Schema markup validator
Check your website's JSON-LD structured data and see how well AI engines can understand your content. Get specific recommendations to improve your schema markup for better AI visibility.
Features
- Validate JSON-LD structured data on any URL
- Check for Organization, Article, FAQ, Product, and other schemas
- AI-specific recommendations (what schemas help AI engines most)
- Completeness score for each schema type
- Common error detection and fix suggestions
- Side-by-side comparison with competitor pages
How it works
- 1Enter a URL to validate
- 2We fetch the page and extract all JSON-LD structured data
- 3Each schema is validated against Schema.org specifications
- 4You receive a report with scores, errors, and AI-specific recommendations
Frequently asked questions
Which schema types are most important for AI?
Organization (brand identity), Article (content), FAQPage (Q&A content), Product (e-commerce), and BreadcrumbList (site structure) are the most impactful for AI visibility.
Does structured data directly improve AI visibility?
While AI engines don't use structured data the same way Google does for rich results, comprehensive schema markup helps AI engines accurately understand your content, brand, and offerings — which improves how they reference you in responses.
What's the difference between this and Google's testing tool?
Google's tools focus on valid schema for rich results. Our tool evaluates schema from an AI visibility perspective — checking for completeness and recommending schemas that specifically help AI engines understand your content better.
Validate your structured data
Check your schema markup and get AI-specific recommendations to improve visibility.
