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
- Author pages with receipts. Bio, credentials, social, external work, contact.
- Visible editing process. “Reviewed by [name], [credential]” at the top or bottom of articles.
- Editorial policy page. Who writes. Who edits. How fact-checks happen. How corrections are handled.
- Sources section. Cite primary sources. Link out.
- About page. Real team, real photos, real history.
- 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
Audit current signals
Inventory authors, credentials, contact info, editorial policy, sourcing patterns, and review processes.
- 2
Build author pages
Every author gets a dedicated page with bio, credentials, social profiles, and link to external work.
- 3
Add visible credentials
On-page, in bylines, in structured data. The user and the parser should both see them.
- 4
Document the editorial process
A clear, public editorial policy. Who writes. Who edits. Who fact-checks.
- 5
Earn third-party validation
Reviews, mentions, awards, citations. Off-site trust signals.