What is Generative Engine Optimization?
Generative Engine Optimization (GEO) is the practice of optimizing content so that generative AI systems — ChatGPT, Perplexity, Google AI Overviews, and other LLM-powered search experiences — include and cite it when synthesizing answers. GEO and Answer Engine Optimization (AEO) are two names for substantially the same discipline.
The term comes from the research literature: the 2023 paper that coined GEO measured how content changes (citing sources, adding statistics, clearer structure) affect how often generative engines include a page in their synthesized answers. Industry usage has since converged with AEO — some teams say GEO when they emphasize the generative synthesis step, and AEO when they emphasize the question-answering surface, but audits, tactics, and measurements are shared.
Whichever name you use, the work is the same: let AI crawlers in, publish machine-readable structured data, write answer-first extractable content, and build the entity and trust signals engines corroborate before citing. If your organization already has an SEO function, GEO/AEO extends it rather than replacing it.
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Common questions
How does generative engine optimization work?
Generative engine optimization works by making a page easy for an AI system to retrieve, parse, and trust: allow AI crawlers, publish JSON-LD structured data, open sections with a direct answer, cite sources and statistics, and keep entity details consistent. The engine then includes the page when it synthesizes an answer.
What is the difference between GEO and AEO?
There is no practical difference in the work. GEO comes from the 2023 research literature on generative search, and AEO is the industry name for optimizing to be the answer. Both mean earning citations inside AI-generated responses.
What is a generative engine optimization audit?
A generative engine optimization audit checks the signals that decide whether AI systems can cite a site: AI-bot access in robots.txt, llms.txt, structured data validity, answer-first content structure, and E-E-A-T trust signals. The toolkit audit runs 44 checks (31 technical and 13 AEO) free.