Schema Markup Checker
See which structured data types your page exposes — and which AI-friendly ones it's missing
How it works
No black box. Here's exactly what Schema Markup Checker checks.
- 1
We fetch the page
Server-side, with a sane timeout. We don't store the URL.
- 2
We extract every JSON-LD block
Then parse each one and surface invalid blocks separately so you can fix them in isolation.
- 3
We classify @type values
Organization, FAQPage, Article, Product, BreadcrumbList, WebSite — everything that helps Google rich results and AI citation.
- 4
We flag missing high-value schemas
Coverage of the schemas that matter most for AI Visibility and rich SERP results, with concrete add-this recommendations.
Why this matters
Schema is the most reliable signal you can send about what your site actually is. Every other signal is heuristic — schema is explicit. AI engines use it to attach a verifiable entity to citations, and Google uses it for rich results, breadcrumbs, FAQ snippets, and knowledge panels. The work is genuinely 10 minutes per page; the leverage is months of compounding visibility.
- AI engines (ChatGPT, Perplexity, AI Overviews) reference structured data to confirm "this is a real organization" before citing.
- Google rich results — stars, FAQ accordions, breadcrumbs, sitelinks — all unlock through specific schema types.
- Schema that's present but invalid is silently ignored. Validation is half the win.
- Schema also forces clarity: writing it forces you to articulate the page's entity in unambiguous terms.
Want the full story across every page?
The Schema Markup Checker checks one URL. CrawlTide audits your whole site, tracks issues over time, watches your AI Visibility weekly, and pushes meta-tag fixes straight to your CMS.
No credit card. Free tier covers a small site end-to-end.
Frequently asked questions
Does this validate against schema.org's full spec?
Should every page have schema?
What's the highest-ROI schema to add first?
Will adding FAQPage schema actually help with AI engines?
Can you have too much schema?
How is this different from Google's Rich Results Test?
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