E-E-A-T: what Google actually says it is
E-E-A-T is the most quoted and most misquoted concept in content SEO. The evidence supports a narrower reading than most advice assumes.
Last reviewed: 2026-09-15
Two claims about E-E-A-T (experience, expertise, authoritativeness, trust) clear our evidence bar as written: Google’s current people-first-content guidance says E-E-A-T itself is not a specific ranking factor, and that its systems instead use a mix of factors that can identify content demonstrating aspects of it. Both matter: “improve your E-E-A-T score” is not a thing you can do, but producing content whose experience and expertise are identifiable is.
The human-evaluation side
It is also supported that Google described its quality raters as researching external credentials, references, reviews and reputation when judging an author’s subject-matter expertise. Reputation is assessed outside your own site — which is why an about page, real author identity and consistent business facts across the web are practical work, not decoration.
What remains unsettled
Two related, widely repeated claims — that trust is the most important component within E-E-A-T, and that stronger E-E-A-T-related signals receive greater emphasis for YMYL topics — sit in our evidence base without a completed final evaluation. We track them, we do not assert them. This distinction is the point of the whole system: plausible is not the same as established.
Editory’s recommendation
Skip anything marketed as an E-E-A-T score. Make experience and expertise visible in the content itself, keep author and business identity real and verifiable, and build the off-site reputation that raters — and ranking systems reading the same web — can find.
Common misconceptions
“E-E-A-T is a ranking factor you can optimize directly.”
Google’s own guidance, evaluated and supported in our evidence base, says E-E-A-T itself is not a specific ranking factor — systems look for a mix of signals that identify such content.
What the engine does
audit:onpage:metaThe on-page audit checks every published page for a real title, meta description, heading structure and image alt text — the identifiability layer that lets both people and systems see who is saying what.
renderer:jsonld:organizationThe renderer emits Organization / LocalBusiness structured data from published content, making the business identity machine-readable.
Evidence
The claims behind this page, with their status in the evidence release. Click a claim for its sources.
Supported — asserted as written
Google’s current people-first-content guidance says E-E-A-T itself is not a specific ranking factor.Supported
Claim ID: clm_019ff24f-5109-7562-adcf-77b58ea7a287
Sources
- Creating helpful, reliable, people-first content — Google Search Central (developers.google.com) · primary source
“While E-E-A-T itself isn't a specific ranking factor, using a mix of factors that can identify content with good E-E-A-T is useful”
- Creating Helpful, People-First Content for Google Search & AI Assistants in 2026 — Ethan Lazuk
“As Google Search Central says in its helpful content documentation: “While E-E-A-T itself isn’t a specific ranking factor”
- User-first E-E-A-T: What actually drives SEO and GEO — Search Engine Land
“E-E-A-T is not a measurable score or a direct ranking factor.”
Google’s current people-first-content guidance says its systems use a mix of factors that can identify content demonstrating aspects of E-E-A-T.Supported
Claim ID: clm_019ff24f-5109-72d9-a646-48c530db0913
Sources
- Creating helpful, reliable, people-first content — Google Search Central (developers.google.com) · primary source
“they identify a mix of factors that can help determine which content demonstrates aspects of experience, expertise, authoritativeness, and trustworthiness”
- Google Search's guidance about AI-generated content — Google Search Central Blog · primary source
“Creators can learn more about the concept of E-E-A-T on our Creating helpful, reliable, people-first content help page.”
- Automatically generating and ranking results — Google Search · primary source
“they identify signals that can help determine which content demonstrates expertise, authoritativeness, and trustworthiness.”
- Our latest update to the quality rater guidelines: E-A-T gets an extra E for Experience — Google Search Central · primary source
“E-E-A-T — or "Double-E-A-T," if you prefer, is now part of the updated search rater guidelines”
Google described quality raters as researching external credentials, references, reviews, and reputation when judging whether an author has subject-matter expertise.Supported
Claim ID: clm_019ff24f-5109-7e90-bdd5-8cb13d84cdd6
Sources
- Search Quality Evaluator Guidelines (General Guidelines, September 11, 2025) — Google · primary source
“While conducting reputation research, you may find information about the expertise of the content creator”
- How insights from people around the world make Google Search better — Google · primary source
“author has cooking credentials, has been profiled or referenced on other food websites”
- Quality Rater Guideline: Crib Notes to E-E-A-T — iPullRank
“Raters are asked to research the external reputation of a website and the organization behind it.”
- Overview of Google's Search Quality Rater Guidelines — Portent
“Quality Raters are asked to investigate the website, the author, and their reputation”
Tracked — not yet established
Google’s current people-first-content guidance describes trust as the most important component within E-E-A-T.Under evaluation
Claim ID: clm_019ff24f-5109-7af9-9f07-73b6232853af
Google’s current people-first-content guidance says stronger E-E-A-T-related signals receive greater emphasis for YMYL topics.Under evaluation
Claim ID: clm_019ff24f-5109-7bb6-b251-e4675d5c9e7c
Related topics
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Every word-count claim in our evidence base — for and against — is still unproven at our evidence bar. This page exists to show what that means in practice.
Local ranking: what actually moves the map pack
Editory builds sites for local businesses, so we hold local-ranking advice to the evidence. Here is what current sources support — and the single-factor claims our evaluation found to be wrong.