GEO and Web Design: What is Generative Engine Optimisation?
From the Journal – Posted 24.03.2026
If you work in marketing or the digital world, you will, by now, be familiar with a new acronym that has been showing up pretty much everywhere.
GEO, or Generative Engine Optimisation, is all the rage on LinkedIn, the subject of hundreds of webinars, and has forced SEO and PR agencies across the land to launch new services and rethink their pitch decks.
Russ Back, Development Director"In our experience, a lot of web design and development agencies aren't up to date with modern build standards with respect to GEO. And, the thing is, it's not all that difficult. In fact, nailing the basics of structure and architecture gets you most of the way there, but you need to be consistent and thorough in their application."
A lot has been written about GEO in recent months, much of it focused on content strategy and/or whether SEO is dead (it isn’t). And all this matters.
But a significant portion of what makes your website or brand citable by AI platforms is technical; things like schema markup, site architecture, crawlability, and page structure. In other words, web design and development.
So, we wanted to give you our perspective. That is, the perspective of a web design and development agency. What is GEO? How is it different from SEO? Is it different from SEO? And why should your web agency know more about it than they do?
What is Generative Engine Optimisation (GEO)?
Generative Engine Optimisation (GEO) is the process of optimising your content, website, and earned media so that AI platforms and tools like ChatGPT, Google AI Overviews, Claude, and Gemini cite or recommend you in the answers they give to users.
If the objective of traditional SEO is to rank as high up Google’s search engine results pages (SERPs) as possible for particular keywords, GEO is about doing the same in AI answers.
As an example, if someone were to ask ChatGPT to recommend a Craft CMS agency based in Bath, it won’t just produce a list of links like Google would. Instead, it synthesises information from many places and responds conversationally, attributing the information it presents to a number of sources (citations).
GEO is about making sure you’re included in the answer, or cited as a source for the response it gives, depending on the question and your business.
💡 Further reading: How to Optimise Your Website for AI Search
GEO vs SEO: What's the Difference?
In reality, there’s a lot of crossover between SEO and GEO. In fact, some argue that they are essentially the same thing and that best practice SEO in 2026 IS GEO. That’s a simplification, and they are different, but how?
Traditional SEO optimises for ranking positions in a list of links. The objective is to get as close to the top of that list as possible. And you’re competing for clicks.
GEO optimises for inclusion in AI-generated answers, where typically only a small number of sources get mentioned in a single response.
But GEO doesn't replace SEO. It’s additive. AI platforms frequently pull from indexed web content, so crawlability, content quality, and authority signals from traditional search remain the foundation.
It’s certainly true that if your SEO fundamentals are weak, then your GEO fundamentals will be too. Therefore, the overlap is significant. Producing well-structured, authoritative content that answers real questions is good SEO practice and good GEO practice.
The difference lies in emphasis. GEO places more weight on content that's easy for AI to extract and reassemble: clear definitions, structured data, direct answers, and strong entity signals.
In practical terms, content that ranks well on Google is frequently used by LLMs, but not always in the ways you'd expect.
A blog post that ranks #1 for a keyword might not be the source an AI cites if a lower-ranking page provides a clearer, more direct answer to the specific question being asked.
Here's a quick comparison of the key differences:
| Traditional SEO | GEO | |
|---|---|---|
| Primary goal | Rank in top search positions | Be cited or referenced in AI-generated answers |
| Success metrics | Rankings, clicks, organic traffic | Citations, mentions, share of voice |
| How users find you | Click through from a list of results | AI includes you in a synthesised response |
| Key platforms | Google, Bing | Google AI Overviews, ChatGPT, Perplexity, Claude |
| Content optimisation | Title tags, keywords, meta descriptions, content quality | Self-contained answers, clear definitions, structured data |
| Building credibility | Backlinks, domain authority, reviews | Mentions across trusted platforms, entity signals, schema markup |
| Role of web design | Site speed, mobile-friendliness, crawlability | All of the above, plus semantic structure, AI crawler access, and content extractability |
💡 Further reading: Web Design & SEO: Building a Website that Ranks in 2026
How Does GEO Work?
Understanding GEO starts with understanding how AI search engines process a query. And it's fundamentally different from how Google's traditional search works.
When you type a question into ChatGPT or Perplexity, here's roughly what happens:
Query Fan-Out
The AI doesn't paste your full question into a single search. It breaks it down into smaller sub-queries and searches for each one independently. This is called query fan-out.
A question like "What's the best CMS for a mid-sized ecommerce brand with plans to expand internationally?" might become three or four separate searches targeting CMS comparisons, ecommerce features, and multi-language support.
Source Retrieval & Evaluation
The AI retrieves content from multiple sources across the web and evaluates each one for relevance, authority, recency, and structural clarity.
This is where traditional SEO foundations matter; if your content isn't indexed and ranking, AI platforms are less likely to find it in the first place.
Synthesis & Citation
Rather than presenting a list of links, the AI synthesises information into a single, cohesive response. It pulls facts, definitions, and recommendations from the sources it considers most credible and cites them inline.
Your content doesn't need to be the top-ranking result. It needs to be clear, authoritative, and structured in a way that's easy for your AI of choice to extract and reference.
The key takeaway: GEO isn't about gaming AI models. It's about producing content that machines can confidently understand, trust, and cite.
Why does GEO matter in 2026?
It will come as no surprise that AI search isn’t something for the future. It’s here now.
ChatGPT now reaches over 900 million weekly active users. Google's AI Overviews are appearing across an increasingly significant share of search queries.
In fact, estimates vary from around 20% to over 50%, depending on the study and query type, with informational and long-tail searches triggering AI summaries far more frequently than navigational or local ones.
And zero-click searches - where the user gets what they need without ever visiting a website - continue to rise, with SparkToro's research suggesting 58.5% of Google searches in the US now end without a click.
This represents a fundamental change in how people discover information and make decisions. Your website isn't just competing for rankings; it's competing to be the source that AI platforms trust enough to quote.
How do you optimise for GEO?
As you’ve probably gathered, GEO isn’t an entirely separate discipline from SEO.
You don’t need to throw out what you’re doing already, but you may need to augment things a little. Think of it as an additional layer that rewards clarity, structure and real substance.
Here's what good GEO looks like in practice.
Content Structure
AI systems favour content that's easy to extract and reassemble. And, luckily, so do your users. That means:
- Leading each section with a direct answer before providing supporting context
- Using H2 and H3 headings that mirror the questions your audience is actually asking
- Writing clear, concise definitions that an AI could lift and cite with confidence
- Avoiding burying answers where they’re less likely to be found
Authority & Trust Signals
AI platforms evaluate source credibility when deciding what to cite. Authority and trust signals have been important for years, but they are now absolutely essential.
- Implement schema markup - particularly Article, Author, Organisation, and FAQ types - to give AI systems structured context about you and your content
- Build out author profiles with clear expertise signals, aligning with Google's E-E-A-T framework
- Include original data, statistics, and expert commentary where possible; AI is more likely to cite content that offers something unseen elsewhere
Technical Foundations
This one's straightforward but criminally overlooked. Your content needs to be accessible to AI crawlers in the first place. If it isn’t, you’ve got a big problem.
- Check your robots.txt. Many sites inadvertently block AI crawlers. Cloudflare recently introduced options to block AI bots, so check your settings
- Ensure important content is server-side rendered, not hidden behind JavaScript that crawlers can't execute
Don't lock valuable content behind logins or paywalls if you want it cited - Consider implementing an llms.txt file to help AI systems understand your site structure
Content Freshness
Recency can influence retrieval-based answers. A guide published in 2024 with no updates is immediately on the back foot compared to a 2026 article on the same topic.
Keep your cornerstone content updated with fresh data, new insights, and a clear "last updated" timestamp.
How GEO Connects to Web Design, Development & UX
As we’ve touched on, a significant portion of what makes content citable by AI systems is determined by technical and design decisions made during web design and development.
Russ Back, Development Director"It's funny - a lot of what makes a website good for GEO is exactly what makes it good for users. Clear structure, fast load times, and content you can actually find. The technology has changed, but the fundamentals haven't."
The Venn diagram between good UX and good GEO is almost a circle. The things that make a website easy for humans to use are, broadly speaking, the same things that make it easy for AI systems to read, trust, and cite.
Structure & Navigation
A well-structured website with logical URL hierarchies, clean internal linking, and clear content grouping makes it easier for users to find what they need.
It also makes it easier for AI crawlers to understand the relationship between your pages and the topics you cover. When your navigation is intuitive, and your information architecture is logical, both humans and machines can map your expertise far more effectively.
Readable, scannable content structure matters for the same reason. Clear headings, short paragraphs, and a logical flow aren't just UX best practices; they're what make your content extractable by AI systems.
Think of it like this: if a user can quickly find the answer to their question on your page, AI can too.
Schema & Structured Data
Schema markup helps search engines and AI systems understand the context of your content: who wrote it, what it covers, and how it relates to your business.
That's a development task, not a content one. Implementing Article, Author, Organisation, and FAQ schema gives AI platforms the structured signals they need to cite you with confidence.
If you’re unsure how good or thorough your schema markup implementation is, give the free Detailed SEO Extension for Chrome a try. It’s invaluable.
Performance & Crawlability
Page speed and crawlability directly affect whether AI platforms can efficiently access and process your content.
Server-side rendering, clean HTML, and sensible use of JavaScript all play a role. These are also, of course, core UX concerns; slow pages frustrate users and AI crawlers alike.
Mobile-first design matters here, too. AI platforms evaluate the same content that Google's mobile-first indexing does.
If your mobile experience is compromised - hidden content, poor layout, slow rendering - you're potentially invisible to both your users and the AI systems assessing your content.
Accessibility
Many of the principles behind accessible web design - semantic HTML, clear heading structures, descriptive alt text - also make your content more legible to AI systems.
Good accessibility is good for everyone. Your users don’t need to have a disability to enjoy easier browsing experiences. AI find accessible content easier to parse and cite.
Trust & Professionalism
This one's underappreciated. The visual trust signals that come from good UX - professional design, clear contact information, transparent authorship, consistent branding - feed into the same E-E-A-T signals that AI systems evaluate.
A well-designed website tells both users and machines that there's a credible organisation behind the content.
The point is that GEO isn't purely a content marketing exercise. It sits at the intersection of content, SEO, UX, and web development. If your website's foundations aren't solid, no amount of content optimisation will make up for it.
💡 Further reading: Is Schema Still Important for SEO in 2026?
How do you measure GEO performance?
Interestingly, measurement is currently one of the more difficult aspects of GEO.
At the end of the day, it’s a new discipline. SEO, on the other hand, has mature and well-understood metrics: rankings, organic traffic, click-through rates, conversions.
GEO measurement is catching up, but it's not there yet. That said, it’s not a complete black box, and there are things you can track today:
AI referral traffic. GA4 can identify visits from AI platforms. You won't get the same granularity as organic search data, but you can see whether ChatGPT, Perplexity, or other AI tools are sending traffic your way.
Manual citation audits. Search for your brand, products, or key topics across AI platforms and see whether you're being cited. It's manual and time-consuming, but it gives you a direct view of your AI visibility.
Share of voice tools. Several platforms (Semrush, Geoptie, and others) now offer AI visibility tracking that monitors how often your brand appears in AI-generated answers relative to competitors. These tools are evolving rapidly.
The reality, though, is that GEO is new. It will mature significantly and quickly. But for now, the best approach you can take is to combine the tools available with a healthy dose of manual checking, while continuing to invest in the fundamentals that drive performance.
Conclusion
One thing’s for sure: GEO isn’t a fad. It also isn’t a replacement for SEO. And SEO isn’t dead. But GEO also doesn’t require a new playbook, just a few more chapters.
Generative Engine Optimisation is an additional layer that rewards the things good web design and content strategy should already prioritise: clarity, structure, authority, and substance.
The difference is that these qualities are now being evaluated not just by search engine algorithms, but by AI systems that read, synthesise, and cite your content in ways that directly influence how your audience discovers you.
That’s why GEO is as much of a web design and development concern as it is a content marketing concern. The technical foundations of your website - how it's built, how it's structured, how accessible it is - directly shape whether AI platforms can confidently cite you.
If you want somewhere to start, take a look at the foundations: your schema markup, your content structure, your technical accessibility, and whether AI crawlers can actually reach your most important pages. The fundamentals matter more than ever.