Schema Analyzer
Detect all structured data on any page. Validate Organization, FAQPage, Article, HowTo, and BreadcrumbList schemas and see exactly what's missing — so you know which schema types to add to improve AI citation potential.
Check any URL — results in seconds
About this tool
What is structured data and why does it matter for AI?
Structured data (usually JSON-LD format) is machine-readable code you add to your pages that tells AI systems exactly what your content is about — whether it's an article, a FAQ, a product, a local business, or an organization. Without it, AI has to guess from your HTML. With it, AI can extract precisely the information it needs to cite you accurately.
Which schema types are most important for AI citations?
The highest-impact schema types are: Organization (for brand identity), FAQPage (for direct Q&A citations), Article/BlogPosting (for editorial content), HowTo (for step-by-step answers), and BreadcrumbList (for site hierarchy context). For e-commerce, Product schema is critical.
What's the difference between JSON-LD, Microdata, and RDFa?
All three are ways to add schema.org markup. JSON-LD is the preferred format — it lives in a <script> tag and is separate from your HTML, making it easy to add and maintain. Microdata and RDFa require you to embed attributes directly in your HTML elements. Google recommends JSON-LD and it's what most AI crawlers parse best.
Will adding schema guarantee AI will cite my page?
Schema significantly improves the likelihood of citations, but it's not sufficient on its own. AI systems also consider content quality, topical authority, and how well your content directly answers user questions. Think of schema as the packaging that makes good content easier to cite.
How do I validate my schema markup?
Use Google's Rich Results Test (search.google.com/test/rich-results) or Schema.org's Structured Data Validator. This tool checks for the presence of schema types — the validators above check for errors within those schemas.