Free Structured Data & Schema.org Validator
Validate your page's JSON-LD, Microdata, and RDFa structured data. Check Schema.org types, required properties, and get AI readability recommendations.
Why Structured Data Matters
Structured data is the machine-readable layer that AI systems rely on to understand your brand, products, and content. Well-implemented schema markup improves AI visibility, earns rich results, and ensures accurate brand representation.
Why It Matters for AI
- AI models use structured data to verify and cite your brand
- Schema markup enables rich results in Google and Bing
- Missing schemas lead to inaccurate AI-generated descriptions
What We Check
- JSON-LD, Microdata, and RDFa extraction
- Schema.org type validation and property checks
- Required and recommended property coverage
Frequently Asked Questions
Structured data is machine-readable code (like JSON-LD) added to your HTML that helps search engines and AI models understand your content. It uses the Schema.org vocabulary to describe entities like organizations, products, articles, and events. AI systems like ChatGPT, Claude, and Google Gemini heavily rely on structured data to accurately represent your brand and content in their responses.
JSON-LD (JavaScript Object Notation for Linked Data) is a script-based format that sits in your page's <head> section. Microdata uses HTML attributes (itemscope, itemtype, itemprop) inline with your content. RDFa uses attributes like typeof and property. JSON-LD is the recommended format by Google because it's easier to implement, maintain, and doesn't require changes to your HTML structure.
At minimum, every website should have an Organization or LocalBusiness schema with your name and URL. Beyond that, add schemas that match your content: Article or BlogPosting for blog posts, Product for e-commerce, FAQPage for FAQ sections, BreadcrumbList for navigation, and Event for events. The more accurately you describe your content, the better AI models can represent it.
Required properties are the minimum fields needed for a schema type to be valid and useful — for example, an Organization needs "name" and "url". Recommended properties are optional but improve richness — like "logo", "sameAs", and "contactPoint" for Organization. Adding recommended properties increases the chances of earning rich results in search and better representation in AI responses.
AI models use structured data to understand entity relationships, verify factual claims, and provide accurate citations. When your site has well-structured schema markup, AI assistants are more likely to mention your brand correctly, display accurate business information, and link to your content. Missing or incorrect structured data can lead to AI models misrepresenting your business.
Yes. GeoVector's Structured Data Checker is completely free with no sign-up required. You can scan any URL and get instant results with actionable fix recommendations. For site-wide audits and ongoing monitoring, GeoVector offers premium plans.