What is E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)?
Definition & Overview
Originally introduced in Google's Search Quality Rater Guidelines, E-E-A-T evaluates whether content is written by first-hand experienced creators with proven domain authority.
Analogy & Mental Model
E-E-A-T is like checking a surgeon's medical license, hospital affiliation, and track record before undergoing an operation.
Why E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) Matters
High E-E-A-T scores protect websites from quality penalties and increase the likelihood of inclusion in Google AI Overviews and RAG citation indexes.
Concrete Real-World Application
Adding detailed author bio boxes with verified credentials, first-person case study screenshots, and peer-review disclosures.
How E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) Works
Assessed through on-page author credentials, third-party reviews, and link citations.
Core Components & Mechanisms
Experience Signals
Providing first-hand photos, original video walkthroughs, and unique usage data.
Expertise Signals
Attributing articles to credentialed subject matter experts with Person schema.
Trustworthiness Foundation
Maintaining clear contact information, privacy policies, secure HTTPS, and accurate facts.
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) vs Author Authority
E-E-A-T evaluates overall quality and trust across an entire document or brand, whereas Author Authority focuses specifically on the verified experience and credentials of the writer.
Frequently Asked Questions
Does E-E-A-T apply to AI-generated content?
Yes. Google states that AI content must adhere to E-E-A-T standards; unreviewed AI content lacking human expertise risk quality downgrades.
Articles & Research Referencing E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)
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