GEO / AI Search · GEO
Generative Engine Optimization
Definition
What is Generative Engine Optimization?
The practice of engineering content, schema, and entity authority so a brand is cited inside generative AI answers. Targets ChatGPT, Gemini, Perplexity, Claude, and Microsoft Copilot. Built on entity disambiguation, structured data, citation-bait content, and llms.txt.
Related terms
Cross-linked concepts
- Answer Engine Optimization (AEO)Optimizing content for direct extraction by AI answer engines and voice search. Focuses on question-form headings, atomic facts, FAQ schema, and concise definitions in the first 200 words. Sister discipline to GEO.
- Answer CapsuleA 2-3 sentence self-contained paragraph in the first 200 words of a page that directly answers the title's question. The most likely passage to be quoted by AI engines and Google's Featured Snippets. Must be under 70 words and name the entity explicitly.
- Entity AuthorityThe strength of an organization's presence across structured data sources (Wikidata, Crunchbase, LinkedIn, schema.org Organization). AI engines weight this heavily before deciding to cite a brand. Brands present on 4+ authoritative platforms are roughly 2.8× more likely to appear in AI answers.
- FAQPage SchemaJSON-LD structured data that marks a page's FAQ section as machine-readable Question/Answer pairs. Generates accordion-style rich results in Google and is one of the highest-leverage AEO patterns. Pages with FAQPage schema get cited in Perplexity around 40% more often.
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