Generative Engine Optimisation (GEO) is the practice of making a brand discoverable, quotable and recommendable inside AI-generated answers. Where classic SEO competes for a position in a list of links, GEO competes to be one of the two or three sources an assistant actually names when it composes a reply.
Why it emerged
A growing share of buyers now begin research by asking an assistant rather than typing a query into a search box. The output they see is a single synthesised answer with a handful of citations. If your brand is not among those citations, you are invisible to that buyer — regardless of where you rank on page one.
How GEO actually works
Assistants build answers by retrieving passages, not by browsing pages the way a person does. That shifts the unit of optimisation. A clearly stated, self-contained paragraph that answers one question without depending on the three paragraphs above it is far more likely to be lifted and attributed than an elegant argument that unfolds over a full article.
- Answer-first formatting — state the conclusion, then support it
- Self-contained passages that survive being quoted out of context
- A consistent, well-described entity the model can identify and trust
- Presence in the third-party sources assistants tend to retrieve from
- Structured data that states plainly what you are and who you serve
GEO is not a replacement for SEO
The foundations are shared. A site that cannot be crawled, that renders its content client-side, or that has no authority signals will fail at both. GEO is a layer added on top of technical and content SEO — not an alternative to it.
Ranking gets you into the list. GEO gets you into the answer.
How to measure it
There is no Search Console for generative answers yet. The workable approach is to define a fixed set of buying-intent prompts, run them across the major assistants on a schedule, and log which brands are named and in what order. It is manual and imperfect, and it is still far more signal than assuming.
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The AI-Driven Growth System covers the whole framework — retrievability, entity work, answer-first content and measurement.
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GEO vs SEO: what actually differs
GEO and SEO share a technical foundation and diverge on three things: the unit of optimisation, the weight given to entities, and how you measure success.
How LLMs discover and choose which brands to name
Three separate mechanisms decide whether an AI assistant names your brand: what was in training data, what live retrieval surfaces, and how confidently the model can identify you as an entity.