Trust & E-E-A-T Branch

E-E-A-T Audit for AI Search: Are You Trustworthy Enough to Cite?

AI engines need to verify who you are, what you know, and why they should trust you. We audit the signals that prove it — across 20% of your AI Readiness Score.

E-E-A-T in the AI Era

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It's Google's framework for evaluating content quality — and it's now the dominant framework AI engines use to decide which sources to cite.

For AI search specifically, E-E-A-T has to be structured. Great writing alone doesn't carry — AI engines need verifiable, machine-readable proof that your content is trustworthy.

85%
Of AI-cited content comes from sources with strong E-E-A-T signals (Surfer SEO)

AI engines read signals programmatically — they need structured proof, not just great writing.

What the E-E-A-T Branch Audits

Author Attribution

  • Visible byline on every article
  • Person schema with full identity
  • Author bio with credentials
  • Expertise tied to article topic
  • Multiple articles by the same author

Publication & Update Dates

  • datePublished visible on page + in schema
  • dateModified recent and accurate
  • Consistency between visible and schema dates
  • No stale 2019-style dates on active content

Organizational Trust

  • About page present and detailed
  • Contact info (email, address) published
  • Privacy policy and terms linked
  • Organization schema site-wide
  • Consistent brand identity across pages

Content Credibility

  • External source citations for claims
  • Attributed stats with working links
  • No unverified or speculative claims
  • Balanced, non-promotional language

The Machine-Readable Trust Chain

1Visitor or AI Engine lands on your page
2Reads the article content
3Verifies author identity via Person schema
4Confirms author's organization affiliation
5Checks organization credibility
6Validates content freshness (dateModified)
=Decides whether to cite

Breaking any link breaks citation likelihood.

E-E-A-T Signals Ranked by Impact

1
Author byline + Person schema
highest
2
dateModified within the last 90 days
very high
3
Organization schema with logo + URL
very high
4
About page + published contact info
high
5
External source citations for claims
high
6
Author's other articles linked on-site
medium
7
Author's sameAs profiles (third-party verification)
medium
8
Privacy policy + terms links
baseline

Fix priority: Start with 1-4. Those four alone can move your E-E-A-T branch score from 3 to 8.

Common E-E-A-T Failures

Ghost Author Problem

Content published under "Admin," "Team," or with no byline at all.

Fix:Add named authors with Person schema. Even one consistent author is a major improvement.

Stale Date Problem

dateModified is from 2022 — content hasn't been touched in years.

Fix:Review quarterly. Update dateModified when you refresh content — even minor edits count.

Missing Organization

No Organization schema, no About page, no visible company info.

Fix:Add Organization schema site-wide and publish a real About page with verifiable details.

Unsourced Claims

Stats and assertions with no attribution or broken source links.

Fix:Cite primary sources. Link to studies, reports, or original data — AI follows those links.

E-E-A-T for Different Content Types

Content TypeCritical SignalWhy
Medical / healthAuthor credentials + medical reviewYMYL — high stakes
FinancialAuthor credentials + disclosuresYMYL + regulatory
LegalJurisdiction + qualificationsLiability + accuracy
Technical docsAuthor expertise + version datesFact-checkable
News / current eventsdateModified + primary sourcesFreshness critical
Product reviewsAuthor experience + disclosureFTC compliance
OpinionAuthor bio + track recordPersonal authority

Frequently Asked Questions

The framework is the same — Experience, Expertise, Authoritativeness, Trustworthiness — but the execution differs. Google uses a mix of human quality raters and algorithmic signals. AI engines have no quality raters. They read structured signals programmatically: Person schema, Organization schema, dateModified, linked sameAs profiles. To win AI citation, your E-E-A-T needs to be machine-readable, not just written in prose.

Anonymous authorship limits your AI citation potential significantly. AI engines prefer sources where they can verify who wrote the content and what their expertise is. If you must use pen names, at least create a Person schema block with a consistent identity, a bio page, and sameAs links to public profiles. Full anonymity is a real tradeoff — you keep privacy, you lose citation likelihood.

Very. Your About page is the canonical source of organizational trust. AI crawlers check it for: company name, location, founding date, team members, contact info, and any credentials or accreditations. A weak About page (or no About page) is one of the fastest ways to drop your Trust branch score. It's also one of the easiest fixes — one well-structured page can move your score from 4 to 8.

Yes — many E-E-A-T improvements are structural, not editorial. Add Person schema to existing authors. Add Organization schema to your site-wide template. Surface dateModified on existing articles. Add sameAs links to author bio pages. Link to sources for stats already in your content. None of these require new writing, and they can move your score several points in a weekend.

Related Features

Audit Your E-E-A-T Signals Free

Run a free audit and see exactly which trust signals are missing — with prioritized fixes for every branch.