Structured data is a standardized markup format (Schema.org) that helps search engines and AI understand web page content precisely and unambiguously.
What is Structured Data?
Structured data is a standardized markup system that describes web page content in a machine-readable format. Based on the Schema.org vocabulary, it enables search engines and AI to precisely understand what a page is about: content type, author, price, reviews, FAQ, etc.
Most common types of structured data
- Organization: Information about your business (name, logo, contact, social media)
- LocalBusiness: For local businesses (address, hours, service area)
- Product: Product descriptions (price, availability, reviews)
- FAQPage: Structured Q&A pages
- Article / BlogPosting: Articles and editorial content
- Review / AggregateRating: Reviews and ratings
- HowTo: Step-by-step tutorials
Impact on SEO and AI visibility
Structured data has a dual impact:
- Google rich snippets: Enhanced display in results (stars, prices, FAQ)
- AI comprehension: Conversational AIs more easily extract structured information to generate their responses
- Featured snippets: Structured data increases chances of appearing in position zero
Structured Data and AI Labs Audit
AI Labs Audit's GEO Score automatically checks the presence and quality of your structured data (Schema.org, Open Graph, canonical) and generates recommendations for improvement.