E-E-A-T
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) are quality signals that influence how AI systems evaluate and cite sources.
Definition
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Originally a Google quality guideline, these signals are equally important for GEO. AI systems evaluate these factors when deciding which sources to cite, prioritizing content from demonstrated experts with real-world experience.
Why It Matters
Strong E-E-A-T signals increase your citation probability. AI systems aim to provide accurate, trustworthy information and prefer citing authoritative sources.
How to Test with TestMyGEO
TestMyGEO evaluates E-E-A-T signals including author credentials, site reputation, content accuracy, and trust indicators.
Best Practices
- Display author credentials and expertise
- Include real-world experience and case studies
- Get cited by other authoritative sources
- Maintain accurate, well-researched content
- Build a trustworthy site reputation
Common Mistakes to Avoid
- Anonymous or uncredited content
- Making claims without evidence
- Lacking author pages and credentials
- Ignoring trust signals like HTTPS and reviews
Frequently Asked Questions
Does E-E-A-T matter for AI citations?
Yes, AI systems prioritize citing trustworthy, expert sources. Strong E-E-A-T signals increase your content's citation probability.