E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. It is the standard that the human raters hired by Google use to judge the quality of a page. It is not a ranking factor: it describes the quality that Google's algorithms are built to reward.
The distinction matters more than it seems, and it is where almost every guide slips. There is no "E-E-A-T score" inside the algorithm. There is a document, the Search Quality Rater Guidelines (the current version dates from September 2025), that thousands of contractors use to rate pages. Those ratings do not move any individual site's rankings: they are used to train and check the systems that actually decide rankings.
In practice, E-E-A-T is not a lever to pull. It is a target to resemble.
What the four letters mean
Experience: first-hand knowledge
Has the writer used the product, visited the place, dealt with the problem? It is the newest letter and the hardest to fake. A review of a machine written by someone who has taken it apart has a value that no rewrite of spec sheets can match.
Expertise: knowledge of the subject
Formal or practical knowledge of the subject. Medical content needs a qualification; a guide to repairing a roller shutter box needs someone who has repaired a good number of them. Google distinguishes between formal expertise and "everyday" expertise, and for many queries the second is more than enough.
Authoritativeness: recognition from others
The recognition the rest of the sector gives the author or the site. It is built outside your own domain: citations, mentions, links from sources that matter. It is the pillar closest to link building and brand building.
Trustworthiness: reliability
The T is the centre of the model, not the fourth item on a list. A site can have experience, expertise and authority and still be untrustworthy: no contact details, unclear terms of sale, wrong information. Without trust, the other three do not make up the difference.
From E-A-T to E-E-A-T: why the second E was added
The model started as E-A-T in 2014 and kept three letters for eight years. At the end of 2022 Google added Experience, acknowledging that for a great many searches lived experience meets the intent better than theory: someone searching "how does this software handle large files" wants to know what happened to people who tried it, not what the documentation promises.
The strategic reading is more interesting than the timeline. Once producing correct, well-structured text becomes almost free, the one thing that cannot be generated on demand is having actually done something. Adding the E moved the quality bar to where scale cannot reach.
YMYL: where the bar goes up
YMYL stands for Your Money or Your Life and covers topics where wrong information can do real harm: health, finance, safety, legal matters. On these topics raters apply much stricter criteria, and the algorithms are tuned to be more cautious as a result.
The September 2025 update to the guidelines widened the scope: the category covering society was redefined to include elections, institutions and civic topics explicitly, and a section on rating AI Overviews was added.
If your sector falls under YMYL (think of businesses in healthcare or finance), the author's identity, the sources cited and corporate transparency stop being an editorial detail and become a precondition for appearing in the SERPs at all.
How to demonstrate E-E-A-T in practice
Content does not "have" E-E-A-T: it shows it through signals that can be checked. These are the ones that move the needle.
- A real, identifiable, consistent author. Name, role, qualifications, a reachable bio page, and the same identity recurring on LinkedIn and in external sources. A generic author box adds nothing.
- Evidence of first-hand experience. Your own photos, screenshots of your own tools, figures from real projects, details only someone who has done the work would know. It is the hardest signal to fake and the one most rewarded.
- Original data. An analysis of your own data is worth more than ten citations of other people's research, and it attracts citations in turn.
- Company transparency. Registered company name, company number or VAT number, address, real contact details, terms and privacy notice. Basic, and often missing.
- Cited, checkable sources. Link non-obvious claims to a primary source, not to another blog repeating the same thing.
- Reviews and external feedback. Reputation off the site is part of the assessment: see the role of reviews in off-page SEO.
- Visible maintenance. A genuine last-reviewed date, content updated when the topic moves. A page untouched for four years on a subject that changes every six months is a trust problem, not a freshness problem.
- Consistent structured data. Marking up author, organisation and content helps machines join the dots: see the guide to schema markup.
E-E-A-T and AI-generated content
Google does not penalise content because it was produced with AI: it judges the result. The questions are always the same three: who made it, how, and why it exists. Generated text that has been checked by a competent person, enriched with real experience and published under a verifiable byline can hold up perfectly well. Generated text published as it is, with nobody putting their name to it, has nothing to show on any of the four letters.
That is exactly the difference that separated winners and losers in the most recent core updates, including the March 2026 one. We cover the subject in more depth in AI content and Google and in algorithm updates.
Why E-E-A-T matters even more in answer engines
When the answer is synthesised by a generative system, traffic is not spread across ten results: it concentrates on the few sources that get cited. And the criteria for being a citable source look very much like the four pillars: a claim attributable to someone, checkable, and consistent with what the rest of the web says about the same organisation.
In other words, E-E-A-T stops being a ranking issue and becomes a citability issue. It is the bridge between classic SEO and GEO work, and one of the reasons it makes sense to treat AEO and SEO as a single system.
Five common mistakes
- Treating it as a technical checklist. Adding a made-up author box does not create expertise.
- Signing everything "Editorial team". It removes any chance of showing experience and expertise.
- Confusing authority with link volume. One citation from a recognised source in your sector is worth more than fifty off-topic links.
- Ignoring the T. It is the load-bearing pillar: without trust, the other three do not add up.
- Expecting immediate effects. Trust signals build up over long periods and show mostly around core updates.
Frequently asked questions
Is E-E-A-T a ranking factor?
No. It is the assessment standard described in the quality rater guidelines, and the raters' scores are used to train and check ranking systems, not to change a page's position directly.
What is the difference between E-A-T and E-E-A-T?
E-E-A-T adds Experience, first-hand experience of the subject, to the three-pillar model introduced in 2014. The addition dates from the end of 2022.
How do you measure your site's E-E-A-T?
There is no official score, and the "E-E-A-T scores" some tools sell are proprietary estimates. The useful approach is a qualitative audit: whether authors are present and verifiable, company transparency, quality of sources, external reputation, how up to date the content is.
Does it apply to B2B sites too?
Yes, and especially so: in B2B, decision makers research thoroughly before getting in touch, compare several sources and check who is behind the company. Demonstrable experience counts as much as rankings.
A site that proves what it claims
Visilay works with Italian and Swiss businesses on SEO, AEO/GEO and Google Ads. E-E-A-T is not a module to bolt on at the end of a project: it is how the content architecture is set up from the start.
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In the legal sector, experience and authority signals overlap with what the regulator requires firms to publish: in England and Wales, the SRA Transparency Rules ask firms to display the SRA digital badge and publish information on their regulation, complaints procedure and, for certain services, prices. How this turns into pages that rank is explained in SEO for lawyers.
