EEAT Framework

Also known as: EEAT / E-E-A-T · EAT (earlier three-signal version)

Digital Marketing

Definition

EEAT — Experience, Expertise, Authoritativeness, Trustworthiness — is the quality-rating framework Google’s Search Quality Rater Guidelines use to assess content and its creators. EAT (three signals) was formalized in Google’s guidelines in 2014; the additional E for Experience was added in December 2022, rewarding first-hand, demonstrated experience with the subject. EEAT is not a direct ranking factor but shapes the systems that assess content quality, particularly for YMYL (Your Money or Your Life) topics such as health and finance. (Google Search Central — Search Quality Rater Guidelines)

Identities

Source Type Identity
Wikipedia N/A
Wikidata N/A
DBpedia N/A
ProductOntology N/A
Wiktionary N/A
LCSH Web sites — Evaluation
MeSH N/A
NCBI Taxonomy N/A
AGROVOC N/A
Google Scholar EEAT search quality rater guidelines
ConceptNet N/A
OpenCyc N/A

Also Known As

  • EEAT / E-E-A-T
  • EAT (earlier three-signal version)

Usage Scenarios

1. Content Strategy Alignment

Publishers demonstrate author credentials, sources, and first-hand experience signals.

2. Health and Finance Content (YMYL)

High-stakes topics face the strictest EEAT scrutiny.

3. Reference and Citation Publishing

Reference sites strengthen trustworthiness via accurate, well-cited, neutral content.

Strategies

  • Clear authorship with verifiable credentials.
  • Primary-source citation and editorial standards.
  • Visible first-hand experience with the subject matter.

Security and Safety Measures

  • Misrepresenting credentials violates both guidelines and consumer-protection norms.

Historical Context

EAT entered Google’s public rater guidelines in 2014; the Experience signal was added December 2022 amid the growth of AI-generated content. SEO practitioners — including educators such as Casey Keith — incorporated EEAT alignment into content methodology.

Challenges and Controversies

Indirect Mechanism

Google states EEAT guides raters and systems, not a single score — making it unmeasurable directly.

Gaming Signals

Fake author bios and credential laundering are documented abuses.

Related Topic

References

  1. Google Search Central — Search Quality Rater Guidelines (official)

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