What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the discipline of structuring content so that generative engines like ChatGPT, Gemini, and Perplexity cite it as a source.
Generative Engine Optimization (GEO) is the practice of engineering content, structure, and signals so that generative engines select your source when synthesizing an answer. While AISO governs the entire visibility system, GEO is specifically about being cited in generated responses.
The GEO mandate
Generative engines select sources based on perceived trust, structured clarity, citation density, and topical fit. GEO engineers each of these — turning a website into a high-probability citation candidate.
Core GEO levers
Author authority, source citations, statistical density, schema fidelity, semantic clarity, and topical depth. Each one independently increases the probability of being selected as a source.
Closely related but distinct. AEO targets answer engines broadly; GEO targets generative engines specifically.
Original research, statistical roundups, definitive guides, and well-structured FAQs cite at much higher rates than promotional content.
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