GEO & AI search
Corroboration graph
Definition
The network of independent mentions, reviews, and citations of a product across the web that AI assistants use as a trust signal before recommending it.
Defined in The Agentic Commerce Glossary.
Where Corroboration graph comes up
The guides that put this term to work, rather than just defining it.
Related terms
- 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.
- 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.
- 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.
- 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.
- Server-side rendering
- Generating the full HTML — including product facts and JSON-LD — on the server so it's present in the initial response, before any JavaScript runs. The opposite of client-rendering facts into the page after load.
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