GEO & AI search
Structured data
schema.org
Definition
Markup embedded in a page, such as Product or FAQPage schema, that tells both search engines and AI assistants exactly what a piece of content is, rather than making them infer it.
Defined in The Agentic Commerce Glossary.
How else it gets framed
The same term carries different emphasis depending on the surface it’s used on. Both readings are correct.
Machine-readable markup — typically JSON-LD using schema.org vocabulary — that labels facts on a page explicitly: Product name, Offer price, AggregateRating, FAQPage question/answer pairs. It exists alongside the human-readable page, not instead of it.
Google AI Overviews for Ecommerce: What Surfaces and Why →Where Structured data comes up
The guides that put this term to work, rather than just defining it.
- Commerce GEOGoogle AI Overviews for Ecommerce: What Surfaces and Why
- ShopifyMigration to Shopify Without Losing Rankings or Data
- Agentic CommerceThe Agentic Commerce Readiness Checklist
- Catalog for AIProduct Taxonomy Design for AI Discovery
- Commerce GEOThe Commerce GEO Benchmark: What "Good" Citation Rates Look Like
- Commerce GEOGEO vs. SEO Budget Split: A Decision Framework
- For AgenciesThe Agency Pitch Deck for Agentic Commerce, Annotated
- For AgenciesThe Agency Playbook: Adding Agentic Commerce Services in 2026
- Commerce GEOHow Perplexity Picks Products (Observed Behavior)
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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