What is E-E-A-T?
TL;DR
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's quality framework that AI models also use to evaluate which sources to trust and cite.
Last updated: 2026-03-09
Definition#
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It is a framework from Google's Search Quality Rater Guidelines that defines what makes a web page high-quality.
Experience means the content creator has first-hand experience with the topic. Expertise means they have the knowledge or skills to write about it. Authoritativeness means the creator or site is recognized as a go-to source. Trustworthiness means the content and site are reliable and honest.
E-E-A-T is not a single algorithm or ranking factor. It is a set of quality signals that Google's algorithms try to detect. These include author credentials, site reputation, citation patterns, content accuracy, and user trust indicators.
Why It Matters for AI Readiness#
AI models apply similar quality assessments when choosing sources to cite. A site that demonstrates expertise, provides author information, earns backlinks from authoritative sources, and maintains transparent business information is more likely to be cited.
The AgentReady™ scanner evaluates E-E-A-T signals through two factors: Authority & Trust and Topic Clarity. See How to Build Authority Signals for practical improvements.
Related Concepts#
E-E-A-T is assessed through Authority & Trust signals, demonstrated through Content Quality, and supported by Structured Data that makes author and organization information machine-readable.
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