Structured Data for AI Search: The Essential Schema Types
Organization, FAQPage, Article and Product schema help AI systems understand and cite your business. Here's how to implement and validate them.
Structured data is machine-readable information added to your pages, usually as JSON-LD. It tells search engines and AI systems exactly what your page is about, removing guesswork.
Why AI Systems Rely on It
Large language models and retrieval systems process huge amounts of text. Structured data gives them clean facts: your company name, what you sell, prices, FAQs and authors. Clean facts are easier to trust and easier to cite.
The Essential Schema Types
Organization
Defines your brand: name, URL, logo, contact email and social profiles. This is the foundation of entity recognition.
FAQPage
Marks up question and answer pairs. The answers must also be visible on the page, not hidden.
Article
Adds headline, author, publish date and image to blog posts, which supports E-E-A-T.
SoftwareApplication or Product
Describes your product, category, pricing and rating.
Common Mistakes
- Marking up FAQs that are not visible on the page
- Using different company names in schema and on the page
- Forgetting to update dates
- Adding schema with syntax errors
How to Validate
- Run your page through Google's Rich Results Test
- Check the Schema.org validator for errors
- Monitor the Enhancements report in Google Search Console
| Check | Tool |
|---|---|
| Rich result eligibility | Google Rich Results Test |
| Syntax errors | Schema.org Validator |
| Site-wide issues | Search Console Enhancements |
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