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    GlossaryGEO
    Glossary · Strategy

    What is Generative Engine Optimization (GEO)?

    Definition

    Generative Engine Optimization (GEO) is the practice of optimizing content specifically to be cited by and appear in AI-generated search results. As AI-powered search engines (like ChatGPT, Claude, and Google's AI Overviews) become primary sources of information, organizations must ensure their content is discoverable, credible, and useful to these systems. GEO complements traditional SEO for visibility in AI contexts.

    AI SearchContent StrategyVisibilityAI CitationsEmerging SEOGEO
    In short

    GEO at a glance.

    Optimizes content for AI search engines
    Ensures content is cited by AI
    Complements traditional keyword SEO
    Requires fresh, authoritative content

    GEO as complement to traditional SEO

    AI search is reshaping how people find information. Organizations can no longer rely solely on ranking in Google. Content must also be discoverable and valuable to AI systems trained on web data. GEO focuses on creating authoritative, original, fact-backed content that AI systems want to cite. This differs slightly from keyword SEO: rather than targeting search phrases, GEO targets topics and entities AI systems will discuss.

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    GEO — frequently asked

    Authoritative sources (established, cited by others), original research or data, clear facts, topical depth, and transparency about sources and expertise. Content AI systems can confidently cite.

    No. Traditional SEO still drives significant traffic. GEO is complementary: optimize for both AI and human search. Over time, the balance shifts as AI search grows.

    Track mentions by AI systems (search console may show this), references in AI-generated responses, traffic from AI-powered search, and brand mentions in AI contexts. Tools are still emerging.

    From definition to done.

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