Answer · GEO
What is generative engine optimization (GEO)?
GEO is the practice of making your content the source that generative AI engines quote when they answer a question.
Search is splitting into two jobs. Classic search returns a list of links and you pick one. Generative engines return a written answer assembled from a handful of sources they trust. GEO is optimisation for that second job: getting your content read, believed, and cited by the model that writes the answer.
GEO, AEO, and SEO: how they relate
- SEO optimises for ranking in a list of links.
- AEO (answer engine optimisation) optimises for being the answer to a specific question.
- GEO optimises for being cited by generative engines across many phrasings of a topic.
In practice the terms overlap heavily, and most teams use GEO and AEO to mean the same thing: earning a place inside AI-generated answers. What matters is not the label but the shift, from ranking to citation.
What generative engines reward
Models are reading to extract, not to browse. They favour content that states a clear question and gives a direct, self-contained answer near the top, defines its terms plainly, backs claims with specifics rather than adjectives, and carries structured data (FAQ, Article, Organization schema) they can parse. They also weigh authority: a site that covers a topic thoroughly and consistently is trusted more than one that mentions it once.
How to start with GEO
Pick the questions your buyers actually ask, write one clean page per question with the answer stated up front, add the schema, and interlink pages into a topic cluster so engines see depth. Then measure the thing that matters: not just rankings, but whether you are actually quoted in ChatGPT, Perplexity, and AI Overviews. That citation tracking is what tells you GEO is working.
Digiton runs GEO and AEO as a core service, deployed across 8 countries, and applies it to its own product Parci, which analyses 308 Portuguese municipalities. To see where you can be cited, start with an AI audit or read more on AI SEO in Lisbon.
Frequently asked questions
What is generative engine optimization (GEO)?
GEO is optimising content so generative AI engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews surface and cite it in their answers. Instead of ranking a link, GEO earns a place inside the synthesised answer using clear direct answers, defined terms, structured data, and topical authority.
Is GEO the same as AEO?
They overlap almost entirely and most teams use them interchangeably. AEO frames it as being the answer to a specific question; GEO frames it as being cited by generative engines across a topic. Both describe the same shift from ranking links to being quoted inside AI answers.
How do I start with GEO?
List the real questions your buyers ask, write one clear page per question with the answer stated up front, add FAQ and Article schema, and interlink pages into a topic cluster. Then track whether you are actually cited in ChatGPT, Perplexity, and AI Overviews, not only where you rank.
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