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QualityIntermediate 13 min

E-E-A-T: How Google Really Evaluates Trust

Experience, expertise, authority, trust — how to signal each one without gaming the system.

E-E-A-T — Experience, Expertise, Authority, Trust — is the framework Google’s Quality Raters use to evaluate content. It is not an algorithm. It is a rubric. This guide shows how to translate the rubric into signals your site can actually ship.

Why E-E-A-T matters

Google does not score sites on E-E-A-T directly. But the Quality Raters use E-E-A-T to evaluate whether the algorithm is doing a good job. Their assessments shape what Google optimizes for. Ignoring E-E-A-T is ignoring the meta-layer of search.

The four letters, decoded

Experience

Has the author actually done the thing the article is about? First-hand experience is the new “freshness”. The signals:

  • First-person voice: “I ran this test”, not “studies have shown”.
  • Original screenshots, original data, original photos.
  • Specificity: numbers, dates, named tools, named people.
  • Visible receipts — links to GitHub, dashboards, results.

Expertise

Does the author have formal or demonstrable knowledge in the topic? The signals:

  • Bylines with credentials: “Jane Doe, MD”, “John Smith, 12 years SEO”.
  • Author pages with bio, credentials, prior publications.
  • Correct technical terminology.
  • Citation of primary sources — peer-reviewed papers, official docs.

Authority

Is the author and the site recognized in the space? The signals:

  • External citations, mentions, links from authoritative sites.
  • Speaker bios at industry events.
  • Wikipedia presence (where appropriate).
  • Brand search volume.

Trust

Is the site transparent, accurate, and safe? The signals:

  • Visible contact information.
  • Clear editorial policy.
  • HTTPS, no malware, no deceptive ads.
  • Visible corrections and update history.
  • Accurate, cited facts.

The “Your Money or Your Life” angle

Google applies a higher E-E-A-T bar to YMYL pages — anything that could affect a person’s health, finances, safety, or civic well-being. Medical advice, financial advice, legal advice, civic information. If you operate in a YMYL niche, E-E-A-T is not optional.

How to ship E-E-A-T signals

  1. Author pages with receipts. Bio, credentials, social, external work, contact.
  2. Visible editing process. “Reviewed by [name], [credential]” at the top or bottom of articles.
  3. Editorial policy page. Who writes. Who edits. How fact-checks happen. How corrections are handled.
  4. Sources section. Cite primary sources. Link out.
  5. About page. Real team, real photos, real history.
  6. Contact page. Real address, real phone, real form. Not just a generic email.

The “is AI content OK” question

Google has stated that AI content is fine if it is helpful and trustworthy. The E-E-A-T signals apply equally. The trap: AI-generated content with no review, no author attribution, no sources, no updates — content that would fail E-E-A-T even if a human wrote it.

Common E-E-A-T failures

  • Anonymous content. No author, no bio.
  • Stale content. Articles from 2017 still ranking with no updates.
  • Generic advice. “10 tips” that could apply to anything.
  • Uncited claims. Statistics without sources.
  • Hidden ownership. No about page, no contact, no business address.

Wrap-up

E-E-A-T is not a checklist. It is a posture. Build the signals — author pages, editorial policy, sourcing, contact — and trust follows. The competitive moat: most sites ship none of these.

Step-by-step

  1. 1

    Audit current signals

    Inventory authors, credentials, contact info, editorial policy, sourcing patterns, and review processes.

  2. 2

    Build author pages

    Every author gets a dedicated page with bio, credentials, social profiles, and link to external work.

  3. 3

    Add visible credentials

    On-page, in bylines, in structured data. The user and the parser should both see them.

  4. 4

    Document the editorial process

    A clear, public editorial policy. Who writes. Who edits. Who fact-checks.

  5. 5

    Earn third-party validation

    Reviews, mentions, awards, citations. Off-site trust signals.