Structured Data
Structured data is a standardized format for providing explicit information about your content to search engines and AI systems.
Definition
Structured data uses schemas (like Schema.org) to explicitly describe your content's meaning, relationships, and attributes. While originally designed for search engines, structured data also helps AI systems understand your content more accurately, improving the likelihood of correct citations.
Why It Matters
Structured data removes ambiguity, helping AI systems understand exactly what your content is about. This leads to more accurate retrieval and citation.
How to Test with TestMyGEO
TestMyGEO analyzes your structured data implementation and identifies opportunities to improve AI understanding through better schema markup.
Best Practices
- Implement relevant Schema.org types
- Use Article, FAQPage, HowTo schemas
- Include author and organization markup
- Add product and review schemas where relevant
- Validate structured data regularly
Common Mistakes to Avoid
- Missing structured data entirely
- Using incorrect schema types
- Incomplete or inaccurate markup
- Not updating schemas with content changes
Frequently Asked Questions
Does structured data help with AI citations?
Yes, structured data helps AI systems understand your content precisely. Clear entity relationships and content types improve retrieval accuracy.