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Questions

Does schema markup help with AI search?

Updated September 2026 · by Monish

Short answer

It helps the engine read you correctly when it fetches you: Organization schema ties your name to a legal entity, Product or Service schema declares what you sell and to whom, FAQ schema gives it the sentence to quote. It does not get you named for questions where your site is not fetched. Four of the report's thirteen checks read it.

Which blocks matter

Organization with legalName, contactPoint and sameAs to your profiles, so a generic-sounding name is not merged with someone else's. Product or Service, one per thing you sell, with the audience. FAQPage with your buyers' questions answered in a sentence each. For a store, Product with Offer on every product page; for a local business, the LocalBusiness subtype with address and hours.

What to skip

HowTo, retired by Google in 2023. FAQ rich results were retired in 2026 for search, but the block is still what engines quote, so keep it for that reason and not for a rich result. Anything decorative. The schema checker on this site shows what an engine learns from your page's JSON-LD.

The term behind it: Answer engine

A system that answers a question with a written answer rather than a list of links: ChatGPT with web search, Perplexity, Google's AI Overviews and AI Mode, Gemini with search grounding.

The report scores four: ChatGPT with web search, Perplexity, Gemini with Google Search grounding, and Google AI Overviews. Each is asked every question with the buyer's country set and scored separately, so the split between engines is visible. Answer engine, in full.

Read next

Schema checker for AI search · JSON-LD · AI search starter kit: five files from your own pages

Ask it about your own company

Your website, region and work email. The score appears in about three minutes, and the report is a link you keep.

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