← Glossary

    GEO/AI Search

    GEO (Generative Engine Optimization)

    Short definition

    GEO (Generative Engine Optimization) is the practice of structuring a website so that AI engines like ChatGPT, Perplexity, Claude, and Google AI Overviews cite it as a source.

    In depth

    GEO is the AI-era counterpart to classic SEO. Where SEO targeted blue links and rankings, GEO targets citations inside generative answers. The tactics overlap with SEO (clean HTML, schema, fresh content, authority) but add new ones: direct-answer paragraphs in the first 60 words of a page, llms.txt and llms-full.txt files, allowing AI crawlers in robots.txt, comparison and definition content (the formats LLMs cite most), structured data on every entity, and original statistics or quotes the model can attribute back to your URL.

    Example

    A web agency adds an /llms.txt file, switches every article to lead with a direct-answer paragraph, and within a quarter starts appearing as a cited source in ChatGPT answers about 'web design pricing'.

    Related terms

    llms.txtGoogle AI OverviewsSchema MarkupAnswer Engine Optimization (AEO)Speakable Schema

    Related glossary

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    Glossary

    llms.txt

    llms.txt is a plain-text file at the root of a website that gives large language models a curated, machine-readable map of the site's most important content.

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    Glossary

    Google AI Overviews

    Google AI Overviews are AI-generated answer panels at the top of Google search results that summarize information from multiple websites and link to the sources.

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    Glossary

    Schema Markup

    Schema markup is structured code added to a webpage that tells Google, Bing, and AI engines exactly what the page is about — a service, a review, a person, an FAQ.

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    Glossary

    Answer Engine Optimization (AEO)

    Answer Engine Optimization is the practice of structuring content so it can be lifted directly as the answer in AI assistants, voice search, and featured snippets.

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    Glossary

    Speakable Schema

    Speakable is a schema.org property that marks specific sections of a page as suitable for text-to-speech reading by voice assistants.

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