In short
Generative Engine Optimization (GEO) is the practice of structuring and writing content so that generative AI engines — ChatGPT, Perplexity, Google AI Overviews, Claude, and others — understand it, trust it, and cite it in their answers. Where SEO optimises for ranking in a list of links, GEO optimises for being named in a synthesised answer.
Why GEO matters now
A growing share of questions never reach a page of results. Someone asks an assistant, and gets a single answer assembled from the sources the model chose to trust. If your brand is not among those sources, you are invisible at the precise moment a decision is being made — and unlike a search result, there is no page two to climb from.
GEO is the discipline of earning a place in that answer. It is not a trick or a keyword game; it is making your content clear enough to quote, structured enough to parse, and credible enough to cite.
How AI engines choose what to cite
Generative engines do not rank pages the way a search index does. They retrieve passages, weigh how directly each one answers the question, and favour sources that are specific, self-contained, and corroborated elsewhere on the web.
In practice, that rewards four things:
- A clear, direct answer near the top of the page — not buried under preamble.
- Factual, self-contained statements a model can lift without distorting them.
- Consistent claims across the open web, so the model sees corroboration.
- Machine-readable structure — descriptive headings, clean HTML, and schema.
What GEO involves in practice
A GEO engagement usually touches the same content SEO would, but optimises it for a different reader — the model, not the crawler. The core moves are:
- Answer-first writing — lead with a direct, quotable definition or conclusion.
- Structured content — descriptive headings, FAQ blocks, tables, and lists a model can parse cleanly.
- Schema and llms.txt — structured data plus an
llms.txtfile that points engines at your best content. - Entity consistency — the same facts about your company, stated the same way, everywhere.
- Corroboration — presence in the third-party sources models already read and trust.
How you measure GEO
You cannot see GEO in a rank tracker. Instead you monitor whether — and how — engines mention you. The practical method is to prompt a set of target questions across ChatGPT, Perplexity, Gemini, and Claude on a regular cadence, record when you are cited, and track your share of voice against competitors over time.
It behaves like SEO in one important way: it compounds. Structural fixes can surface within weeks, but authority and corroboration build over months.
Common questions
Is GEO the same as SEO?
No. SEO optimises for ranking in a list of links; GEO optimises for being cited inside an AI-generated answer. They overlap — both reward clear, credible, well-structured content — but the target and the way you measure success are different.
Does GEO replace SEO?
No. Classic search still drives large volumes of traffic, and the same content usually serves both. The strongest approach treats GEO and SEO as one content strategy with two audiences: the crawler and the model.
How do I know if AI engines cite my brand?
By testing. Ask the engines your target questions on a regular schedule and log when and how you are mentioned. Tracking this over time shows whether your GEO work is moving your share of voice.
How long does GEO take to work?
Like SEO, it compounds. Structural improvements — answer-first formatting, schema, llms.txt — can surface within weeks, while authority and third-party corroboration build over months.