SEO - Dancing Badger

When a project goes live, the finished result is the part everybody sees.

A new website. An ecommerce store. A campaign. A new customer journey. Something that looks polished, works properly and hopefully appears as though it was always meant to be that way.

What is less visible is everything that happened before it.

The conversations. The questions. The research. The ideas that were explored and discarded. The details somebody spotted at the last minute. The decisions that moved backwards before they moved forwards.

So we thought it would be useful to go behind the scenes at Dancing Badger and explain what actually happens when we take a digital project from an initial brief through to launch.

Not every project follows exactly the same path.

A website project is different from an ecommerce build, and both are different from a marketing campaign.

But the thinking behind them has a lot in common.

A good project isn’t a relay race where one department finishes its bit and passes the baton on. The strongest work happens when the right people are involved at the right points.

The project starts before anybody starts designing

One of the easiest mistakes in digital work is to begin with the output.

“We need a new website.”

“We need to improve our SEO.”

“We should run Google Ads.”

“We need an ecommerce store.”

Those may eventually be the right answers.

But first we need to understand the question.

What is the business trying to achieve?

Who are the customers?

What is working already?

What is getting in the way?

Is there a technical problem, a visibility problem, a conversion problem, a commercial problem — or several of those things happening together?

That initial understanding shapes almost everything that follows.

Because if we misunderstand the problem at the beginning, there is a very real risk of delivering the wrong solution extremely well.

01 Understand

Clarify the business objective, audience, existing challenges and what a successful outcome should look like.

02 Explore

Review the current position, available data, competitors, customer journeys and wider digital environment.

03 Plan

Agree priorities, scope the work and decide how the different parts of the project need to fit together.

04 Shape

Develop structure, user journeys, content direction and the ideas that will form the experience.

05 Design

Turn the thinking into something visual, usable and appropriate for the people who will actually use it.

06 Build

Develop, configure and integrate the technical parts while continuing to test assumptions from earlier stages.

07 Test

Check content, functionality, devices, journeys, tracking and the details that determine whether the finished project works properly.

08 Launch & learn

Put the work in front of real users, measure what happens and use that information to decide what comes next.

A brief tells us where to start — not necessarily where to finish

Clients normally come to us with an idea of what they need.

Sometimes that idea is already very well developed.

Sometimes the brief is effectively a problem that still needs turning into a project.

Both are perfectly normal.

Our job at the beginning is not simply to write down everything we have been asked to do and begin producing it.

We need to understand why it is being requested.

A client might ask for a redesign when the underlying issue is actually poor navigation.

They might want more website traffic when the bigger opportunity is improving the proportion of existing visitors who enquire.

They might want to advertise a particular service when search behaviour suggests customers describe that service in a completely different way.

Challenging the brief does not mean ignoring what the client wants.

It means making sure the project being built is connected to the outcome they actually care about.

Research is how we reduce expensive guesswork

Before making important decisions, we want to know as much as we reasonably can about the environment the project is entering.

That may involve existing website data.

Search behaviour.

Competitors.

Existing customer journeys.

Advertising performance.

Ecommerce data.

Previous content.

Or simply conversations with people inside the business who understand the customers better than any dashboard ever could.

The purpose is not to delay the creative work with endless research.

It is to make the creative and technical work better informed when it begins.

The earlier we understand the real problem, the less time everybody spends solving the wrong one.

The right specialists need to be involved before their ‘stage’ begins

Digital projects can look very tidy on a project plan.

Strategy first.

Then design.

Then development.

Then content.

Then SEO.

Then analytics.

Real projects are rarely that neat.

A developer may spot a technical implication while something is still being designed.

An SEO specialist may identify an important search opportunity before the site structure is agreed.

A designer may notice that the planned content hierarchy does not make sense visually.

Analytics may show that users behave very differently from the way everybody assumed.

Account management may bring context from the client that changes how a decision should be approached.

That is why collaboration matters.

The objective is not to have everybody involved in every decision.

It is to make sure the right expertise can influence the project while there is still time for that expertise to make a difference.

Client & account

Business context

Keeping the project connected to objectives, priorities, decisions and what is actually happening inside the client’s organisation.

Strategy & data

Evidence

Looking at performance, opportunities, audience behaviour and the information that should influence the direction of the project.

UX & design

Experience

Turning objectives and information into journeys, layouts and interfaces that make sense to the people using them.

Content & search

Language

Making sure the project communicates clearly while considering what customers search for and what they need to understand.

Development

Delivery

Turning the planned experience into something robust, manageable and technically capable of doing what the project requires.

Performance

What happens next

Tracking what users actually do once the project is live and using that information to challenge assumptions and identify improvements.

Collaboration without committee design

More expertise does not mean every decision needs ten opinions.

The point of bringing different disciplines together is to improve the decision, not make the process unnecessarily complicated. Clear ownership still matters. So does knowing when specialist input is useful — and when somebody simply needs to make the call and move the project forward.

Design is where strategy starts becoming visible

By the time a project reaches design, a significant amount of thinking may already have happened.

The audience.

The objectives.

The structure.

The journeys.

The actions we want people to take.

Design turns those decisions into something people can actually experience.

That is why we do not see design as decoration added after the strategy has been completed.

A design decision can change how easy it is to understand a page.

It can alter what somebody notices first.

It can make an important action obvious — or practically invisible.

And sometimes seeing the strategy represented visually exposes a problem nobody had noticed while it existed only as words on a document.

That feedback is useful.

Projects should be allowed to improve as they become more tangible.

Development is not where the thinking stops

Once a design has been approved, it can be tempting to think the difficult decisions have been made and development is simply the process of assembling them.

It rarely works like that.

Development introduces another set of questions.

How should the content be managed?

How does something behave on a smaller screen?

What happens if the client adds significantly more content later?

How should different systems communicate?

What happens when information is missing?

How do we make the feature maintainable rather than merely making it work today?

This is where the experience of people working across website development and ecommerce becomes important.

Good development is partly about writing the code.

It is also about anticipating what the project will need after launch.

Content, SEO and tracking are not jobs we want to discover at the end

Some of the most expensive project problems begin with the phrase: “We’ll sort that out later.”

Content is one example.

A layout that looks perfect with three lines of placeholder copy may behave very differently when the real information arrives.

Search is another.

If SEO only enters the conversation after the structure and URLs have been finalised, opportunities may already have been missed.

The same is true of analytics.

Knowing what should be measured before launch is considerably better than launching first and trying to reconstruct the missing data afterwards.

This is one of the reasons DB Analytics and wider performance measurement are increasingly connected to the work we do.

If success matters, we need a way to recognise it.

Launch day should not be the first time we ask how we are going to know whether the project worked.

Testing is where we deliberately look for problems

By the time a project is close to launch, everybody involved has normally spent a lot of time looking at it.

That familiarity can be dangerous.

You know where the button is, so you stop noticing whether it is obvious.

You know what a field means, so you forget somebody else may not.

You have seen the same page dozens of times, so your brain quietly corrects a typo every time you read it.

Testing means deliberately changing perspective.

Does it work technically?

Does it work across devices?

Does the content make sense?

Do forms and ecommerce journeys behave properly?

Are the important actions measurable?

And can somebody who has not spent weeks inside the project understand what they are supposed to do?

Check 01 Experience

Review navigation, user journeys, calls to action, readability and how the experience behaves across different screen sizes.

Check 02 Content

Check real copy, imagery, links, page titles, product information and the details users will actually encounter.

Check 03 Function

Test forms, ecommerce journeys, integrations, interactions and the technical behaviours the project depends upon.

Check 04 Measurement

Confirm that the important actions can be tracked so the team has useful information once real users arrive.

Then comes the part everybody sees: launch

Launch is an important moment.

It is the point where weeks or months of decisions finally become something customers can use.

But internally, we do not really think of it as the finish line.

It is the moment the project starts receiving a kind of feedback no workshop, prototype or staging site can fully reproduce: real behaviour from real users.

People may behave exactly as expected.

Or they may reveal something none of us anticipated.

A page we expected to be important may receive very little attention.

A secondary route may become one of the strongest conversion journeys.

Search behaviour may shift.

An advertising campaign may expose a weakness on a landing page.

Customers may repeatedly ask a question the new website still does not answer clearly enough.

That information is not evidence that the project failed.

It is evidence that we now know more than we did before launch.

01 Launch

The project moves from a controlled development environment into the real world.

02 Observe

Watch how people arrive, what they engage with and where journeys perform differently from expectations.

03 Learn

Combine analytics, commercial results, customer behaviour and client feedback to understand what the signals mean.

04 Improve

Decide what deserves changing, testing or developing next — then continue the cycle.

Good project management is partly about keeping all of that connected

With several disciplines contributing to a project, somebody also needs to keep sight of the whole thing.

Decisions need recording.

Dependencies need spotting.

Questions need getting to the right person.

Client feedback needs translating into clear actions.

Scope, priorities and deadlines need managing without allowing the project to become purely about administration.

That coordination is less visible than a design or a piece of development, but it has a significant effect on the quality of the finished work.

A project can contain plenty of talented individual work and still struggle if those pieces are not connected.

The process matters, but so does knowing when to adapt it

There is comfort in a perfectly defined process.

Step one.

Step two.

Step three.

Never go backwards.

Digital projects do not always behave like that.

Sometimes research changes the brief.

Sometimes design raises a strategic question.

Sometimes development reveals a better approach.

Sometimes testing exposes something that needs taking back a stage.

The process exists to give the project structure, not to prevent people from responding intelligently when new information appears.

Knowing when to follow the process — and when the project has given you a good reason to revisit something — is part of the experience an agency is there to provide.

What clients see is the outcome. Our job is everything behind it.

Most clients do not need to be involved in every internal conversation.

They should not need to know every technical decision or watch every iteration taking place behind the scenes.

But they should understand the important decisions, know why recommendations are being made and have confidence that the different parts of their project are connected.

That is ultimately what the process is there to achieve.

Not complexity for the sake of complexity.

Not endless meetings.

Not a rigid sequence of agency terminology.

A way of taking an objective, bringing the right expertise around it and gradually turning it into something useful.

Behind the scenes at Dancing Badger

The finished project might look simple. Getting to the right kind of simple usually takes a lot of thinking.

Research, strategy, design, development, content, data and client knowledge all influence the result. The value is not simply completing each stage — it is making sure those stages inform one another.

The exact process will continue to change.

The technology we use will change.

The platforms will change.

And, as we discussed in our article on how AI is changing the way we work at Dancing Badger , some of the tasks involved in delivering digital projects are already becoming faster and more automated.

What matters is that the purpose of the process stays the same.

Understand the problem properly.

Bring the right people to it.

Make informed decisions.

Build carefully.

Measure what happens.

And keep improving.

Start a project

Have something you’re trying to improve, build or solve?

You do not need to arrive with the finished brief. If you know what you are trying to achieve, we can help work out what the project needs to look like from there.

Start a conversation → Website Design Ecommerce SEO PPC DB Analytics Meet the Team

Artificial intelligence has moved very quickly from something agencies experimented with to something that is becoming part of everyday digital work.

At Dancing Badger, that has prompted a slightly different question from simply asking whether we should be using AI.

Where does it genuinely make the work better?

And, just as importantly, where does experience, judgement and human input still matter more?

Those questions are shaping how we use AI across research, analysis, content, technical work and our wider approach to digital growth strategy.

For us, the interesting thing about AI isn’t whether it can do more work. It’s whether it can give our people more time to concentrate on the work that genuinely needs their expertise.

That distinction matters.

Digital agencies have always used technology to make their work more efficient.

Analytics platforms collect millions of data points that would be impossible to process manually. Advertising platforms automate bidding and audience selection. Ecommerce platforms manage transactions, stock and customer journeys at scale.

AI is another significant step in that progression.

But it also introduces something different.

It can summarise, interpret, draft, compare, organise and suggest.

That makes it extremely useful.

It also makes knowing when not to accept the first answer increasingly important.

More suited to AI assistance More dependent on human judgement

Organise

Sorting, structuring and summarising large amounts of information.

Research

Exploring topics, questions, competitors and possible lines of investigation.

Analyse

Helping surface patterns, anomalies and relationships that deserve further attention.

Create

Supporting ideas, structures, first drafts and alternative approaches.

Interpret

Understanding what the information means within the reality of a particular client or market.

Decide

Choosing what should happen, taking responsibility for the recommendation and balancing commercial priorities.

We started with the work that takes time

Some agency tasks are valuable because of the thinking involved.

Others are simply necessary stages you have to complete before you can reach the interesting part.

Gathering information from several sources.

Organising a large volume of notes.

Comparing different datasets.

Producing an initial structure for a piece of content.

Working through repetitive technical problems.

Creating the first version of something that will ultimately need refining.

These are areas where AI can be particularly useful.

Not because the work suddenly becomes unimportant, but because reducing the manual effort involved gives specialists more time to concentrate on what happens next.

The value of AI isn’t removing people from the process. It’s giving people more time for the parts of the process that need judgement.

Research can become faster without becoming automatic

Research is one of the clearest examples.

Whether we are developing a search strategy, reviewing a market, planning a website or exploring opportunities for a client, there is normally a significant amount of information to work through.

AI can help organise that process.

It can help summarise material, group related themes, identify questions that need answering and explore alternative interpretations.

That can make the initial stage substantially more efficient.

But research isn’t finished when information has been collected.

Someone still needs to decide which sources deserve confidence, which findings actually matter and what is relevant to the problem being solved.

A technically correct observation may have almost no commercial importance.

Another apparently small detail may completely change the recommendation.

Context is what separates collecting information from understanding it.

01 Gather

Bring together the available information, data, research and client context.

02 Explore

Use AI to organise information, investigate themes and identify useful questions.

03 Verify

Check sources, assumptions, calculations and claims rather than treating generated output as fact.

04 Interpret

Add client knowledge, commercial context and the experience of the relevant specialist.

05 Decide

Turn that understanding into work or advice that somebody is prepared to stand behind.

AI can help us interrogate data more quickly

The same principle applies to data analysis.

Modern digital businesses generate an enormous amount of information.

Website behaviour. Search performance. Advertising data. Ecommerce transactions. Customer activity. Conversion rates. Geographic patterns. Changes over time.

AI gives us another way to question and interrogate that information.

It can help identify unusual changes, compare periods, group information and bring patterns to the surface more quickly.

That complements the work we already do through DB Analytics and our wider analytics work.

But there is an important distinction between identifying something and understanding why it matters.

If a conversion rate changes, AI can help highlight it.

Understanding whether that change relates to audience quality, seasonality, website behaviour, product mix, campaign activity or something happening elsewhere in the business requires a wider view.

AI can help surface the signal. People still have to decide whether the signal matters.

Content is one of the easiest places to use AI — and one of the easiest places to get it wrong

For many businesses, content generation was their first meaningful encounter with generative AI.

The appeal is obvious.

A tool can produce a blog structure, social post, email draft, product description or page outline in seconds.

Used properly, that can be genuinely valuable.

AI can help develop ideas, explore angles, organise research, challenge a first draft and adapt information into different formats.

But the ease with which content can be generated creates its own problem.

More content does not automatically mean better content.

Without sufficient input and editorial oversight, AI-generated material can become generic, repetitive, inaccurate or completely disconnected from what makes the organisation distinctive.

That matters whether the content is being created to support SEO and search visibility, an email campaign or the wider website experience.

The best input is often the material AI cannot invent.

Genuine client expertise. Real experience. First-hand knowledge. Customer conversations. Original data. A distinctive opinion. The reason something was done in a particular way.

AI can help us work with those ingredients.

It shouldn’t replace them.

Research & strategy

Exploring markets, organising information, challenging assumptions and identifying questions that deserve deeper investigation.

Data & performance

Helping interrogate datasets, compare performance and surface patterns that specialists can investigate further.

Content & marketing

Supporting ideation, structures, initial drafts, variations and the transformation of existing expertise into useful content.

Development & technical work

Assisting with troubleshooting, repetitive code tasks, documentation and exploring implementation approaches before developer review.

Development is becoming AI-assisted too

AI is also increasingly useful in technical work.

It can help developers explore implementation approaches, examine code, troubleshoot problems, create documentation and accelerate repetitive tasks.

For an agency working across websites and ecommerce, that creates some obvious efficiencies.

But producing code and delivering a reliable digital product are very different things.

A developer still needs to understand how that code fits into the wider system.

They need to consider performance, maintainability, accessibility, security, integrations and what happens when something changes six months later.

This is particularly important when working with platforms and technologies supported by partners such as Automattic and Shopify.

AI can assist the developer.

The developer remains responsible for the result.

Strategy is where human judgement becomes more important

AI becomes particularly interesting when it moves from producing things to recommending things.

Give a capable system enough information and it can suggest dozens of possible actions.

Increase advertising.

Create new landing pages.

Improve organic visibility.

Change the customer journey.

Develop more content.

Introduce new automation.

Many of those recommendations may be entirely reasonable.

The challenge is deciding which one deserves priority.

That is where understanding the client becomes essential.

What is the business trying to achieve?

Which customers actually matter most?

What can the business afford?

What can its team realistically deliver?

Which opportunity could create the greatest commercial value?

And which apparently attractive idea should be left alone because there is something more important to do first?

Those are the conversations behind our Growth Strategy approach.

AI can support strategy. It shouldn’t be mistaken for strategy.

Context

Understanding the history, customers, people and commercial realities behind the information.

Judgement

Knowing which signals matter, which assumptions deserve challenging and what should be prioritised.

Creativity

Bringing together ideas, experience and understanding to create something distinctive rather than merely plausible.

Accountability

Being prepared to explain the recommendation, make the decision and take responsibility for the work delivered.

We don’t assume that an AI answer is the right answer

One of the risks created by generative AI is how convincing an incorrect answer can sound.

AI systems can misunderstand context, make unsupported assumptions, misinterpret incomplete information or confidently present something that simply isn’t true.

That means speed has to be accompanied by verification.

If something is factual, the source matters.

If something is based on data, the data needs checking.

If something represents a client’s brand, it needs to sound like the client.

And if something is going to influence a commercial decision, somebody needs to understand how that conclusion was reached.

Stage 01 Generate

Use AI to explore, summarise, analyse, draft or investigate.

Stage 02 Challenge

Question assumptions, look for gaps and test whether the response actually answers the problem.

Stage 03 Verify

Check factual claims, source material, calculations, technical details and client-specific information.

Stage 04 Own it

A specialist reviews the final work and takes responsibility for what reaches the client or goes live.

AI is changing what valuable agency time looks like

Perhaps the most significant change is not what AI can produce.

It is what happens to the time that no longer needs to be spent producing it manually.

If gathering and organising information takes less time, more time can be spent interpreting it.

If a first draft appears more quickly, more time can be spent improving the thinking and making it distinctive.

If analysis can be explored faster, more questions can be asked of the data.

If repetitive technical tasks become easier, developers can focus more attention on solving the harder parts of a project.

This is the opportunity we find most interesting.

Not simply doing exactly the same work faster.

Using that efficiency to spend more time on work that creates greater value.

Technology keeps changing

AI doesn’t sit in isolation from the rest of the digital ecosystem.

The platforms our clients already use are themselves becoming more intelligent and automated. Our role is to understand how those capabilities fit into the wider website, marketing, ecommerce and data environment rather than adopting technology simply because it is new.

Google Microsoft Meta Automattic Shopify Klaviyo

AI is becoming part of the workflow, rather than a separate activity

The longer-term change is likely to be less visible.

Instead of somebody deciding to “use AI” for a particular task, AI-assisted capabilities increasingly become part of the tools and processes already being used.

Research becomes easier to interrogate.

Reporting becomes easier to question.

Information can move between different stages of a project more efficiently.

Repetitive processes can become easier to manage.

This direction also connects with the thinking behind Growth Strategy and the way we are developing Growth Intelligence.

The objective isn’t to ask technology to make every decision.

It is to make the right information easier for people to work with when they make those decisions.

So what does that mean for our clients?

Ideally, very little of this should feel like technology for technology’s sake.

The benefit should appear in the work itself.

Research can move more quickly.

More information can be considered.

Data can be explored from more angles.

Repetitive tasks can consume less specialist time.

And our team can spend more of that time interpreting, questioning, improving and solving.

Clients still work with the people behind Dancing Badger.

Our specialists still make recommendations, challenge assumptions, develop ideas and take responsibility for the work.

They simply have access to better tools.

AI at Dancing Badger

The more capable the technology becomes, the more important it is to know when to trust it, when to challenge it and when not to use it at all.

We see AI as another powerful tool in the agency toolkit — one that can accelerate research, analysis and delivery, while making human judgement, creativity and accountability even more important.

AI will undoubtedly continue to change the way digital agencies work.

The tools we use in twelve months may look very different from the tools available today.

What is less likely to change is what clients ultimately need from us.

Understand the problem.

Understand the opportunity.

Bring the right expertise to it.

Make a clear recommendation.

And be accountable for the result.

AI can help us do all of those things more effectively.

But it is the people behind the technology who still have to decide what good looks like.

Looking at how technology could create more value from your digital activity?

Our work brings together strategy, data, websites and digital marketing to identify where technology can genuinely improve performance rather than adding complexity for its own sake.

Growth Strategy Data Analysis DB Analytics SEO PPC Website Design Ecommerce Email Marketing

The Great Barn Devon is a premium wedding and events venue located in Devon, offering exclusive-use weddings, luxury accommodation and event experiences.

The venue already had a talented internal marketing team and a clear direction for its brand and digital presence. However, specialist support was required to ensure that both the website and digital marketing infrastructure were implemented effectively.

Rather than taking ownership away from the client, Dancing Badger worked alongside the existing team, providing technical expertise, strategic guidance and implementation support where required.

This collaborative approach helped strengthen both online visibility and marketing performance whilst allowing the client to maintain control of its ongoing activity.

+24.7%

Increase In Organic Search Traffic Year On Year

View the The Great Barn Devon project

Key Results

+24.7%

Increase in Organic Search Traffic

Organic Search sessions increased from 728 to 908 year on year, helping The Great Barn Devon attract more prospective visitors through search engines.

+66.6%

Increase in AI Discovery Traffic

Traffic from AI Assistant platforms grew from zero to 66 sessions, helping position the venue for emerging search behaviours and AI-powered discovery.

+25%

Increase in Searches for “The Great Barn Exeter”

Branded local search demand increased significantly, indicating stronger awareness and local visibility.

121 Wedding-Enquiry Actions Generated Through Google Ads

The newly launched Google Ads campaign generated brochure downloads, lead form submissions, conversation starts and call interactions, creating a strong foundation for ongoing lead generation.

The Client

The Great Barn Devon is a luxury wedding and events venue offering exclusive-use celebrations, on-site accommodation and bespoke guest experiences.

As competition within the wedding venue sector continues to increase, ensuring strong visibility across local search, wedding-related searches and paid advertising channels is critical for attracting new enquiries and bookings.

The Challenge

The Great Barn Devon already had a strong brand and a clear vision for its digital presence.

However, there were several areas where specialist support would deliver greater impact:

Building and implementing the website effectively
Providing technical expertise beyond internal resources
Setting up and launching Google Ads campaigns
Improving local SEO visibility
Establishing systems for local search monitoring
Supporting long-term organic growth
Enhancing visibility for wedding venue searches
Providing guidance without disrupting internal processes

The objective was to strengthen performance whilst supporting, rather than replacing, the existing marketing team.

Our Role

Website Development & Technical Delivery

The Great Barn Devon approached Dancing Badger with an established vision and design direction for the website.

Our role was to provide the technical expertise required to transform those concepts into a fully functioning, user-friendly website capable of supporting long-term growth.

By working closely with the internal team, we helped ensure the final website reflected both the venue’s brand and commercial objectives.

SEO Consultancy

SEO support focused on helping The Great Barn Devon increase visibility across wedding and venue-related searches.

This included:

Technical SEO recommendations
Search visibility analysis
Keyword opportunities
Website structure recommendations
Local SEO improvements
Content guidance

As part of the project, we recommended and implemented BrightLocal, allowing the team to monitor and improve local SEO performance on an ongoing basis. The internal team continues to use and manage this platform independently.

Google Ads Setup

Dancing Badger helped establish Google Ads activity designed to generate qualified wedding enquiries.

Campaigns were configured to support:

Brochure downloads
Enquiry generation
Lead forms
Phone interactions
User engagement

From launch, the campaign generated more than 120 measurable engagement and enquiry actions, providing a valuable source of qualified leads.

Strategic Consultancy

A key part of the engagement was providing strategic input rather than simply executing tasks.

This included:

Marketing advice
Technical recommendations
Search visibility guidance
Audience insights
Platform recommendations
Best-practice implementation

This flexible approach allowed the in-house team to remain in control whilst gaining access to specialist expertise whenever required.

The Approach

Our role was never to replace The Great Barn Devon’s internal marketing team.

Instead, we focused on complementing and supporting existing resources.

By understanding the client’s structure and strengths, we were able to step in where specialist knowledge was needed whilst allowing the internal team to continue leading day-to-day marketing activity.

This consultative model ensured:

Growth could continue sustainably
Knowledge remained within the business
Internal resources were strengthened
Best-practice tools were implemented
Specialist expertise was available when required

Results

Key Outcomes

24.7% increase in Organic Search traffic
Increased visibility across wedding-related search terms
Improved local SEO infrastructure through BrightLocal implementation
Successful delivery of the website build
Google Ads campaign launched and configured
121 wedding-focused enquiry and engagement actions generated
Strong growth in branded local search demand
Improved rankings for key wedding venue searches
Ongoing support provided without replacing the in-house team

Improving Visibility for Wedding Venue Searches

One of the most significant areas of growth came through improved visibility for wedding-related searches.

Search performance improved across key terms including:

Devon wedding venue
Wedding venues in Exeter
Small wedding venues Devon
Wedding venues with accommodation

Several of these searches showed substantial ranking improvements, increasing opportunities for prospective couples to discover the venue through organic search.

Supporting, Not Replacing, Internal Teams

The Great Barn Devon perfectly reflects the philosophy behind DB Growth.

Not every business wants or needs a fully outsourced marketing function.

Many organisations already have talented internal teams and simply require additional expertise in specific areas.

Our role was to provide that expertise, helping the client move faster, avoid technical pitfalls and implement industry-leading tools and strategies while keeping ownership and knowledge within the business.

Conclusion

The Great Barn Devon project demonstrates the value of a flexible, consultative approach to digital marketing.

By combining website development expertise, SEO consultancy, Google Ads implementation and ongoing strategic support, Dancing Badger helped strengthen the venue’s digital foundations whilst supporting the existing marketing team.

The result was a successful website launch, a 24.7% increase in organic search traffic, improved wedding venue visibility and a paid advertising programme generating more than 120 wedding-related lead and engagement actions. Most importantly, the project showcases how specialist support can work alongside internal teams to accelerate growth without replacing existing capabilities.

Operating within the luxury home and interiors sector requires more than simply attracting traffic. Success depends on reaching the right customers, showcasing products effectively and creating a seamless path to purchase.

Dancing Badger worked with Brights of Nettlebed to improve visibility, strengthen customer acquisition and maximise the return from digital marketing activity. Through a combination of SEO, PPC optimisation, audience targeting and data analysis, we developed a strategy focused on delivering measurable commercial growth.

The result was improved engagement, stronger conversion performance and increased visibility across multiple acquisition channels.

+364%

Year On Year Ad Conversions

View the Brights of Nettlebed project

Key Results

+321%

Increase in Direct Traffic

Brand awareness and customer engagement increased significantly, resulting in more than three times as many direct sessions year on year.

+78%

Increase in Organic Search Conversions

SEO-led improvements helped organic search generate substantially more conversion events, demonstrating improved visibility and stronger user engagement.

+53%

Increase in Paid Search Traffic

Targeted paid search activity increased traffic volumes while maintaining strong engagement and conversion quality.

+58.9%

Increase in Paid Search Conversions

Campaign optimisation and improved targeting delivered significant growth in key conversion actions from paid search users.

+52%

Improvement in Paid Search Conversion Rate

Paid Search session conversion rates increased substantially year on year, demonstrating more effective traffic acquisition and optimisation.

The Client

Brights of Nettlebed is a well-established luxury retailer offering premium furniture, interiors and lifestyle products.

The business serves customers seeking quality craftsmanship, timeless design and exceptional products for the home. As competition within ecommerce continues to increase, maintaining visibility across organic and paid channels is essential for attracting new customers and driving online sales.

The Challenge

While Brights of Nettlebed already had a strong reputation, opportunities existed to improve digital acquisition performance and maximise marketing efficiency.

Our objectives included:

Increasing high-quality website traffic
Expanding organic search visibility
Improving paid advertising performance
Strengthening conversion rates
Improving audience targeting
Enhancing customer journeys
Increasing acquisition across multiple channels
Supporting long-term ecommerce growth

The goal was to create a joined-up digital strategy capable of delivering sustainable commercial improvements.

Our Role

Data Analysis & Growth Strategy

The project began with a comprehensive review of website and campaign performance data.

Our data analysis focused on:

Acquisition channels
User behaviour
Conversion performance
Campaign effectiveness
Audience segmentation
Product engagement
Growth opportunities

These insights allowed us to prioritise activity and focus investment on the channels delivering the strongest returns.

SEO Strategy

SEO activity focused on improving visibility and helping customers discover products through organic search.

This included:

Keyword research
Technical SEO improvements
Metadata optimisation
Content recommendations
Internal linking enhancements
Search intent analysis
Ongoing performance monitoring

These improvements helped maintain strong organic visibility while increasing conversion opportunities from search traffic.

PPC Management

Paid media activity was continually refined to improve performance and efficiency.

Our PPC work included:

Campaign optimisation
Audience targeting
Search term analysis
Bid management
Budget allocation
Ad testing
Landing page recommendations

These refinements generated stronger engagement and increased conversion performance from paid channels.

Audience Segmentation & CRO

Understanding customer behaviour played an important role throughout the project.

Through audience analysis and conversion rate optimisation recommendations, we identified opportunities to:

Improve user journeys
Enhance product discovery
Reduce friction during the buying process
Increase conversion rates
Improve marketing effectiveness

This helped maximise the value of incoming traffic.

AI Recommendations & Copywriting

Alongside manual analysis, AI-assisted recommendations were used to identify growth opportunities, enhance content and support optimisation efforts across the website.

This ensured ongoing improvements were informed by both data and user intent.

The Approach

The strategy was built around a simple principle: use data to identify where the greatest opportunities existed and focus resources accordingly.

Rather than treating SEO and PPC as separate disciplines, performance insights were shared across channels.

Search behaviour informed content planning.
Campaign performance informed acquisition strategy.
User engagement informed CRO recommendations.
Audience data informed targeting and segmentation.

This integrated approach created a more efficient and effective growth programme.

Results

Key Outcomes

321% increase in Direct traffic
78% increase in Organic Search conversions
53% increase in Paid Search traffic
58.9% increase in Paid Search conversions
52% improvement in Paid Search conversion rate
Improved engagement across paid and organic channels
Stronger customer acquisition performance
Enhanced audience targeting and segmentation
More effective conversion pathwaysIncreased visibility across key acquisition channels

Strengthening Acquisition Across Organic & Paid Channels

A key success of the project was creating stronger alignment between acquisition channels.

SEO activity helped attract highly engaged visitors through organic search, while PPC campaigns captured high-intent customers actively researching products and ready to purchase.

Together, these channels generated stronger customer acquisition opportunities and increased conversion performance across the website.

Turning Data Into Commercial Growth

Performance data sat at the centre of every recommendation made throughout the project.

By continually analysing customer behaviour, campaign results and engagement metrics, we were able to identify new opportunities, refine existing activity and ensure marketing investment remained focused on delivering measurable outcomes.

This approach allowed Brights of Nettlebed to make informed decisions and continually improve performance across digital channels.

Combining SEO, PPC & CRO for Sustainable Growth

The success of the project came from integrating multiple marketing disciplines into a single strategy.

SEO improved long-term visibility.
PPC generated targeted traffic.
Audience segmentation improved targeting accuracy.
CRO enhancements improved conversion performance.

Together, these activities delivered stronger acquisition performance and helped build a sustainable foundation for future ecommerce growth.

Conclusion

The Brights of Nettlebed project demonstrates the value of combining SEO, PPC, audience insight and conversion optimisation within a unified growth strategy.

Through ongoing analysis, campaign optimisation and customer-focused improvements, Dancing Badger helped Brights of Nettlebed increase traffic, improve conversion performance and strengthen marketing efficiency.

The result was a 321% increase in Direct traffic, a 53% increase in Paid Search traffic, a 58.9% increase in Paid Search conversions and a 78% increase in Organic Search conversions, creating a stronger platform for long-term ecommerce growth.

National Family Mediation operates within a highly sensitive and competitive sector where individuals often require support during significant life events. Ensuring that users can quickly find trusted information and access appropriate mediation services is essential.

Dancing Badger worked closely with National Family Mediation to improve online visibility, increase enquiry volumes and maximise the performance of digital marketing activity. By combining SEO, paid advertising, audience analysis and ongoing optimisation, we created a strategy focused on reaching users at the point they were actively seeking support.

The result was stronger campaign performance, increased lead generation and a more effective digital acquisition strategy.

+43.9%

Increase in PPC Conversions Year on Year

View the National Family Mediation project

Key Results

+43.9%

Increase in PPC Conversions Year on Year

Targeted campaign improvements and ongoing optimisation generated significantly more enquiries and conversion opportunities from paid media.

+47.4%

Increase in PPC Clicks Year on Year

Improved visibility and audience targeting helped National Family Mediation reach substantially more prospective service users.

+268%

Improvement in Paid Search Conversion Rate

Campaign refinements dramatically increased the proportion of users completing key actions after arriving via paid search.

+150%

Increase in Paid Search Key Events

Paid Search generated significantly stronger lead-generation performance compared with the previous year.

The Client

National Family Mediation is a leading, non-profit provider of family mediation services, helping families find constructive solutions to challenges involving separation, finances and child arrangements.

As more people turn to search engines when seeking information about mediation services, maintaining strong visibility across both organic and paid channels is vital for connecting individuals with appropriate support.

The Challenge

National Family Mediation already had a well-established service offering, but opportunities existed to strengthen digital performance and improve lead generation.

Key objectives included:

Increasing qualified enquiry volumes
Improving PPC efficiency
Strengthening visibility for mediation-related searches
Improving audience targeting
Enhancing user journeys
Increasing conversion rates
Expanding reach across key acquisition channels
Using data more effectively to support decision-making

The goal was to ensure marketing investment generated the greatest possible impact while helping more people access mediation services.

Our Role

Data Analysis & Strategic Planning

The project began with a detailed review of performance data across Google Analytics 4, Google Ads and website engagement metrics.

Our analysis focused on:

User acquisition channels
Conversion performance
Audience behaviour
Search demand
Campaign efficiency
User journeys
Engagement metrics

This insight allowed us to identify opportunities for growth and prioritise optimisation activity around channels with the highest potential.

SEO Strategy

Alongside paid advertising improvements, we delivered ongoing SEO support designed to strengthen organic visibility and improve website relevance.

Activities included:

Keyword research
Search intent analysis
Content recommendations
Metadata optimisation
Internal linking recommendations
Technical SEO improvements
Page-level optimisation

This ensured National Family Mediation continued to maintain a strong presence in organic search whilst supporting long-term visibility growth.

PPC Management & Optimisation

A significant focus of the project was improving the performance of paid search campaigns.

Our work included:

Campaign restructuring
Audience segmentation
Bid optimisation
Search term analysis
Budget management
Ad copy testing
Landing page recommendations
Ongoing performance reviews

These refinements helped improve campaign quality, attract more relevant traffic and increase conversion volumes.

Audience & Segmentation

Understanding audience behaviour was central to the strategy.

Through segmentation analysis, we were able to better understand how different users searched for and engaged with mediation services. This enabled more targeted campaign delivery and improved advertising efficiency.

AI Recommendations & Copywriting

Using a combination of expert analysis and AI-assisted recommendations, we identified opportunities to improve messaging, strengthen content and enhance user engagement throughout the website.

This supported both SEO performance and conversion optimisation efforts.

The Approach

The strategy focused on creating a joined-up digital marketing programme where every channel contributed towards the same objective: generating more qualified enquiries.

Rather than treating SEO and PPC as separate activities, insights were shared across channels to create a more cohesive acquisition strategy.

Search behaviour informed content improvements.
Campaign data informed audience targeting.
User behaviour informed conversion recommendations.
Performance analysis informed future optimisation priorities.

This integrated approach ensured activities remained aligned with measurable business outcomes.

Results

Key Outcomes

43.9% increase in PPC conversions year on year
47.4% increase in PPC clicks year on year
268% improvement in Paid Search conversion rate
150% increase in Paid Search key events
Improved lead generation performance
Greater efficiency from marketing spend
Enhanced audience targeting
Strong organic search visibility maintained
Increased acquisition opportunities across multiple channels
More users successfully engaging with mediation services

Improving the Quality of Enquiries

One of the project’s primary objectives was not simply to attract more traffic but to improve the quality of traffic reaching the website.

By refining audience targeting, improving campaign relevance and enhancing user journeys, National Family Mediation was able to connect with more individuals actively seeking mediation support and increase the likelihood of meaningful engagement.

This improvement in traffic quality contributed directly to stronger conversion performance across digital channels.

Using Data to Drive Better Decisions

Data analysis remained at the centre of every recommendation throughout the project.

Regular performance reviews allowed us to identify trends, uncover new opportunities and continually refine campaign activity.

This ensured optimisation decisions were driven by real user behaviour rather than assumptions, helping National Family Mediation maximise the effectiveness of its digital marketing investment.

Combining SEO, PPC & Audience Insight

The success of the project came from integrating multiple disciplines into a single growth strategy.

SEO supported long-term visibility.
PPC generated immediate demand.
Audience segmentation improved targeting.
Data analysis informed optimisation.

Together, these activities created a stronger and more sustainable digital acquisition framework capable of delivering measurable results.

Conclusion

The National Family Mediation project demonstrates the value of combining SEO, PPC, audience insight and data analysis to drive meaningful lead-generation growth.

Through ongoing optimisation, campaign refinement and a data-led approach to decision-making, Dancing Badger helped National Family Mediation increase visibility, improve conversion performance and generate substantially more enquiries.

The result was a 47.4% increase in PPC clicks, a 43.9% increase in PPC conversions and a 268% improvement in Paid Search conversion rate, creating a stronger platform for long-term growth and helping more individuals access the support they need.

English Roses operates within a highly competitive ecommerce market where customers are often purchasing for significant life events, celebrations and milestones.

Success depends on reaching customers at the right moment with the right message, whether they are searching for anniversary gifts, named roses, birthday presents or commemorative products.

Dancing Badger worked closely with English Roses to create a marketing strategy that combined organic search growth with more efficient paid advertising and conversion improvements. The objective was not simply to generate more traffic, but to increase the quality of visitors arriving on the site and improve overall return on investment.

+312%

ROI Increase Year On Year

View the English Roses project

Key Results

+312%

Increase in ROI Year on Year

A combination of SEO, PPC optimisation, audience targeting and conversion improvements delivered substantially stronger marketing efficiency and commercial return.

+544%

Growth in Traffic from Key Anniversary Search Themes

Improved rankings and visibility helped English Roses capture significantly more users searching for milestone anniversary gifts.

+208%

Growth in Ruby Wedding Anniversary Search Visibility

Targeted optimisation and improved content helped strengthen performance for one of the site’s most commercially valuable anniversary categories.

+530%

Increase in Referral Traffic

Broader brand visibility and improved digital performance contributed to substantial growth from referral channels.

The Client

English Roses specialises in named roses, anniversary roses and commemorative gift products designed to celebrate life’s most important moments.

The brand has built a strong reputation for quality and personalisation, making it a popular choice for customers searching for meaningful gifts to mark birthdays, anniversaries and special milestones.

As search behaviour continues to evolve, maintaining visibility across both transactional and informational searches became increasingly important for continued growth.

The Challenge

Although English Roses already had a strong foundation, several opportunities existed to improve performance.

These included:

Increasing visibility beyond brand searches
Growing market share across anniversary gifting categories
Improving PPC efficiency and return on ad spend
Identifying new customer acquisition opportunities
Strengthening rankings for commercial gifting searches
Improving conversion performance
Expanding visibility for rose-related informational searches
Creating a more data-driven growth strategy

The challenge was to develop a scalable approach capable of delivering sustainable growth across multiple marketing channels.

Our Role

Data Analysis & Strategic Planning

Every recommendation was informed by data.

Using Google Analytics 4, Google Search Console and advertising platform insights, we analysed:

Customer acquisition channels
Seasonal purchasing trends
Product performance
Search demand
Audience behaviour
Conversion opportunities
Campaign effectiveness

This analysis formed the foundation for both SEO and paid marketing strategies.

SEO Strategy

Our SEO programme focused on increasing visibility across commercially valuable search themes.

This included:

Keyword research
Search intent analysis
Metadata optimisation
Technical SEO improvements
Internal linking enhancements
Category page optimisation
Content development
Ongoing performance monitoring

Particular focus was placed on high-converting anniversary-related searches where demand and purchase intent were strongest.

PPC Optimisation

Paid advertising campaigns were continually refined through:

Audience segmentation
Search term analysis
Bid adjustments
Budget optimisation
Campaign restructuring
Ad copy testing
Landing page recommendations

This helped deliver greater efficiency from advertising spend while improving overall return on investment.

CRO & User Experience Improvements

Alongside acquisition activity, we identified opportunities to improve conversion performance throughout the customer journey.

Recommendations focused on:

User experience improvements
Customer journey optimisation
Landing page enhancements
Product discovery
Purchase decision support

These improvements ensured more traffic translated into commercial results.

Content Strategy

Search data revealed significant opportunities across content themes including:

Wedding anniversaries
Milestone birthdays
Named roses
Rose varieties
Gift inspiration
Rose meanings
Seasonal gifting occasions

Strategic content development helped English Roses capture additional search demand whilst strengthening topical authority across key product categories.

The Approach

The project was built around a unified growth strategy where SEO, PPC, content and conversion optimisation worked together.

Rather than treating channels independently, insights were shared across every aspect of the marketing programme.

Search data informed content creation.
PPC data informed SEO priorities.
Customer behaviour informed conversion improvements.
Seasonality data informed promotional planning.

This integrated approach ensured resources were focused on areas with the greatest commercial potential.

Results

Key Outcomes

312% increase in ROI year on year
544% growth across key anniversary search themes
208% increase in Ruby Wedding Anniversary search performance
530% increase in referral traffic
Increased visibility across gifting-related search queries
Improved rankings for milestone anniversary keywords
Enhanced PPC efficiency and campaign performance
Stronger audience targeting and segmentation
Greater reach beyond existing brand demand
Improved customer acquisition opportunities
Increased visibility throughout the customer buying journey

Strengthening Visibility for Anniversary Gifting

One of the most successful areas of the project was expanding visibility across anniversary-related searches.

Search data highlighted growing demand around milestone anniversaries, with particularly strong opportunities in categories such as Ruby, Golden, Diamond and other commemorative gifting occasions.

By improving category optimisation, refining keyword targeting and creating supporting content, English Roses strengthened its visibility across some of its most commercially valuable search themes.

This not only generated additional traffic but also introduced the brand to a wider audience actively researching meaningful anniversary gifts.

Building Demand Beyond Brand Searches

A key objective was reducing reliance on existing brand awareness by increasing visibility among new customers.

Through category optimisation, content development and strategic campaign management, English Roses expanded its reach across broader gifting and rose-related searches.

This allowed the business to appear earlier in the customer journey, creating more opportunities to influence purchasing decisions before competitors.

Combining SEO, PPC & Data for Long-Term Growth

The project demonstrates the power of integrating multiple channels under a single growth strategy.

Rather than focusing on individual tactics, every recommendation was driven by customer behaviour, search demand and commercial performance.

The combination of SEO, PPC, content, conversion optimisation and strategic analysis enabled English Roses to improve visibility, attract more qualified visitors and increase marketing efficiency across the business.

Conclusion

The English Roses project demonstrates how a data-led marketing strategy can unlock substantial ecommerce growth.

Through a combination of SEO, PPC optimisation, audience segmentation, conversion improvements and content development, Dancing Badger helped English Roses strengthen its online presence, increase customer acquisition opportunities and achieve a 312% increase in ROI year on year.

Most importantly, the project established a scalable framework for continued growth, enabling English Roses to expand visibility beyond existing brand demand and reach more customers at every stage of their buying journey.

LHP Medical Aesthetics operates within a highly competitive market where patients increasingly conduct extensive online research before booking a consultation.

The objective was to increase the clinic’s visibility across organic search, improve how users discovered treatments and create a website structure that better aligned patient concerns with available solutions.

Dancing Badger delivered a comprehensive SEO strategy combining technical optimisation, content development, keyword research and website improvements. The project was designed not only to increase traffic but to improve the quality of traffic arriving on the website and make it easier for users to find relevant treatment information.

+75.07%

Increse in Organic Traffic Year On Year

View the LHP Medical Aesthetics project

Key Results

+75.07%

Increase in Organic Traffic Year on Year

A strategic SEO and content programme delivered substantial year-on-year organic growth and established organic search as the clinic’s strongest acquisition channel.

+73.35%

Growth in Organic Search Sessions

Organic search sessions increased by more than 73%, demonstrating significantly improved visibility across treatment and condition-related searches.

+530.77%

Increase in Referral Traffic

Enhanced visibility and a stronger online presence contributed to a substantial increase in referral traffic year on year.

The Client

LHP Medical Aesthetics offers advanced non-surgical aesthetic treatments designed to address a range of skin, facial and ageing concerns.

The clinic’s focus on professional treatments and patient care meant there was a strong opportunity to attract more qualified traffic through organic search, provided the website could effectively match patient intent and answer key pre-treatment questions.

The Challenge

The website contained valuable treatment information, but several challenges were limiting its ability to maximise organic performance:

Opportunities to improve visibility for treatment-related keywords
Limited coverage of condition-based searches
Scope to strengthen internal linking between treatments
Opportunities to expand topical authority through supporting content
Potential to improve technical and on-page SEO signals
Need for a clearer patient journey between concerns and treatments

The challenge was to create a structure that worked for both users and search engines while supporting future growth.

Our Role

Data Analysis & Insights

The project began with a comprehensive review of performance data using Google Search Console and Google Analytics 4.

This analysis helped identify:

Treatment pages with the greatest growth potential
Search behaviour trends
User engagement patterns
Content gaps
High-value keyword opportunities
Areas requiring optimisation

By understanding how users interacted with the website, we could make more informed strategic recommendations.

SEO Strategy

A full SEO optimisation programme was implemented across the website, including:

Keyword research
Page title optimisation
Meta description updates
Heading structure optimisation
Content improvements
Internal linking enhancements
Technical SEO recommendations

Each key page was reviewed and optimised to improve relevance, search visibility and user experience.

Conditions Section Development

One of the most significant improvements was the introduction of a dedicated Conditions section.

Rather than focusing exclusively on treatment names, the new structure addressed the concerns patients were actively searching for, including issues such as skin ageing, pigmentation, acne and rosacea.

Each condition page was linked to the most appropriate treatment options, creating a more intuitive user journey while helping search engines better understand the relationship between concerns and solutions.

Content Cluster Strategy

To strengthen topical authority, we analysed search behaviour and developed supporting content clusters around key treatment areas.

This content strategy focused on building relevance around themes including:

Skin rejuvenation
Anti-ageing treatments
Acne and acne scarring
Pigmentation concerns
Facial aesthetics
Preventative treatments
Skin health and maintenance

The resulting content ecosystem helped support both category-level visibility and treatment page performance.

AI Recommendations & Copywriting

Alongside manual SEO analysis, AI-assisted recommendations were used to identify content opportunities, strengthen internal linking and enhance topical coverage across the website.

This allowed content improvements to be implemented strategically and at scale.

The Approach

The project focused on aligning the website more closely with real-world patient behaviour.

Rather than simply promoting treatments, the strategy was built around understanding:

What prospective patients were searching for
Which concerns generated the highest demand
How users moved through the website
Which content gaps existed within the patient journey

From this analysis, we implemented a joined-up strategy consisting of:

Technical SEO improvements
Enhanced site architecture
Conditions-based content
Treatment page optimisation
Strategic internal linking
Blog content cluster development

Together, these improvements created a website that was more visible, more useful and better positioned to attract qualified traffic.

Results

Key Outcomes

75.07% increase in organic traffic year on year
73.35% increase in organic search sessions
More than 530% increase in referral traffic
Organic search became the clinic’s primary acquisition channel
Improved visibility across treatment and condition-related searches
Enhanced internal linking structure
Creation of a dedicated Conditions hub
Stronger content relevance and topical authority
Increased engagement from organic search users
More opportunities for consultation enquiries and lead generation

Creating Condition-Led Patient Journeys

A significant factor in the project’s success was understanding how patients search.

Many prospective clients search for concerns such as acne, rosacea, pigmentation or ageing skin before they search for a specific treatment.

The dedicated Conditions section allowed LHP Medical Aesthetics to address this behaviour directly, helping users find relevant information faster and creating stronger pathways towards appropriate treatments.

Building Authority Through Content

The content cluster strategy enabled LHP Medical Aesthetics to grow beyond individual treatment pages.

By creating supporting content around key aesthetic themes and patient concerns, the website was able to address a wider range of search intents while strengthening the authority of core treatment pages through strategic internal linking.

This approach laid the foundations for continued long-term organic growth.

Conclusion

The LHP Medical Aesthetics project demonstrates the value of combining data analysis, SEO expertise and content strategy to drive sustainable growth.

Through a comprehensive programme of keyword research, website optimisation, condition-led content development and topical authority building, Dancing Badger helped transform organic search into the clinic’s leading digital acquisition channel.

The result was a 75.07% increase in organic traffic, a 73.35% increase in organic search sessions and significantly greater visibility across both treatment and condition-focused searches, helping more prospective patients discover the right solutions at the right stage of their journey.

Executive summary Search visibility is no longer limited to pages on your website.

Google can surface and measure content from platforms such as Instagram, TikTok, X and YouTube, while AI-led search experiences increasingly connect information from multiple sources before a customer ever reaches a website.

Your website still matters enormously. But modern SEO increasingly means making sure your brand is clear, useful and discoverable across the wider digital places where people search, research and compare.

Takeaway: SEO is becoming less about ranking one website and more about building a connected search presence wherever your customers look for answers.

For years, SEO was easy to picture.

A customer searched Google. Google showed a list of websites. The goal was to make your website appear as high as possible for the searches that mattered.

That is still part of search optimisation — and a very important part.

But it is no longer the whole picture.

Search results can now include videos, social posts, local listings, images, products, discussion content, AI-generated answers and traditional website pages. Customers can discover a business on one platform, research it on another and only visit the website much later in the journey.

Google itself is now acknowledging this change in the tools it gives marketers.

In July 2026, Google made new Search Console platform properties globally available, allowing businesses and creators to see how content from Instagram, TikTok, X and YouTube performs in Google Search, Discover and Google News.

That is a significant shift.

Search Console has traditionally been one of the clearest windows into the performance of a website in Google. It can now show search impressions, clicks and queries for content that does not live on your website at all.

If Google is measuring the search performance of your social and video content, SEO can no longer be thought of as something that happens only inside the website CMS.

01 The search result has changed

Your website is still important. It is just no longer the only thing that can be found.

The traditional ten-blue-links view of Google has been changing for a long time.

Maps, Shopping results, images, videos and featured results have already changed how people move through search. AI Overviews and AI Mode have pushed that change further by helping people explore more complex questions without following a simple one-query, one-result journey.

Google says its AI search features can use multiple related searches across different subtopics and data sources before building a response and linking people to supporting content.

At the same time, social and video content is becoming easier for Google to surface and measure.

This means a brand can appear in search through several different assets rather than one website URL.

Owned Website pages

Service pages, product pages, articles, guides, case studies and landing pages.

Social Social posts

Public content on platforms such as Instagram, TikTok and X can become part of search discovery.

Video YouTube & video

Video can appear across standard results, video search, images and Discover.

Local Business information

Profiles, reviews, locations and locally relevant information influence how a brand is discovered.

AI search Supporting sources

AI Overviews and AI Mode can surface links from a wider set of relevant pages and sources.

One brand, multiple search surfaces

The opportunity is no longer simply “rank the homepage”. It is to make the brand discoverable wherever the customer’s question is being answered.

This changes the role of SEO.

Technical health, site structure, page quality, internal linking and search intent remain fundamental. Google is explicit that the same core SEO best practices continue to apply to AI Overviews and AI Mode.

But businesses now need to think about the wider collection of content and profiles representing them in search.

02 Google has made the shift measurable

Search Console now measures social and video content

One of the clearest signs that search is expanding beyond the website came from Google Search Console in July 2026.

Google introduced platform properties for Instagram, TikTok, X and YouTube. After an initial rollout, Google confirmed on 29 July that they were globally available.

A verified platform property can show the Google search terms that led people to social or video content, along with clicks, impressions, trending content and broader performance information.

Google also encourages businesses and creators to compare performance across platforms and use the data to influence future topics, captions, titles and content formats.

Instagram

See which posts and search themes are generating visibility from Google.

TikTok

Track search discovery of short-form content and the queries behind it.

Measure the Google search performance of public posts and account content.

YouTube

Connect video discovery with the search terms and content driving visibility.

Google Search Console One search-performance view

Clicks, impressions, queries, trending posts and platform-level visibility can help shape a connected search and content strategy.

That creates a useful new relationship between SEO, social media and content.

A social team no longer needs to judge every post only by likes, comments or platform reach. Some content may also be answering searchable questions and building visibility outside the social platform itself.

Equally, an SEO team can use social and video performance as another source of customer-language and topic insight.

If a YouTube video or Instagram post is repeatedly being discovered for a particular question, that may be evidence for a new article, service page, FAQ, video series or campaign.

Search data can start informing social content — and social search data can start informing SEO.

Google’s platform-property guidance

Google announced platform properties in July 2026 and confirmed their global availability on 29 July. Read Google’s platform properties and social/video performance guide for the latest setup and reporting information.

If customers can discover your expertise before they reach your website, search strategy has to start before the website too.

03 Content needs different jobs

One idea can create visibility across several search environments

This does not mean copying the same piece of content onto every platform.

Different formats answer different parts of the customer journey.

A detailed website article may explain a complex subject properly. A short video can demonstrate a process quickly. A social post can show a first-hand example. A case study can provide proof. A service page can turn that research into an enquiry.

The strongest strategy gives each format a role while keeping the subject, expertise and brand position connected.

01 Website guide

Own the detailed explanation, evidence, internal links and next step on a platform you control.

02 Short-form video

Turn one useful part of the subject into an accessible demonstration, answer or viewpoint.

03 Social post

Surface the idea in a format designed for discovery, conversation or first-hand perspective.

04 Long-form video

Explain nuance, comparisons or process in a format that can also gain Google visibility.

05 Case study

Show that the business has real experience applying the subject rather than only discussing it.

06 Commercial page

Give customers who are ready to act a clear route into the relevant product, service or enquiry.

This is one reason copywriting and content strategy should increasingly work across channels rather than treating the blog as the only “SEO content” channel.

It also creates an opportunity to make social content more useful.

Rather than posting because the content calendar says Tuesday needs a post, businesses can create content around genuine questions, customer problems, product detail, expertise and first-hand experience — all things that may also have value in search.

That makes social media less disconnected from search strategy and gives both teams better evidence for what people actually care about.

04 AI search widens the source pool

AI-led search makes your wider digital footprint more important

AI Overviews and AI Mode add another layer to this change.

Google says these experiences can use a process called query fan-out: the system explores several related searches, subtopics and data sources before generating a response and presenting supporting links.

Google is also clear that there is no special “AI SEO” markup required to appear. The existing fundamentals still matter: indexable content, helpful information, strong page experience, clear text, relevant images and video, accurate structured data and up-to-date business information.

That is important because it prevents businesses from chasing another fashionable technical shortcut.

The practical implication is more straightforward: useful, credible information needs to exist in places search systems can understand and customers can trust.

Expert website content Detailed guides, services, products and first-party information.

Video Demonstrations, explanations, reviews and visual expertise.

Social content Public posts, first-hand perspectives and timely commentary.

Business information Profiles, locations, product data and other structured signals.

Search & AI discovery

Google evaluates relevant, eligible information across search systems and can provide supporting links within AI experiences.

Customer research

The user may learn about the brand, compare options, watch content or read supporting material before ever arriving on the main commercial page.

This connects closely with our earlier insight, Your Customers May Find You Before They Ever Visit Your Website.

The customer journey is increasingly being shaped before the website session begins.

That means the content people encounter elsewhere needs to reinforce the same expertise, positioning and proposition they eventually find on the site.

Our AI marketing and SEO work therefore needs to sit alongside brand, content and website strategy rather than becoming a completely separate discipline.

Google’s guidance on AI features

Google says there are no additional technical requirements or special schema needed specifically for AI Overviews or AI Mode. Its advice remains to follow strong SEO fundamentals and create useful, reliable content. See Google’s AI features and your website guidance.

05 Google is connecting brand content

Search profiles make the connected-brand idea even clearer

Google has also introduced Search profiles, which bring together content associated with a creator or publisher from across the web and social platforms.

Google’s current guidance says a Search profile can connect content from a website with channels including Instagram, TikTok, YouTube, X and Facebook.

People can follow that profile on Google, and Google says content linked to the profile may then be more likely to appear for that audience in Discover.

Again, this is not a reason to abandon the website.

It is evidence that search engines increasingly understand a brand, publisher or creator as something that exists across more than one URL.

For businesses, consistency therefore matters.

Names, descriptions, expertise, visual identity, topics and profile information should make sense together rather than presenting five disconnected versions of the organisation.

On the website itself, structured data can also help Google understand identity. Google’s organisation guidance allows businesses to reference external profile pages using sameAs URLs, further connecting the owned site with relevant profiles elsewhere.

Search profiles and brand identity

Read Google’s Search profile guidance and Organisation structured data documentation for current implementation detail.

06 The website still has a unique role

SEO moving beyond the website does not make the website less important

There is an important distinction here.

Social platforms can create discovery. Video can create understanding. Search features can surface an answer. AI can introduce a source.

But the website remains the digital asset the business controls most directly.

You control the structure, the customer journey, the depth of information, the commercial pages, the conversion path, the analytics setup and the relationship between one piece of content and another.

A platform can change its algorithm, format, rules or reach. The website should remain the strongest owned source of truth for the business.

Owned asset

Your website

The place where the business controls the experience from discovery through to conversion.

Detailed service and product information
Case studies, evidence and expertise
Internal linking and site architecture
Conversion journeys and calls to action
First-party analytics and measurement

Platform presence

Social, video & search surfaces

Places where customers can discover, follow, compare and interact with the brand before visiting the site.

Instagram, TikTok and X content
YouTube and other video discovery
Google Search and Discover visibility
Business profiles and local information
AI-led search and supporting links

That is why website design and SEO still need to work together.

The wider digital ecosystem can attract attention and create trust, but the site still needs to turn that interest into something commercially useful.

A business that becomes more visible across Google and social platforms but sends people to a confusing or weak website has improved discovery without improving the outcome.

Visibility and conversion still need to connect.

07 What modern SEO should look like

Build search visibility around the subject, not just the URL

The most useful change businesses can make is to stop thinking about SEO as a list of website tasks.

Instead, start with the customer question or commercial topic.

What is the customer trying to understand? Which part of that question belongs on the website? Would it benefit from video? Is there first-hand material that would work on social? Is there a local or product-data component? Where should the customer go when they are ready to act?

This turns SEO from a page-ranking exercise into a connected visibility strategy.

It also fits the principle behind our Growth Strategy work: channels should have jobs within the wider customer journey rather than operating as isolated activities.

A practical search-visibility review

1 Protect the website fundamentals Keep technical SEO, indexability, internal linking, page quality, structured data and user experience strong. The website remains the foundation.

2 Map where customers search and research Identify whether the audience also uses YouTube, social platforms, local results, product results or AI-led search when making decisions.

3 Connect Search Console platform properties Where relevant, verify Instagram, TikTok, X and YouTube so search visibility from those platforms can be measured rather than guessed.

4 Turn search insight into multi-format content Use genuine search questions to inform articles, social posts, short-form video, long-form video, FAQs and commercial pages.

5 Keep identity consistent Make sure profiles, website content, descriptions, topics and structured information clearly describe the same brand and expertise.

6 Measure the business outcome Search impressions are useful, but they still need to connect to visits, enquiries, sales, customers and commercial growth.

Measurement is particularly important because broader visibility creates more assisted journeys.

A customer may watch a video, later search the brand name, visit directly and then enquire. The platform that introduced the business may not receive the final attribution.

Our Data Analysis work and DB Analytics are designed to look at the wider behaviour rather than treating the last visible touchpoint as the whole story.

For more on that principle, read Knowing What Data Analytics to Track Based on Your Marketing Goals.

08 The opportunity

SEO is becoming a bigger part of brand and content strategy

Search optimisation used to be easy to separate from the rest of marketing.

The SEO team changed website pages. The social team managed social channels. The content team wrote articles. The website team looked after the site.

That separation makes less sense when a social post can generate Google search impressions, a YouTube video can appear in search results, AI search can surface supporting links, and customers can move between all of those environments before converting.

The specialist disciplines still matter.

But the insight needs to travel between them.

Search terms can inform social content. Social engagement can reveal new content themes. Video can strengthen an article. Website behaviour can show which subjects create commercial interest. Customer questions can become the next round of search content.

This is the same wider principle explored in Why More Marketing Activity Doesn’t Always Mean More Growth: the value increases when the channels stop learning in isolation.

The new search landscape

Your website is still the foundation. But your search presence is now much bigger than your website.

Strong modern SEO connects technical performance, useful website content, social discovery, video, brand identity, AI search visibility and commercial measurement around the same customer questions.

At Dancing Badger, that means treating SEO as part of a wider growth system.

We still care deeply about rankings, technical quality and website performance.

But we also need to understand how people are discovering the brand before they reach the site, what content is shaping that decision and which search surfaces are creating useful visibility.

The question is no longer simply, “Where does our website rank?”

It is, “When our customers look for answers, where does our brand appear — and what do they find when it does?”

Service SEO

Technical, content and search strategy designed around relevant visibility and commercial outcomes.

Service Social Media

Content and channel strategy that builds discovery, engagement and useful audience insight.

Partner Google

Search, advertising and analytics tools used to understand demand, visibility and customer behaviour.

Partner Meta

Instagram and Facebook form part of the wider social discovery and content ecosystem.

Is your SEO strategy still focused only on your website?

We can review how your brand is being discovered across Google, social, video, AI-led search and your own website — then identify the content, technical and measurement opportunities most likely to improve meaningful visibility.

SEO Social Media Copywriting AI Marketing Growth Strategy Data Analysis DB Analytics Website Design Google Meta

Overview

Mackintosh is one of the world’s most recognisable luxury outerwear brands, known for its handmade raincoats, rubberised coats and enduring commitment to traditional craftsmanship.

Operating in a highly competitive global luxury fashion market, Mackintosh required a marketing strategy that could support international growth while protecting the integrity of the brand. The challenge was not simply to increase traffic, but to attract the right traffic, in the right regions, at the right time of year.

Dancing Badger worked with Mackintosh across Growth Strategy, SEO, PPC, Data Analysis and Insights. The focus was on using deeper commercial insight to understand keyword demand, competitor positioning, seasonality and product performance across key markets.

Within the first full financial year, this data-led approach helped deliver strong international growth, including an 80% increase in the EU and a 45% increase in the US. Search traffic also grew by 32%, with a clear shift away from a heavy reliance on branded search traffic towards a broader mix of unbranded luxury outerwear searches.

+123%

growth in unbranded keyword visibility

A 123% increase in unbranded keyword visibility helped Mackintosh reach more new customers through organic search, driving stronger non-brand traffic and supporting overall sales growth within the luxury sector.

View the Mackintosh project

The Client

Mackintosh is a luxury outerwear brand with a heritage rooted in traditional coat making. The brand is internationally known for its rubberised coats, raincoats and weatherproof outerwear, combining timeless design with specialist craftsmanship.

With a premium product range and a strong international customer base, Mackintosh operates in a market where brand trust, product relevance, seasonality and regional demand all play an important role in performance.

For a brand with such established recognition, the opportunity was not only to capture existing brand demand, but to build stronger visibility across broader luxury outerwear searches.

The Challenge

When Dancing Badger began working with Mackintosh, a significant proportion of organic search traffic was dependent on brand-specific searches. Approximately 97% of search traffic was coming from users already searching for Mackintosh by name or using brand-related terms.

While this showed strong brand awareness, it also highlighted a clear opportunity. Mackintosh had the authority, product quality and heritage to compete more strongly across unbranded search terms such as luxury coats, luxury raincoats, rubberised coats and premium outerwear.

The challenge was to build a strategy that could:

Increase international sales performance
Grow visibility in the EU and US markets
Reduce reliance on brand-only search traffic
Identify high-value unbranded keyword opportunities
Understand regional product demand
Align marketing activity with seasonality
Improve paid media efficiency and ROAS
Ensure the right products were being marketed in the right regions
Maximise revenue return from SEO and PPC activity

This required a joined-up approach across data, SEO, PPC and commercial planning.

Our Role

Dancing Badger supported Mackintosh with a strategy built around insight, market understanding and measurable performance.

SEO Consultancy

SEO consultancy played a central role in identifying new areas of organic growth.

Rather than focusing only on brand terms, Dancing Badger carried out detailed keyword and competitor analysis to understand where Mackintosh could increase visibility across unbranded luxury outerwear searches.

This included reviewing search demand around luxury coats, raincoats, waterproof outerwear and seasonal product categories. By identifying where customers were searching without using the Mackintosh name, we were able to highlight opportunities to reach new audiences earlier in the buying journey.

The SEO strategy focused on improving visibility for commercially relevant, unbranded search terms while still protecting strong performance across branded search.

This had a direct impact on the balance of organic search traffic. Previously, 97% of search traffic relied on brand-specific mentions. After the first year, this has now reduced to 78%, meaning unbranded search now makes up a much stronger share of overall search visibility.

At the same time, total search traffic increased by 32%, demonstrating that Mackintosh was not simply replacing one type of traffic with another. The brand was growing its overall search presence while becoming less dependent on existing brand awareness.

PPC: Google Ads

Paid search activity was focused on improving return and ensuring budget was allocated to the regions, products and campaigns most likely to deliver commercial value.

For a luxury outerwear brand, PPC performance depends heavily on intent, seasonality and product relevance. A waterproof coat or raincoat may perform differently across regions depending on climate, time of year, customer behaviour and competitive demand.

Dancing Badger used data analysis to ensure that paid media activity was aligned with market opportunity. This meant reviewing which products should be promoted in which regions, when demand was likely to increase, and where spend could produce the strongest sales return.

This more focused approach helped improve ROAS on PPC spend, with performance outperforming original targets.

Growth Strategy

The wider growth strategy was built around international performance.

Mackintosh had clear opportunities across both the EU and US markets, but each region required its own understanding of search behaviour, product demand and seasonality.

The strategy looked beyond campaign management and focused on how marketing activity could support wider commercial growth. This included analysing market demand, identifying product priorities, reviewing competitor visibility and understanding where Mackintosh could increase share across high-value search categories.

Within the first full financial year, this approach helped deliver 80% growth in the EU and 45% growth in the US.

Data Analysis & Insights

Data was central to the strategy.

Dancing Badger used detailed analysis to understand how customers were finding Mackintosh, which markets were showing the strongest growth potential, which keywords were driving visibility, and where competitors were gaining traction.

This included:

Keyword performance analysis
Competitor research
Search traffic analysis
Branded vs unbranded traffic review
Regional performance analysis
Product-level insight
Seasonality planning
PPC return analysis
Market demand review
Commercial opportunity mapping

This level of insight allowed the marketing strategy to be more precise. Instead of applying the same approach across every market, activity could be tailored based on where demand existed and where Mackintosh had the greatest opportunity to increase sales.

The Approach

The continued success of the project came from connecting SEO, PPC and data analysis through a shared commercial strategy.

For Mackintosh, growth was not about increasing traffic at any cost. It was about attracting the right customers and ensuring that marketing investment supported profitable sales growth.

The approach focused on understanding what people were searching for, where they were searching from, which products were most relevant to each market and how seasonal demand affected buying behaviour.

This insight allowed activity to be planned more intelligently. SEO recommendations were shaped by real keyword opportunity and competitor analysis. PPC campaigns were reviewed against sales return and regional demand. Product focus was aligned with the markets most likely to convert.

By bringing these elements together, Dancing Badger helped Mackintosh move from a heavily brand-led search position towards a broader international growth strategy.

Results

Within the first full financial year, Mackintosh achieved strong growth across key international markets.

Key Outcomes

80% growth in the EU
45% growth in the US
32% uplift in overall search traffic
Brand-specific reliance reduced from 97% of search traffic to 78%
Unbranded search visibility increased significantly
Stronger visibility across luxury coats and raincoats
PPC ROAS improved and outperformed original targets
Product marketing became more closely aligned with regional demand
Seasonality was used more effectively to support sales planning
Data insight directly informed SEO, PPC and growth strategy

Growing International Sales

One of the most important outcomes was the level of growth achieved across international markets.

The EU saw growth of 80% within the first full financial year, while the US achieved growth of 45%. These results were supported by a more detailed understanding of regional demand and a clearer focus on which products should be marketed in each region.

Rather than treating international activity as one broad campaign, the strategy focused on market-specific opportunity. This allowed Mackintosh to improve performance in priority regions while maintaining a premium, brand-led approach.

Reducing Reliance on Brand Search

A key SEO success was reducing reliance on brand-specific search traffic.

Before the strategy was implemented, 97% of search traffic was linked to brand-specific mentions. This meant Mackintosh was capturing demand from users who already knew the brand, but had less visibility among customers searching more generally for luxury coats, raincoats and premium outerwear.

Through SEO consultancy, keyword research and competitor analysis, Dancing Badger identified opportunities to grow unbranded visibility.

Brand-led search traffic now accounts for 78% of search traffic, creating a healthier balance between existing brand demand and new customer discovery. At the same time, overall search traffic has increased by 32%, showing that this shift has contributed to wider organic growth.

Improving Paid Media Return

PPC activity also delivered stronger performance.

By reviewing spend against product demand, regional performance and seasonal trends, Dancing Badger was able to help improve ROAS on PPC spend. Campaigns were shaped around commercial opportunity rather than generic traffic growth.

This ensured that paid activity was focused on the products and regions most likely to generate a strong return, helping Mackintosh outperform original ROAS targets.

A Data-Led Partnership

The Mackintosh project demonstrates the value of combining data insight with specialist digital marketing expertise.

For a luxury brand, marketing performance depends on more than visibility alone. It requires an understanding of the customer journey, product desirability, seasonality, competitor activity and regional buying behaviour.

Dancing Badger’s role was to bring these insights together and turn them into a clear marketing strategy. This allowed Mackintosh to make more informed decisions about SEO, PPC and international growth.

Conclusion

Mackintosh is a strong example of how a heritage luxury brand can use data-led marketing to support international growth.

By combining SEO consultancy, PPC strategy, competitor analysis, seasonality planning and regional product insight, Dancing Badger helped Mackintosh achieve significant growth within the first full financial year.

The results included 80% growth in the EU, 45% growth in the US, a 32% uplift in overall search traffic and a clear reduction in reliance on brand-specific search traffic.

Most importantly, the strategy helped Mackintosh reach more customers searching for luxury coats, raincoats and premium outerwear without compromising the brand’s heritage positioning.

Through a focused, data-led approach, Dancing Badger helped turn search visibility and paid media investment into measurable international sales growth.

Artificial intelligence has quickly become a valuable tool for content creation, but many businesses are understandably cautious about how it should be used for SEO. The key question is whether using AI to write blog content can affect your Google rankings.

The answer depends far less on whether AI was involved and far more on the quality, purpose and usefulness of the finished content.

Google’s guidance does not say that AI-generated content is automatically unacceptable. Generative AI can be useful for research, organising information, developing structure and supporting the creative process. The risk appears when automation is used primarily to manufacture large quantities of unoriginal content designed to capture search visibility rather than genuinely help the people who land on the website.

In practical terms, AI should be treated as a production tool, not a substitute for expertise. It can help a good content team work faster, but it cannot remove the need for research, editorial judgement, factual accuracy, original insight and a clear understanding of the audience.

Google is not simply asking whether AI wrote the words. The more important question is whether the finished page deserves to exist for the person reading it.

Core principle Use AI to support research, structure and production. Use human knowledge to decide what is accurate, original, relevant and genuinely useful enough to publish.

01 What Google actually says

AI content itself is not the problem

There is a persistent misconception that Google automatically penalises content as soon as it detects that AI may have played a role in producing it. That is not an accurate description of Google’s published guidance.

Google’s concern is with content created primarily to manipulate search rankings, particularly when that activity produces large quantities of pages that add little or no value for users. Its spam policies describe this as scaled content abuse.

Importantly, the policy is not limited to AI. Low-value pages can be problematic whether they are written automatically, manually or through a mixture of the two. The underlying issue is the purpose and result: large-scale, unoriginal content designed to exploit Search rather than satisfy users.

This distinction matters because responsible use of AI can look completely different. A subject specialist might use AI to organise an article outline, identify questions worth answering, summarise their own notes or improve the readability of a draft. The finished article can still contain original expertise, accurate information and genuinely useful advice.

That is much closer to the role AI should play within a strong content and copywriting workflow.

The problem is not automation itself. The problem is using automation to create content at scale without adding enough value for the people who find it.

02 Where AI fits best

Use AI as part of the content process, not as the entire process

The safest and most productive way to use AI for blog writing is to give it a defined role within a wider editorial workflow.

AI can help with topic research, article structures, headline ideas, FAQs, draft outlines, summaries and editing. It can help a specialist turn rough technical notes into a clearer structure, identify areas where an explanation needs more context or create alternative ways to present an idea.

It can also remove some of the repetitive work that slows content production down. An expert does not necessarily need to spend their time creating ten versions of a heading or manually reorganising several pages of notes if a tool can help with that work quickly.

But the finished article should still be shaped, checked and improved by someone who understands the business, its customers and the subject being discussed. AI can generate plausible language very effectively. Plausible language and accurate expertise are not the same thing.

1 Expert brief

Define the audience, problem, search intent, business context and the genuine expertise available to answer it.

2 AI-assisted research

Use AI to organise ideas, identify useful questions, explore structure and accelerate early-stage research.

3 Draft and develop

Create the working article, combining efficient drafting with original knowledge, examples and first-hand insight.

4 Human review

Fact-check, challenge claims, improve tone, remove generic material and add the expertise AI could not supply.

5 Optimise and measure

Add sensible SEO, publish, monitor performance and improve the content as customer needs or information change.

The workflow becomes risky when the human steps disappear and the process becomes little more than keyword list → automated article → publish.

03 Create people-first content

Start with the customer’s question, not the keyword volume

The most important principle is to create people-first content. A useful blog article should answer real questions, solve problems, explain complicated subjects or provide insight that helps somebody make a better decision.

Search demand can absolutely help identify useful subjects. Keyword research remains an important part of SEO. The distinction is what happens next.

A keyword should reveal a customer need, not become the entire reason a page exists. If somebody searches “how often should I service my boiler”, the useful question is not how many times that exact phrase can appear on the page. The useful question is what somebody needs to understand before deciding when to arrange a service.

The best articles therefore combine search insight with subject knowledge. They answer the obvious question, anticipate useful follow-up questions and give the reader enough context to act.

Google’s people-first guidance encourages publishers to ask whether their content would still be valuable to the intended audience if those visitors came directly to the website rather than finding it through Search. That is a useful test for AI-assisted content too.

Good use

Assist the expert

Use AI to reduce production friction while retaining human knowledge and editorial control.

Building article structures
Organising specialist notes
Developing FAQs and subtopics
Improving clarity and readability
Creating alternative headlines

Review carefully

Generate working drafts

AI can accelerate first drafts, but the output should be considered raw material rather than publication-ready content.

Long-form first drafts
Technical explanations
Product comparisons
Statistics and factual claims
Health, finance or legal topics

Higher risk

Publish at scale

Large-scale automation becomes dangerous when pages are primarily created to capture variations of search demand.

Hundreds of near-identical blogs
Thin keyword-variation pages
Automated location-page networks
Unreviewed factual content
Copied or recombined source material

04 Avoid scaled content abuse

Original experience is what turns generic information into useful content

One of the clearest weaknesses of poorly used AI is that it tends to reproduce broadly available information in broadly familiar language. The output can sound competent while saying very little that is genuinely distinctive.

That is why the strongest AI-assisted content usually combines technology with human expertise.

A business might use AI to create the first structure of an article and then add real customer questions, project experience, product knowledge, proprietary data, opinions, examples and practical advice. A specialist may challenge part of the generated draft because their experience shows that the usual answer is misleading in a particular situation.

Those additions are important because they turn commodity information into something that reflects the actual organisation publishing it.

It also creates a stronger reason for somebody to choose your page over another result. If ten articles repeat the same definitions and advice, the eleventh article needs more than different wording. It needs additional value.

Generic AI article

Repeats common information The article summarises material that already exists widely across the web.

Uses vague examples Scenarios sound plausible but are not connected to the business’s actual experience.

Avoids difficult judgement Every recommendation is broad enough to sound correct without committing to useful practical advice.

Feels interchangeable Another company could publish almost the same article without changing its substance.

Expert-led AI article

Adds first-hand experience Real projects, client questions and practical examples show how the issue works outside theory.

Includes original knowledge Specialists add observations, data, limitations and judgement that generic sources cannot provide.

Explains nuance The article identifies where common advice does and does not apply instead of presenting everything as universal.

Reflects the real brand The finished content sounds like the organisation because its people have actually contributed to it.

06 Human review is essential

Fluent writing can still be wrong

Human review is essential because AI can make mistakes, invent facts, misinterpret context or produce generic claims that sound more authoritative than the underlying evidence supports.

Every AI-assisted article should therefore be fact-checked, edited and refined before publication.

The level of review should reflect the consequences of getting the information wrong. An inaccurate sentence about decorating ideas is unlikely to have the same impact as inaccurate advice about healthcare, legal obligations, finance, safety or another subject that could materially affect somebody’s wellbeing or decision-making.

This does not mean AI cannot contribute to specialist content. It means the specialist has to remain responsible for the final answer.

Review should also go further than simple factual checking. Editors should ask whether the article adds anything worthwhile, whether the examples make sense, whether the recommendations are too generic and whether the language accurately reflects what the business would actually advise a customer.

Check 1 Accuracy

Verify facts, statistics, product details, dates, claims, quotations and any information that could have changed.

Check 2 Expertise

Ask whether a knowledgeable person agrees with the advice and whether important nuance or limitations are missing.

Check 3 Original value

Add examples, evidence, experience, commentary or insight that makes the article more than a generic summary.

Check 4 User value

Read it as the customer. Does it answer the question clearly and leave them better informed than when they arrived?

07 Authorship and transparency

Be clear about who is responsible for the content

Businesses should also think carefully about authorship. Where a reader would reasonably expect to know who created or reviewed an article, the website should provide accurate information.

That might mean displaying the author’s name, job role, relevant expertise or an expert reviewer. What matters is that the attribution is genuine.

Creating fictional expert profiles simply to make automated content appear more authoritative undermines the trust the website is trying to build. An author biography should help a visitor understand why the person behind the article has something useful to contribute.

Google also suggests thinking about whether the use of automation or AI would reasonably be something a reader might ask about. In those circumstances, explaining how or why AI was used can improve transparency.

That does not mean every article needs a large banner announcing every tool involved in the editorial process. The useful principle is transparency where the production method is relevant to the reader’s trust or understanding.

08 Do not forget SEO fundamentals

Helpful content still needs to be discoverable and understandable

AI should not replace good SEO fundamentals either. Useful blog content still benefits from clear headings, descriptive titles, sensible metadata, relevant terminology, strong internal linking and a logical page structure.

Search optimisation helps Google understand what the page is about and helps users navigate the information more effectively. The problem begins when optimisation starts to override the content itself.

Keyword stuffing does not make weak writing useful. Repeating the target phrase in every heading does not create additional expertise. Producing thin articles around every imaginable long-tail variation is not automatically a stronger content strategy.

Instead, SEO should support the reader. Headings should help somebody scan the article. Internal links should take them to genuinely relevant information. Metadata should accurately explain what they will find on the page.

This is particularly important as Search itself becomes more AI-driven. Google’s newer guidance for its generative AI experiences continues to point back to established SEO principles rather than requiring businesses to create a completely separate type of “AI Search content”.

Useful, original information, clear site structure and strong technical foundations remain relevant whether somebody discovers the page through a traditional search result or a newer generative Search experience.

Purpose People first

The article should exist because the intended audience has a real question or need, not simply because a keyword has search volume.

Value Original contribution

Add real expertise, examples, research, opinion or evidence that gives readers something beyond generic information.

Trust Accurate and accountable

Check important claims, make authorship meaningful and ensure somebody knowledgeable is responsible for the finished article.

SEO Easy to discover

Use clear structure, relevant terminology, internal links and metadata to help people and search engines understand the page.

09 Measure whether it works

Publishing is not the end of the content process

A strong AI-assisted content strategy should also measure what happens after publication.

Search Console can show whether an article gains impressions, rankings and clicks. Your own analytics can show what those visitors do afterwards. Do they read other relevant pages? Do they visit a service page? Do they enquire? Does the article attract the type of audience the business actually wants?

That distinction matters because high organic traffic is not automatically valuable traffic. AI makes it easier than ever to publish articles around high-volume topics that have very little connection to the commercial purpose of the website.

Content performance should therefore be assessed in context. Some articles are valuable because they generate direct enquiries. Others support topical authority, attract relevant links, assist customers during research or introduce new audiences to the brand.

Tools such as DB Analytics can help connect the content journey to wider website behaviour rather than treating article page views as the final measure of success.

Before publishing an AI-assisted article, ask these ten questions.

Does this article answer a real question our audience has?

Would we publish it even if the keyword had no reported search volume?

Has every important factual claim been checked?

Has somebody with relevant subject knowledge reviewed it?

Does it contain original insight, experience or useful examples?

Is there anything generic that could be removed without losing value?

Does the author or reviewer information accurately reflect who contributed?

Are headings, metadata and internal links helpful rather than forced?

Does the article add something worthwhile compared with existing search results?

Will the reader leave the page better informed than when they arrived?

10 The practical approach

Use AI to increase the value of your experts, not to remove them

Ultimately, Google’s guidance is not simply anti-AI. It is anti-low-value content and anti-manipulation.

Used properly, AI can help businesses produce clearer, more consistent and more useful blog content. It can speed up research, remove blank-page friction, help structure complex knowledge and make editorial teams more productive.

Used poorly, the same technology can make it extremely easy to fill a website with generic pages that provide no convincing reason to rank, earn trust or convert a visitor.

The difference comes down to how the organisation uses the tool.

AI should assist rather than replace human knowledge. Start with the audience and the real question they need answered. Add the experience and expertise the business genuinely has. Check the accuracy. Improve the structure. Then use SEO to make that useful information easier to discover.

That approach is not only safer for organic visibility. It normally results in better content for customers too.

The safest AI content strategy

Let AI make good experts faster. Do not use it to pretend expertise exists where it does not.

The businesses most likely to benefit from AI content are not the ones publishing the greatest number of pages. They are the ones using the technology to turn genuine knowledge into clearer, more useful and more discoverable information without surrendering editorial judgement.

Google guidance and further reading

Google’s own documentation provides useful context for anyone building an AI-assisted content process. Its guidance focuses on the purpose and quality of the finished content rather than treating AI use itself as an automatic problem.

Google: Using generative AI content ↗ Google: Spam policies and scaled content abuse ↗ Google: People-first content guidance ↗ Google: Optimising for generative AI in Search ↗

The project starts before anybody starts designing

There is a process. But it isn’t a production line.

A brief tells us where to start — not necessarily where to finish

Research is how we reduce expensive guesswork

The right specialists need to be involved before their ‘stage’ begins

Good digital work is rarely the product of one discipline.

Business context

Evidence

Experience

Language

Delivery

What happens next

Design is where strategy starts becoming visible

Development is not where the thinking stops

Content, SEO and tracking are not jobs we want to discover at the end

Testing is where we deliberately look for problems

Ready to launch means more than “the page loads”.

Then comes the part everybody sees: launch

Launch gives us something planning never can: real behaviour.

Good project management is partly about keeping all of that connected

The process matters, but so does knowing when to adapt it

What clients see is the outcome. Our job is everything behind it.

The finished project might look simple. Getting to the right kind of simple usually takes a lot of thinking.

The further a task moves towards judgement, the more the human matters.

Organise

Research

Analyse

Create

Interpret

Decide

We started with the work that takes time

Research can become faster without becoming automatic

AI can accelerate the journey. It shouldn’t remove the checkpoints.

AI can help us interrogate data more quickly

Content is one of the easiest places to use AI — and one of the easiest places to get it wrong

Different disciplines use AI differently.

Research & strategy

Data & performance

Content & marketing

Development & technical work

Development is becoming AI-assisted too

Strategy is where human judgement becomes more important

Better tools make good judgement more valuable, not less.

Context

Judgement

Creativity

Accountability

We don’t assume that an AI answer is the right answer

Generated quickly. Checked properly.

AI is changing what valuable agency time looks like

AI is becoming part of the workflow, rather than a separate activity

So what does that mean for our clients?

The more capable the technology becomes, the more important it is to know when to trust it, when to challenge it and when not to use it at all.

Key Results

+24.7%

Increase in Organic Search Traffic

+66.6%

Increase in AI Discovery Traffic

+25%

Increase in Searches for “The Great Barn Exeter”

121

Wedding-Enquiry Actions Generated Through Google Ads

The Client

The Challenge

Our Role

Website Development & Technical Delivery

SEO Consultancy

Google Ads Setup

Strategic Consultancy

The Approach

Results

Key Outcomes

Improving Visibility for Wedding Venue Searches

Supporting, Not Replacing, Internal Teams

Conclusion

Key Results

+321%

Increase in Direct Traffic

+78%

Increase in Organic Search Conversions