Search used to work like this: someone types a question, Google returns ten blue links, they pick one and visit your site. That model isn’t broken — but it now has a significant competitor.
More and more, people are typing questions into ChatGPT, Perplexity, or Google’s AI Overviews and getting an answer directly. No list of links. No clicking through. Just an answer, often with a source cited at the bottom.
If your site is one of those sources, that’s valuable. If it isn’t, you’re invisible to a growing share of your audience — even if you rank well in traditional search.
This is what Generative Engine Optimisation is about.
What GEO actually means
Generative Engine Optimisation (GEO) is the practice of structuring your website so that AI-powered tools can accurately understand, trust, and cite it.
Traditional SEO optimises for ranking in a list. GEO optimises for being selected as a source in an answer.
The distinction matters because the signals are different. Google’s ranking algorithm weighs hundreds of factors centred on relevance, authority, and experience. AI models deciding what to cite are looking for something more specific: clarity, credibility, and consistency. They want to know exactly who you are, what you do, and whether your content can be trusted to represent a topic accurately.
Why this is happening now
AI search tools aren’t a trend that peaked and passed. They’ve accelerated.
ChatGPT passed 400 million weekly active users in early 2025. Perplexity is growing fast as a default search replacement for a specific type of user — typically the kind of professional, research-oriented, high-value prospect that B2B businesses most want to reach. Google’s AI Overviews now appear at the top of many search results pages, answering the question before a single organic result is shown.
The compounding effect is real: as more people use AI tools for research, the sites that get cited build brand authority in those conversations. The sites that don’t become progressively less visible — not because they’ve done anything wrong, but because they haven’t adapted.
For agencies and their clients, this matters particularly in consideration-stage research. When a marketing director asks ChatGPT “what should I look for in a WordPress development partner?”, the businesses that show up in that answer have a significant advantage over those that don’t.
How GEO differs from SEO — and why both matter
GEO and SEO aren’t in competition. They share the same technical foundations and many of the same practices. The difference is in what they’re optimising for.
SEO optimises for ranking — getting your pages into the results list when someone searches Google or Bing.
GEO optimises for citation — getting your content selected as the answer, or as a source, in an AI-generated response.
A site can rank well in traditional search but be nearly invisible in AI answers if it lacks the structural signals AI models look for. Equally, strong GEO foundations improve traditional SEO — the things that make a site easy for AI to understand (clean structure, clear entity data, fast load times) are the same things that help Google rank it well.
The practical takeaway: if you’re already doing good SEO, you’re partway there. GEO builds on top of it.
What AI models look for when choosing what to cite
AI models don’t browse websites the way humans do. They parse structure, extract meaning from context, and assess credibility based on signals that are often invisible to a casual reader. Here’s what those signals are:
Entity clarity
Does your site clearly communicate who you are, what you do, and where you operate? AI models think in entities — people, organisations, places, topics. A site that answers these questions unambiguously is far easier for an AI to represent accurately. This means consistent naming across your homepage, about page, and footer. It means your contact details and location match across every place they appear. It means your About page reads like a clear declaration, not a vague mission statement.
Structured data and schema markup
Schema markup is code you add to your pages — invisible to visitors, readable by machines — that tells search engines and AI models exactly what a page contains. An Organisation schema tells an AI your business name, what you do, how to contact you, and which social profiles are yours. A FAQ schema makes your question-and-answer content directly parseable. A Person schema establishes the author behind your content as a real, credible individual. Without schema, AI models have to infer all of this from your prose — and they may get it wrong, or simply skip you in favour of a source that’s clearer.
E-E-A-T signals
Google introduced Experience, Expertise, Authoritativeness, and Trustworthiness as a framework for evaluating content quality. AI models apply similar judgements. Content that demonstrates genuine experience (specific examples, named clients, real outcomes) is more credible than generic claims. Author attribution matters. Citing sources and making verifiable claims matters. A site that reads like it was written by someone who actually does the work — rather than someone who aggregated information about the work — is a more trustworthy citation source.
Conversational content structure
Traditional SEO content is often structured around keywords. GEO-ready content is structured around questions. AI models are asked questions, and they look for content that directly answers them. That means your headings should reflect actual questions your audience asks. Your introductions should state clearly what the page covers. Your FAQ sections should contain the real questions — not the marketing-friendly versions.
Technical foundation
Slow sites get deprioritised. Pages with crawl errors don’t get processed. Content behind login walls doesn’t get read. The baseline technical requirements for GEO are the same as for good SEO: fast load times, clean HTML, accessible markup, a well-configured sitemap, and no accidental blocks in your robots.txt.
What GEO looks like in practice
For most businesses, GEO isn’t a wholesale rebuild — it’s a layer of work on top of an existing site. The key interventions are:
- Schema markup on your homepage, service pages, about page, and blog posts — at minimum, Organisation or Person schema that establishes your entity clearly
- An llms.txt file — an emerging standard (think robots.txt for AI models) that gives AI tools a curated summary of who you are and which pages matter
- Content restructured around questions — reviewing your key pages to ensure they answer real questions directly, with clear headings and unambiguous introductions
- Author credibility — adding author information to published content, with bios that establish genuine expertise
- E-E-A-T review — assessing whether your content demonstrates real experience, or reads like it could have been written by anyone
None of these require starting from scratch. Most can be applied to an existing WordPress site without major development work.
Who needs to think about GEO right now
The honest answer is: any business that relies on being discovered online.
But the urgency varies. GEO matters most to businesses where:
- The sales cycle involves research — B2B, professional services, SaaS, agencies. When buyers research options before contacting anyone, AI answers are increasingly part of that research process.
- Authority and trust drive decisions — if being seen as a credible expert is part of how you win business, being cited in AI answers reinforces that credibility in a way that a good ranking position never quite did.
- The competition is starting to move — in most sectors, GEO is still early. The businesses that build these foundations now will be harder to displace when the field catches up.
For agencies specifically: your clients are starting to ask about this. Having a clear, accurate answer — and the ability to deliver it — is itself a differentiator.
A note on what GEO doesn’t mean
GEO isn’t about gaming AI models. The sites that will do best in AI-generated answers are the ones that are genuinely clear, genuinely credible, and genuinely useful — because those are the sites AI models are trying to surface.
Keyword stuffing doesn’t help. Thin content written to hit a structure doesn’t help. Misleading schema that doesn’t reflect the page content doesn’t help — and may actively harm you if AI models develop better mechanisms for detecting inconsistency.
The frame that works is the same one that’s always worked for good SEO: build something that deserves to be found, then make it as easy as possible for the right tools to find it.
GEO is a new name for a set of practices that are increasingly important. The underlying principle — make your site easy to understand, trustworthy to cite, and useful to your audience — isn’t new at all.
If you’d like to know what this looks like in practice for a WordPress site or see how I approach GEO and AI visibility as a service.
