E-E-A-T — Experience, Expertise, Authoritativeness, and Trustworthiness — has been a core Google quality signal for years. Now AI search engines use similar credibility signals to decide which sources to cite in their responses.
Why AI Cares About E-E-A-T
When an AI assistant generates a response, it needs to evaluate which sources are reliable enough to cite. It can't just pick the first result — it needs to assess whether the content comes from a credible source.
AI models look at:
Who wrote this?: Named authors with real credentials score higher than "Admin" or "Content Team"
Is this authoritative?: About pages, author bios, and organizational information build trust
Is this current?: Publication dates, "last updated" timestamps, and references to recent events
Is this sourced?: Citations, references, and links to credible sources
Named Authors Matter
One of the strongest E-E-A-T signals for AI is having named authors with real credentials. Generic bylines like "Content Team" or "Staff Writer" tell AI nothing about expertise.
A good author section includes:
• Full name
• Job title or credentials
• Brief bio demonstrating relevant expertise
• Links to other work or social profiles
How to Strengthen Your E-E-A-T
Experience
Show first-hand experience with your topic. Use original data, case studies, screenshots, and specific examples that only someone with real experience would have.
Expertise
Display credentials prominently. Author bios, "About" pages, and professional certifications all signal expertise to AI models.
Authoritativeness
Build your entity in AI's knowledge. Consistent NAP (Name, Address, Phone) data, Organization schema, and mentions across authoritative sites help.
Trustworthiness
Cite your sources. Link to studies, reference data, and provide transparent methodology when making claims.
Check Your E-E-A-T Signals
UNHIDE.ME's scanner evaluates your E-E-A-T signals including author credibility, about page presence, and source citations as part of its comprehensive GEO analysis.