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.

🎓 Expertise
  • • Author credentials
  • • Professional experience
  • • Subject matter knowledge
  • • Industry recognition
⚡ Authoritativeness
  • • Domain reputation
  • • Quality backlinks
  • • Industry citations
  • • Brand recognition
🔒 Trustworthiness
  • • Source citations
  • • Fact accuracy
  • • Transparency
  • • Regular updates

Why E-A-T Matters for AI Citations

🤖
AI Quality Filters: ChatGPT, Claude, and Perplexity use E-A-T signals to filter low-quality or unreliable sources
📊
Citation Ranking: Pages with strong E-A-T signals are prioritized when AI systems select sources to cite
🎯
Topic Authority: Domain expertise in specific topics increases likelihood of citations for related queries
🔍
Verification: Strong E-A-T signals help AI verify information accuracy before citing

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  • • Outdated content without update dates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

Ready to Improve Your E-A-T Signals?

Start with our Citation Worthy Score tool to get a comprehensive E-A-T analysis