E-E-A-T Signals
Learn how GEOAudit checks author bios, credentials, publication dates, editorial policies, and trust signals for AI agent content evaluation.
What We Check
GEOAudit checks the Experience, Expertise, Authoritativeness, and Trustworthiness signals that AI agents evaluate. We validate author bio presence and completeness, author schema markup (Person with credentials), publication and modification dates, editorial policy or methodology pages, source citations and references, expertise indicators (credentials, qualifications), about page linkage, contact information availability, and review or correction policies. These signals help AI agents determine content trustworthiness.
How We Score
E-E-A-T Signals carry a 6% weight in the overall score. Each check produces pass, warn, or fail. Key assessments include: author bio presence, author schema with credentials, publication date, modified date, editorial policy link, source citations in content, and contact information. Pages without any author attribution score significantly lower since AI agents treat anonymous content as less trustworthy.
Why It Matters
AI agents are increasingly sophisticated about evaluating content quality. Google's Search Quality Rater Guidelines (E-E-A-T) directly influence how AI models assess content. Pages with clear author credentials, publication dates, editorial policies, and source citations are treated as more trustworthy by AI systems. When AI agents need to choose between multiple sources to cite, strong E-E-A-T signals are often the deciding factor.
How to Improve
Add detailed author bios with credentials, experience, and expertise. Include Person schema for authors with jobTitle, worksFor, and sameAs properties. Display publication and last-modified dates prominently. Link to an editorial policy or methodology page. Cite credible sources throughout your content. Add a visible About page and Contact page. Include review and correction policies. For YMYL (Your Money, Your Life) content, author credentials are especially critical.
Frequently Asked Questions
What is E-E-A-T and why does it matter for AI?
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. AI agents use these signals to evaluate content quality and decide what to cite. Strong E-E-A-T signals increase your chance of being sourced by AI assistants.
Do author bios really help with AI discoverability?
Yes — author bios with credentials tell AI agents that a real, qualified person wrote the content. Combined with Person schema, author pages, and sameAs links, author attribution significantly increases AI trust and citation probability.
Why are publication dates important for E-E-A-T?
Publication and modification dates help AI agents assess content freshness and relevance. Regularly updated content with visible modification dates signals that the information is maintained and current, boosting AI trust.
What is an editorial policy and do I need one?
An editorial policy describes your content standards, fact-checking process, and correction procedures. It signals to AI agents that your content goes through a quality control process. For publishers and content-heavy sites, it's a strong trust signal.
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