Structured data
Standardized code formats (like JSON-LD) that help AI engines understand the content and context of web pages.
Structured data is standardized markup added to web pages that helps search engines and AI systems understand the content's meaning, context, and relationships. The most common format is JSON-LD using Schema.org vocabulary.
Why structured data matters for AI search
AI engines use structured data to:
- Understand content type: Is this an article, product, FAQ, or recipe?
- Extract key facts: Author, date, price, ratings, ingredients, etc.
- Build knowledge graphs: Connect entities and relationships
- Generate rich responses: Use structured facts in synthesized answers
Common schema types for GEO
- Organization: Company details, logo, social links
- Article: Author, publication date, word count, categories
- FAQPage: Question-answer pairs
- Product: Price, availability, reviews
- HowTo: Step-by-step instructions
- WebApplication: Software tools and features
- BreadcrumbList: Site hierarchy and navigation
Implementing structured data
The recommended format is JSON-LD (JavaScript Object Notation for Linked Data), embedded in your page's HTML:
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Your Brand",
"url": "https://yourbrand.com"
}
Structured data and AI visibility
Pages with comprehensive structured data are more likely to be:
- Correctly understood by AI engines
- Cited in AI-generated responses
- Featured in rich results and AI Overviews
- Used as authoritative sources for factual queries
