What Is GEO, and Why Does It Matter Now?
Generative engine optimisation is how you get cited by ChatGPT, Claude and Perplexity. Here is what actually changes compared with traditional SEO.
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Search is splitting in two. One half still returns a list of blue links. The other returns a written answer, assembled from a handful of sources, with citations underneath. Optimising for the first is SEO. Optimising for the second is what people have started calling GEO — generative engine optimisation.
The distinction matters because the second kind of result has no page two. An assistant either uses your page to build its answer, or it does not.
What actually changes
Most of the SEO foundation carries over unchanged. Fast pages, clean semantic HTML, a sensible heading hierarchy, internal links that describe where they go — all of it still counts, and for the same reasons.
Three things genuinely change.
1. JavaScript is a much bigger liability
Googlebot renders JavaScript, if slowly and with a queue. Most AI crawlers do not. GPTBot, ClaudeBot and PerplexityBot fetch what the server returns and work with that.
This is the single biggest technical difference, and it is why a client-rendered single-page application can rank acceptably in Google while being nearly invisible to an AI assistant. If a fact about your business only exists after a script has run, it does not exist as far as these systems are concerned.
2. Being quotable beats being keyword-dense
A ranking algorithm scores a whole document. A generative engine lifts a sentence or two. That rewards writing that states things plainly:
- Answer the question in the first sentence, then explain.
- Put concrete numbers, prices, timeframes and constraints in text, not in images or diagrams.
- Use question-shaped headings when the content genuinely answers a question.
A frequently asked questions block is the clearest example. It is a format that maps exactly onto how an assistant wants to consume information: a question, followed by a self-contained answer.
3. Structured data describes, rather than decorates
JSON-LD has always been useful for rich results. For generative engines it does
something more basic: it tells a machine what kind of thing the page is and how
it relates to everything else you publish. An Organization node connected to
Service nodes connected to Article nodes is a small, legible map of your
business.
What this looks like in practice
None of this requires exotic technology. It requires a site that renders its content on the server, states its facts in text, and describes itself accurately.
That is a fair summary of what a well-built static site does by default — which is why the arrival of AI search has been kinder to plainly built websites than to elaborate ones.
Where to start
If you want a single first move: open your most important page, disable JavaScript in your browser, and reload it. What remains is roughly what an AI crawler sees.
For a lot of sites, that is an uncomfortable experiment. It is also the fastest diagnosis available.
Questions
Frequently asked
questions.
Does GEO replace SEO?
No. The two share a foundation — fast, server-rendered pages with semantic HTML and clear structure. GEO adds a layer on top, aimed at being quotable rather than merely rankable.
Do AI crawlers execute JavaScript?
Mostly not. GPTBot, ClaudeBot and PerplexityBot fetch the HTML a server returns and generally do not run client-side scripts. Anything that only appears after JavaScript executes is effectively invisible to them.
How do I know whether an AI engine is citing my site?
Server logs are the most reliable signal — look for GPTBot, ClaudeBot, OAI-SearchBot and PerplexityBot in your access logs. Beyond that, ask the assistants questions your business should be the answer to and see who gets cited.
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If any of this raised a question about your own site, we are happy to look at it with you — no obligation, no pitch deck.