Generative Engine Optimization (GEO)
Generative engine optimization (GEO) is the broader discipline of making a business's content and public-page signals legible to generative AI systems in general — not just answer engines, but any large language model that might describe, summarize, or recommend the business. It overlaps heavily with AEO but is the wider umbrella term.
GEO and AEO are closely related and often used interchangeably, but GEO is the broader term: it covers any scenario where a generative AI system produces text that references, describes, or recommends a business, not only the narrower case of a direct question-and-answer exchange in a chat-style answer engine. That includes AI-generated summaries, AI shopping or research assistants, and AI browsing agents that read a site on a user's behalf.
The practical requirements largely mirror AEO: the content and its facts need to be crawlable, accurately structured (schema markup), and stated in clean, unambiguous language rather than buried in vague marketing copy. Revvye's AI-readiness dimension and its AI crawler access check apply to GEO the same way they apply to AEO — a crawler that's blocked or a fact that's only implied rather than stated fails both disciplines identically.
Revvye's own positioning explicitly separates this diagnostic from a guarantee: the scan measures whether the public-surface preconditions for GEO/AEO visibility are met, not whether any specific generative system will actually choose to mention the business, since that final step depends on factors outside any single website's control.
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