GEO & AI search

llms-full.txt

Definition

A companion convention: a single file containing the full flattened text content of the mapped pages, so an AI system can ingest everything in one fetch. Useful for documentation sites; rarely worth maintaining for an ecommerce catalog that changes weekly.

Defined in llms.txt for Ecommerce: The Complete Guide.

Related terms

Product schema audit: A scored review of Product (and related Offer / rating / policy) structured data on live product pages, measured as a crawler would read them, against a fixed field checklist weighted for AI shopping usefulness.
Retrieval-augmented answer: An AI response generated by first searching for relevant live pages, then having the model read and synthesize from those specific pages — as opposed to answering purely from training data. Perplexity's shopping answers are retrieval-augmented, which is why what's on your page right now matters more than what a model "knows" about your brand.
Shared foundation: Technical and data work — structured data, attribute completeness, site architecture, page performance — that simultaneously improves classic search rankings and AI-assistant citation accuracy. It should be budgeted once, not split across SEO and GEO line items.
Commerce GEO: Generative engine optimization applied to commerce — the practice of structuring a catalog and content so AI assistants like ChatGPT, Claude, Gemini, and Perplexity cite and recommend it.
Answer-first structure: Writing the conclusion or direct answer as the first sentence of a section, with supporting reasoning and caveats following it — the inverse of narrative or journalistic structure, which builds to a conclusion.
Corroboration: Independent confirmation of a claim from a source that isn't the brand itself. In GEO terms, it's the difference between a fact an assistant can state with confidence and one it has to hedge or omit.

All 112 terms

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