Glossary
GEO (Generative Engine Optimization)
The practice of structuring content and technical infrastructure so generative AI engines, chat assistants and AI-generated search results alike, can find, understand, and cite a brand in their answers.
Definition
Generative Engine Optimization (GEO) is the practice of structuring a website and its content so generative AI systems, both chat engines and AI-generated search results, can find, understand, and cite a brand when answering a question. The term traces back to a 2023 academic paper that proposed it alongside a formal measurement framework.
GEO does not replace classic SEO. Crawlability, indexing, and technical health remain a prerequisite; GEO adds a layer specific to how generative systems select sources and synthesize an answer from them, rather than ranking a list of links.
Same ruler
See how this is measured
This term is part of the same declared methodology every score on this site follows: which prompts, which engines, how many runs.
Related terms
AEO (Answer Engine Optimization)
A close synonym of GEO with roots in older featured-snippet and voice-search optimization practice. In practice, the same target: being cited by a system that answers directly instead of listing links.
Grounding
Whether an AI answer draws on live web retrieval (a grounded, or retrieval-augmented, answer) versus fixed training-time knowledge. Changes what optimization work can influence, and how fast.
Engine Family
The split between chat engines (ChatGPT, Perplexity, Gemini, Claude) and Search-AI surfaces (Google AI Overviews, AI Mode, Bing Copilot). Never blended into one score.
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