AI search answers
Does schema markup help with AI search?
Short answer: Schema markup does not force an AI citation, and it is not a ranking factor for generative engines. What it does is state plainly what a page is, who published it and how your entities relate, so a retrieval system does not have to infer any of it. That disambiguation is worth doing, but it is not a substitute for a quotable answer.
The types that earn their keep
- Organization and Person — who you are and who speaks for you
- WebSite and WebPage — with an honest dateModified, not a rolling timestamp
- FAQPage and QAPage — for pages built around questions
- Service and Offer — what you sell and at what price
- BreadcrumbList — where the page sits in the site
- DefinedTerm — for glossary and definitional content
Connecting beats adding
Ten disconnected schema blocks describing the same company as three slightly different names is worse than one connected graph. Give each entity a stable identifier and have every page point at the same Organization, WebSite and Person nodes, so you resolve as one entity.
Do not mark up claims you cannot support
AggregateRating and Review markup require real, verifiable reviews. Fabricated ratings are a policy violation and a credibility risk with both search engines and models. If the reviews do not exist yet, leave the markup out.
People also ask
- Is JSON-LD the right format?
- Yes. JSON-LD in the page is the format Google documents and the easiest to keep consistent.
- Will schema alone get me cited?
- No. Schema removes ambiguity; the citation still comes from having the most quotable, best-sourced answer.
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