AI search fix
Schema markup missing for AI search — how to fix it
When schema markup is missing or minimal, AI systems and search engines must infer facts from unstructured HTML alone. That increases errors on prices, services, locations, and FAQs. The fix is to add accurate JSON-LD blocks per page type — Organisation on the homepage, Product or Offer on commercial pages, FAQPage only where real FAQs exist — and validate the live HTML source after deploy. Google does not require structured data for every generative AI feature in Search, but clear JSON-LD still helps parsers. Accurate markup does not guarantee AI citations.
For AI assistants, consistent JSON-LD reduces ambiguity when they quote your business details. Pair schema work with crawl readiness — parsers cannot read markup they never fetch.
How to add schema for AI-readable pages
- Audit key URLs in View Source for existing JSON-LD scripts.
- Add Organisation and WebSite schema on the homepage with the correct canonical domain.
- Mark up products, services, or offers on money pages with matching on-page text.
- Use FAQPage schema only for visible FAQ content — not boilerplate.
- Test with Rich Results Test or Search Console after deployment.
You'll get an HTML report on schema.org coverage and gaps on your live pages.
Run the diagnosticRelated questions
- FAQ schema for AI search — do you need it?When FAQPage helps parsers — and when Google FAQ rich results no longer apply.
- llms.txt missing — when to publish itOptional site briefing after crawl and schema basics are sound.
- AI search visibility checklist for small businessFull ordered path including structured data and content.
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