Search used to end in a list of links. Increasingly it ends in an answer with a few names in it. GEO is the discipline of making sure your business is one of those names. Here is what it actually is — and what the data says works.
Generative Engine Optimization (GEO) is the practice of making a business, website or brand more likely to be named and cited in answers generated by AI engines — ChatGPT, Google Gemini, Google AI Overviews, Perplexity and Microsoft Copilot. Where SEO competes for a position in a list of links, GEO competes for inclusion in the answer itself. You will also see the terms AIO (AI Overviews optimization) and AI visibility; they describe the same shift from ranking pages to being the recommendation.
| SEO | GEO | |
|---|---|---|
| You compete for | A position in a ranked list | A place inside a generated answer |
| The user sees | 10+ links to choose from | A handful of names, stated as the answer |
| Key inputs | Keywords, links, page experience | Machine-readable facts (schema.org, llms.txt), quotable statistics, entity consistency, reviews, third-party citations |
| Measured by | Rankings and clicks | Asking engines real buyer questions and counting who gets named |
| Attribution | Trackable in analytics | Largely invisible — the recommendation you didn't get appears in no dashboard |
The inputs overlap — a site that cannot be crawled fails at both. But GEO adds a layer SEO never required: your facts have to be readable, consistent and quotable by a machine that writes prose.
In our July 2026 pilot measurement of Dubai restaurants (published as the UAE AI Visibility Index):
The practical consequence: because almost nobody in the UAE is optimised for AI engines yet, early movers face very little competition for the answer.
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