// E-A-T Signals for AI Citations
Master Expertise, Authoritativeness, and Trustworthiness optimization
// What is E-A-T?
E-A-T (Expertise, Authoritativeness, Trustworthiness) is a framework used by AI systems like ChatGPT, Claude, and Perplexity to evaluate content quality and decide which sources to cite. Learn the complete definition and how to apply E-E-A-T signals in our comprehensive guide.
- • Author credentials
- • Professional experience
- • Subject matter knowledge
- • Industry recognition
- • Domain reputation
- • Quality backlinks
- • Industry citations
- • Brand recognition
- • Source citations
- • Fact accuracy
- • Transparency
- • Regular updates
// Why E-A-T Matters for AI Citations
// E-A-T Optimization Tools
Citation Worthy Score
Comprehensive E-A-T analysis measuring Expertise, Authoritativeness, and Trustworthiness signals.
Authority Signal Checker
Analyze author credentials, publication dates, and source citations - key trust indicators for AI.
Schema Markup Generator
Add structured data that signals expertise and authority to AI systems.
// E-A-T Best Practices
Do:
- • Add detailed author bios with credentials and experience
- • Include publication and update dates on all content
- • Cite authoritative sources and link to reputable sites
- • Display contact information and about pages
- • Use schema markup to highlight author and organization info
- • Keep content accurate and regularly updated
Avoid:
- • Anonymous or fake author names
- • Outdated content without update dates
- • Unsupported claims without citations
- • Hidden or misleading contact information
- • Copying content from other sources
- • Exaggerating credentials or expertise