EEAT: definition, stakes and how to apply it

What does EEAT stand for?

EEAT stands for Experience, Expertise, Authoritativeness, Trustworthiness. Google added the first E, experience, to the former E-A-T framework on December 15, 2022 (announcement on Search Central). The goal: to value content from an author who has actually used a product, visited a place or lived through a situation.

Letter	What is assessed	Digital marketing example
E · Experience	The author has practiced the topic	Screenshots of their own Search Console account, a test run on a site
E · Expertise	The author’s knowledge and skills	Explicit method, technical demonstration
A · Authoritativeness	Reputation of the site and the author on the topic	Citations by other sites, talks, brand mentions
T · Trustworthiness	Accuracy, honesty, transparency, safety	Primary sources, update date, legal notice

Is EEAT a ranking factor?

No, not in the sense of a single score. Google’s page on helpful, reliable content (updated on December 10, 2025) says so: E-E-A-T itself is not a specific ranking factor. Automated systems combine many factors. They look for content that shows experience, expertise, authoritativeness and trustworthiness.

These guidelines are used by human evaluators, the quality raters. Their ratings do not directly change rankings: they help Google check that its systems are working. Reading these guidelines remains the best way to understand what Google aims to reward.

Why does trustworthiness matter more than the rest?

The rater guidelines present trustworthiness (Trust) as the most important member of the E-E-A-T family. An untrustworthy page has low EEAT, whatever the experience or prestige of its author. Google’s example: a financial scam is still a scam, even when set up by a highly experienced swindler.

The bar rises on YMYL topics (Your Money or Your Life). These are topics that can affect people’s health, financial stability or safety, or the welfare of society. An article on a financial investment will be judged more strictly than a cooking recipe.

To judge trustworthiness, raters cross-check three sources:

• What the site says about itself: “About” page, author profile.
• What others say about it: independent reviews, press articles, references.
• What the page shows: the main content, evidence of testing, comments.

How do you demonstrate EEAT on a site?

Signals are built at two levels. The site sets the framework once and for all; each piece of content brings its own evidence.

At site level

• A complete author page: real name, background, areas of expertise, links to public profiles. On this site, it is the about the author page.
• A published editorial policy: source checking, corrections, use of AI. Elev8 Lab details it in its editorial method.
• Legal notice, privacy policy, real contact details, HTTPS.
• Person and Organization markup consistent with what is visible on the pages.

For articles, the Article structured data documentation (September 8, 2026) gives a precise instruction. Specify the author with a URL that uniquely identifies them, or with the sameAs property. Implementation is detailed in our guide to structured data.

At the level of each piece of content

Google suggests three questions: who created the content, how, and why. Each one translates into concrete elements on the page.

Question	What the page must show	Letter reinforced
Who?	Byline, short bio, link to the author page	Expertise, Authoritativeness
How?	Method, tests carried out, screenshots, share of automation or AI	Experience, Trustworthiness
Why?	Content created to help the reader, not to capture traffic	Trustworthiness

Add to this primary sources linked to the exact page and a visible update date. Uncertainties are flagged. The complete writing method is in our SEO writing guide.

What is the link between EEAT, AI content and answer engines?

Google does not penalize AI as such. Its position on generated content (December 10, 2025) advises explaining how automation was used, when readers might wonder. Its spam policies (August 28, 2026) target the mass production of pages with no added value, AI included.

Experience then becomes the hardest signal to imitate. A language model can summarize what exists. It cannot show a screenshot of your own account, or the result of a test you ran.

AI answer engines also draw on sources outside the brand’s site: mentions, citations, reviews. This work belongs as much to GEO as to SEO. It is covered in our page on GEO optimization.

How do you audit the EEAT of a page?

Here is the short grid Elev8 Lab uses to review a piece of content. It does not produce a score: it spots what is missing.

• The author is named, and their bio is accessible and verifiable.
• The page shows at least one proof of experience: a test, a screenshot, an anonymized case.
• Every figure links to a dated primary source, to the exact page.
• The publication date and the update date are visible.
• The title announces exactly what the page contains.
• The use of AI is explained when a reader might wonder about it.
• Uncertainties and opinions are flagged as such.
• No information contradicts another page on the site.

EEAT is only one piece of search engine optimization. To place these signals within an overall strategy, see our SEO guide.