E-E-A-T

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is a framework used by Google to evaluate content quality. These same signals are increasingly important for AI visibility, as language models are trained to prioritize trustworthy, authoritative sources.

The Four Components:

Experience

• First-hand knowledge of the topic
• Practical application and real-world usage
• Personal insights and unique perspectives
• Case studies and original research

Expertise

• Subject matter knowledge and qualifications
• Credentials and professional background
• Depth of content coverage
• Technical accuracy

Authoritativeness

• Industry recognition and reputation
• Citations from other authoritative sources
• Brand awareness and longevity
• Awards, certifications, partnerships

Trustworthiness

• Accurate, factual information
• Transparent about sources and methods
• Clear contact information and policies
• Secure website (HTTPS)
• Positive reputation and reviews

How to Demonstrate E-E-A-T for AI:

• Include detailed author bios with credentials
• Link to authoritative sources and research
• Display dates and update frequency
• Show social proof (reviews, testimonials)
• Maintain consistent, accurate information
• Use schema markup to highlight credentials

E-E-A-T signals help both traditional search engines and AI systems evaluate whether your content should be trusted and cited.