What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of getting a brand named, recommended and cited inside answers generated by AI assistants such as ChatGPT, Gemini, Perplexity and Google's AI Overviews. Where SEO competes for a position in a list of links, GEO competes for a mention inside a single written answer.
Updated 19 July 2026
The shift GEO responds to
For twenty-five years, search returned a list and the user chose from it. Being on that list was the game, and ranking third still won you a share of the clicks.
An AI assistant does not return a list. Asked "what's the best online cigar shop in the UK", it writes a paragraph naming three or four businesses. There is no fourth position that quietly earns traffic. You are named or you are absent, and absence looks identical to not existing.
That is the whole reason GEO is a separate discipline. The unit of competition changed from a position to a mention.
How GEO differs from SEO
They overlap, but they are not the same job.
| SEO | GEO | |
|---|---|---|
| Unit of success | A ranked position | A mention inside an answer |
| Result shape | Ten blue links | One written paragraph |
| Runner-up value | Real — position 5 earns clicks | Roughly zero |
| Measurement | Rank tracking | Asking assistants and counting |
| Main lever | Your own pages | What the wider web says about you |
The last row is the one people underestimate. In SEO your own site is the main thing you optimise. In GEO your own site is often the smaller half, because an assistant answering from training data has never visited it — it is recalling what the internet, in aggregate, said about you.
The two ways you get named
An assistant surfaces a brand one of two ways, and they need opposite responses.
Parametric — the model answers from what it learned in training. It is recalling you. No page was fetched, no citation exists. You cannot edit a model's memory this quarter, so the lever is to become widely and consistently described across the sources that training data is drawn from.
Retrieved — the assistant searches the live web mid-answer and writes from what it finds. This one moves in weeks, not training cycles. Better pages, clearer answers, and citations from sources the assistant trusts change your standing quickly.
In our own measurements, the majority of brand mentions arrive parametrically, with no citation attached at all. That matters because it means a GEO strategy built purely on "optimise the site" is working on the smaller half of the problem without knowing it. Our methodology page explains how we separate the two.
What actually moves GEO
In rough order of leverage:
- Be a clearly-defined entity. Consistent name, consistent description, consistent details everywhere you appear. Models resolve entities; ambiguity costs you mentions that get attributed to someone else.
- Get named on sources assistants trust. Roundups, comparisons, reputable directories, forums with real discussion. A mention on a source an assistant retrieves is worth more than another page on your own domain.
- Publish the answer, not the brochure. Pages that directly answer the questions buyers ask are what retrieval lifts. Marketing copy is not liftable.
- Be machine-readable. Structured data, clean HTML, and a site that does not require JavaScript to render its main content. If a crawler cannot read you, no amount of quality helps.
- Fix what blocks crawlers. A surprising number of sites refuse the very agents that would cite them. See our crawler page for what a well-behaved one looks like.
Why GEO has to be measured, not assumed
Every item on that list is a hypothesis until you check. The only way to know whether an assistant names you is to ask it — repeatedly, across providers, with the questions your buyers actually use, and count the results.
That is what an AI visibility measurement does, and it is why we publish an index rather than a checklist. You can scan your own site free to see the readable half, and a full measurement covers the half that only asking can reveal.
The honest limits
GEO is young and much of what is written about it is confident guesswork. Three things worth holding on to:
- Nobody can guarantee a mention. Anyone promising one is selling certainty that does not exist.
- Answers are non-deterministic. Ask twice, get different wording and sometimes different brands. This is why measurement has to sample repeatedly rather than ask once.
- It varies by assistant. Being named by ChatGPT tells you little about Gemini. Single-provider measurement is a partial picture.