AI search fix
Schema markup missing for AI search — how to fix it
When schema markup is missing for AI search, parsers rely on messy HTML alone to infer brand, product, and FAQ facts — increasing ambiguity in AI answers. Add schema.org JSON-LD that mirrors visible content: Organisation on the homepage, Product or Offer on commerce pages, FAQPage only where real questions appear in HTML. Fix crawl access first; schema helps after bots can fetch pages. Accurate schema does not guarantee citations.
Plugin-generated schema often conflicts with theme markup. Prefer one primary block per URL and validate in view-source after deploy.
Fix missing schema for AI-readable pages
- Confirm AI crawlers return 200 on URLs you will mark up.
- Pick schema types per URL intent: Organisation, Product, FAQPage, BreadcrumbList.
- Write JSON-LD matching visible price, name, and FAQ text.
- Validate with Rich Results Test and fix errors before launch.
- Re-audit after CMS or SEO plugin updates.
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See what AI crawlers hit on your site
Technical blockers, missing context, weak AI-readiness signals — in one HTML report.
You'll get an HTML report on missing or conflicting schema.org types on your domain.
Frequently asked questions
Is schema required for ChatGPT or Perplexity?
Not documented as required, but missing schema increases misquotes when pages are retrieved.
Can I add FAQ schema without visible FAQs?
No. FAQPage must match on-page questions users can read.
Does schema alone fix AI visibility?
No. Crawl access and content quality still come first.
Related questions
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