Short answer
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trust. It isn’t a ranking factor: it’s the framework Google’s quality raters use, and Google says trust matters most. For most small businesses the fix is to stop being anonymous.
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trust. It gets discussed as though it were a dial in the algorithm you can turn. It isn’t, and understanding what it actually is changes what you do about it.
What does E-E-A-T stand for?
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trust. Google treats trust as the centre of it, in its own words: “Of these aspects, trust is most important.” The other three letters are evidence that a page deserves that trust.
Experience — has whoever wrote this actually done it? Used the product, visited the place, run the process. This is the letter added in late 2022, and it was added at the point when fluent, confident, entirely second-hand content became trivially easy to produce.
Expertise — do they know the subject properly? Formal qualifications count where they exist. So does the plumber of twenty years who has never written an exam.
Authoritativeness — is this person or site a recognised source on the subject? This is the one that’s largely earned elsewhere, through other people citing and referencing you.
Trust — is the site accurate, transparent and safe to act on? Google’s wording is that “The others contribute to trust, but content doesn’t necessarily have to demonstrate all of them.” A recipe page doesn’t need a qualification; I’d say it does need to be honest about who wrote it.
Figure
Trust is the one that matters; the other three support it
Is E-E-A-T a ranking factor?
No. Google’s own documentation says: “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.” There’s no E-E-A-T score to raise, only signals that suggest a page is trustworthy.
That sentence is on Google’s page on creating helpful, reliable, people-first content. E-E-A-T describes what Google’s systems are trying to reward. The systems themselves look at many signals, and Google does not publish which ones, or how they’re weighted, for E-E-A-T.
No plugin, schema type or word count adds E-E-A-T to a page. The work that does help (named authors, first-hand examples, reviews, accurate sourcing) helps because it’s what those unnamed signals are built to detect.
How does Google assess E-E-A-T?
Google assesses E-E-A-T through people and systems separately. Human quality raters score search results against the Search Quality Rater Guidelines, and Google uses those scores to test whether its ranking systems are working. The raters can’t change how any individual page ranks.
Google is explicit about that last point: “Search raters have no control over how pages rank. Rater data is not used directly in our ranking algorithms.”
Its How Search Works site says the ratings “do not directly impact ranking, but they do help us benchmark the quality of our results” (rigorous testing).
The guidelines are public. The version I read, the General Guidelines PDF dated 11 September 2025, puts it plainly: “Trust is the most important member of the E-E-A-T family because untrustworthy pages have low E-E-A-T no matter how Experienced, Expert, or Authoritative they may seem.”
Google also publishes a shorter overview of the guidelines (November 2023) if the full document is more than you need.
What is the difference between E-A-T and E-E-A-T?
E-A-T became E-E-A-T in December 2022, when Google added Experience to its quality rater guidelines. E-A-T covered Expertise, Authoritativeness and Trustworthiness; the extra E asks whether the writer has first-hand experience of the subject, such as having used the product or visited the place.
Google announced it on the Search Central blog in a post titled E-A-T gets an extra E for Experience. The change recognises something expertise alone misses.
A qualified writer summarising other people’s reviews has expertise; someone who has owned the product for a year has experience. The guidelines treat both as evidence of trust, and a page doesn’t need both.
For a small business, I’d say experience is the easiest letter to show and the one most often left out: photos of your own work, the job that went wrong and what you changed, the numbers from your own projects.
What is YMYL?
YMYL stands for Your Money or Your Life: topics that could affect someone’s health, finances, safety or major life decisions. Google holds these pages to a higher standard of E-E-A-T than everyday topics, because a wrong answer does real damage.
A wrong answer about sourdough hydration costs someone a loaf. A wrong answer about a drug interaction or a pension transfer costs considerably more.
If you publish in a YMYL area, expect the credibility bar to be far higher — and expect thin content to be filtered harder than it would be elsewhere.
What are Google’s Who, How and Why questions?
Google’s Who, How and Why questions ask who created the content, how it was created and why. Google calls the why “perhaps the most important question”, and the right answer is to help people who visit your site, not to attract search traffic.
These come from the same Google page on people-first content, and they map closely onto the improvement checklist further down.
Who. Google wants authorship to be self-evident: a byline, linked to background on the author and the areas they write about. An anonymous page has no answer here.
How. Show your method where readers would expect one. For a product review, that means how many products you tested and what you found, with photos. If automation or AI played a substantial part, Google suggests saying so.
Why. Content made mainly to attract search traffic, especially with automation, is what the helpful content guidance and the spam policies are aimed at.
The self-check below uses Google’s own questions, so I’d run it on a page after reading these three.
Does AI-generated content hurt E-E-A-T?
Not by itself. Google’s guidance says generative AI can help with research and structure, but using it to generate many pages without adding value for users may violate its spam policy on scaled content abuse. The risk is thin, unchecked content, not the tool.
Google’s page on using generative AI content says AI “can be particularly useful when researching a topic, and to add structure to original content”. The same page warns against generating “many pages without adding value for users”, and asks for accuracy in everything generated, including titles, meta descriptions, structured data and image alt text.
Google first set out its position in a February 2023 Search Central post, Google Search’s guidance about AI-generated content.
The E-E-A-T problem with AI drafts is Experience. A model hasn’t used the product or done the job, so a draft with no first-hand detail added is second-hand content by definition.
AI can help with structure, but in my view the examples, numbers and judgement have to come from someone who did the work.
How do you improve E-E-A-T for SEO?
You improve E-E-A-T by making the real thing visible: put a named person on the content, write from work you’ve done, make the business identifiable, show what customers say and get cited by sources with authority. Markup comes last, because it only describes credibility that already exists.
The list below runs in what I think is the rough order of impact. Most items cost time rather than money.
The citation item overlaps with earning links from relevant sites, and the writing items are the core of the content work I do for clients.
In rough order of impact
0/ 7
That is the whole list. Anything still unticked is your next job.
Free tool · E-E-A-T self-check
Check one page against Google’s own questions
Answer for one page. There’s no score, because Google doesn’t score E-E-A-T. You get a list of what to change.
The 30-second stranger test my own check
Who created the content Google’s wording
Expertise Google’s wording
Content and quality Google’s wording
People-first Google’s wording
0 answered
- Your fixes will appear here.
Google’s questions are quoted from Creating helpful, reliable, people-first content.
How this site does it, as a worked example
Since it would be poor form to write this and not apply it: every page here
carries a Person node in its structured data, all referencing one identifier,
authored on the about page — so every article is connected to a named
human rather than a floating byline.
A minimal Person node for an author looks like this. Google’s Article
structured data
documentation recommends Person for people and an author.url that points to
“a web page that uniquely identifies the author”. The sameAs links connect
that page to profiles elsewhere.
{
"@context": "https://schema.org",
"@type": "Person",
"@id": "https://www.example.co.uk/about#person",
"name": "Jane Smith",
"jobTitle": "Chartered building surveyor",
"url": "https://www.example.co.uk/about",
"worksFor": { "@type": "Organization", "name": "Smith Surveying Ltd" },
"sameAs": [
"https://www.linkedin.com/in/example-jane-smith",
"https://www.example-directory.org/jane-smith"
]
}Each article’s author property then references that same @id, so every post
points at one person rather than repeating the details.
Every figure quoted on the site traces to a Search Console export I’ll show anyone who asks, the case studies name what didn’t work as well as what did, and the numbers I can’t verify are labelled as illustrative rather than dressed up as results.
None of that’s markup. The markup only describes it.
The short version
E-E-A-T isn’t something you add. It’s a description of being a real, identifiable, competent business that publishes things it actually knows — and then a small amount of technical work making that legible to software.
The businesses that struggle with it are almost never the unqualified ones. They are the anonymous ones.
Common questions
Does an author bio really make a difference?
On its own, no. A bio that establishes who wrote something and why they're credible, linked to a real profile elsewhere and consistent across the web, is one signal among many. A stock photo and two lines of invented credentials isn't — and is easy to spot.
How does E-E-A-T apply to a small local business?
More simply than people expect. Be a real, identifiable business with a real address, real reviews, real photos and a real person's name on the content. Most small businesses fail this by being anonymous, not by being unqualified.
Want it done on your site?
Send me the address. The free audit is a short, plain-English read on what to fix first.
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