Google E-E-A-T: what it is and how to apply it

Google does not judge content on keywords and technology alone. It also weighs whether content is trustworthy and produced by the right party. That assessment framework is called E-E-A-T: Experience, Expertise, Authoritativeness and Trustworthiness. Anyone working on SEO or content marketing needs to understand what E-E-A-T means, where it comes from, and how to apply it in practice.

This article explains what E-E-A-T is, how it relates to ranking, what YMYL means, and which concrete steps you can take per pillar.

What is E-E-A-T?

E-E-A-T stands for:

Experience — does the content's creator have first-hand experience with the topic?
Expertise — does the creator have knowledge or skills in the relevant field?
Authoritativeness — is the creator or website seen as an authoritative source on the topic?
Trustworthiness — is the content, the website and the creator trustworthy: are the facts correct, is there transparency about who is behind it, is the site secure?

Trustworthiness is the most important pillar within the model: the other three ultimately feed into it, but trust sits at the centre. A page can radiate expertise, yet if the information is incorrect or the site feels unreliable, that weighs more heavily in a negative sense.

From E-A-T to E-E-A-T: what changed?

Until 2022, Google spoke of E-A-T: Expertise, Authoritativeness, Trustworthiness. The addition of the extra E, for Experience, came from an update to the Search Quality Rater Guidelines. The reasoning: expertise on paper is not the same as first-hand experience. Someone who has actually used a product, taken a trip, or lived through a condition can produce valuable content that formal expertise alone cannot always match.

This does not mean expertise became less important. For topics such as medical or financial advice, demonstrable professional knowledge still weighs heavily. But for many other types of content — reviews, personal accounts, practical examples — first-hand experience now explicitly counts as a quality signal.

Where E-E-A-T comes from: the Search Quality Rater Guidelines

E-E-A-T is not a standalone concept Google communicates separately. It is part of the Search Quality Rater Guidelines: an extensive document Google uses to instruct thousands of human raters who manually assess search results.

A few things are important to understand here:

Raters do not adjust rankings. They give quality judgements about pages and search results, and Google uses those judgements to train and evaluate its search algorithms.
E-E-A-T is therefore not a direct ranking factor in the sense of a measurable signal that pushes a page up or down. It is an assessment framework, a way of thinking about quality that then indirectly feeds into the algorithms that do rank pages.
Google repeatedly stresses this distinction: there is no "E-E-A-T score" your page receives. There are, however, all kinds of signals — content, links, reviews, author information — that shape the impression of E-E-A-T and that do have a measurable, if indirect, effect.

Meaning: you don't optimise "for E-E-A-T" as a separate algorithm component, but you make sure your content and site align with what human raters — and thus indirectly the algorithms — recognise as high quality.

YMYL: why E-E-A-T weighs extra heavily for certain topics

YMYL stands for Your Money or Your Life: content that can affect people's wellbeing, health, financial situation or safety. Think of:

medical and health information
financial advice, insurance, taxes
legal advice
news and information about current events
safety and major life decisions (for example around education or parenthood)

For YMYL content, Google applies a stricter bar for E-E-A-T. Incorrect advice about a financial product or a medical complaint simply has bigger consequences than a mistake in a recipe or a travel blog. That means websites in these categories need extra attention to author information, sourcing and demonstrable expertise.

E-E-A-T per pillar: what can you concretely do?

Strengthening experience

Show that the author has used the product, taken the service, or lived through the situation themselves.
Use original photos, screenshots or videos instead of generic stock images.
Describe concrete details that only someone with real experience could provide (results, timelines, practical examples).

Substantiating expertise

Mention the author's relevant education, certification or professional experience.
Have content written or reviewed by people with demonstrable knowledge of the subject.
Be precise and avoid vague or incorrect statements; inaccuracy directly undermines expertise.

Building authoritativeness

Build a reputation within your field, for example through mentions on other relevant websites, collaborations or contributions to industry publications.
Make sure your site and authors are recognisable as a consistent, returning source on the topic.
Consistent, high-quality content over time contributes to authority; one-off articles less so.

Safeguarding trustworthiness

Ensure a secure website (https), correct contact details and transparency about who the organisation is.
Clearly state who is responsible for the content and when it was published or updated.
Be transparent about commercial interests, sponsorships or affiliate relationships.
Make sure claims are backed by sources, and that those sources are correct.

Author pages and a solid about page

Two parts of a website that are often underestimated, yet directly contribute to E-E-A-T:

Author pages: a page per author with name, background, relevant experience or qualifications, and optionally links to other publications or profiles. This makes it clear to visitors and raters alike who is responsible for the content.
About page: a clear, complete page about the organisation: who is behind it, what is the mission, how can you get in touch, and — where relevant — what qualifications or experience the organisation as a whole has.

If these pages are missing, or too thin, a website lacks an important signal of transparency and trust.

Sourcing and substantiation

Claims that are not substantiated carry less weight than claims with a clear, verifiable source. Concretely:

Refer to original, authoritative sources rather than other content that is itself unsubstantiated.
Be cautious about inventing or assuming figures; incorrect facts damage trust more than the absence of a figure.
Update content when facts, figures or regulations change, and show when this happened.

Reviews and reputation beyond your own website

E-E-A-T is not limited to your own site. Google also looks at the broader picture that exists online about an organisation or author:

Reviews on third-party platforms (Google, Trustpilot, industry-specific review sites) indicate reputation.
Mentions, citations or links from other authoritative sources within the field contribute to authority.
Consistent negative signals — complaints, warnings, poor reviews — can undermine trust, even if the own website looks fine.

Short: your reputation is not only what you say about yourself, but also what others say about you.

Technical and content checklist

Element	What to check
Author information	Name, background, relevant experience per article
About page	Complete, transparent, easy to find
Contact details	Correct, complete, easy to find
Security	HTTPS, no browser warnings
Sourcing	References to verifiable, authoritative sources
Freshness	Publication and update dates visible, content periodically refreshed
Reviews	Present, current, and representative of the service
Transparency	Clarity about commercial interests and sponsorship

E-E-A-T, AI-generated content and helpful content

With the rise of AI-written text, the question of how E-E-A-T relates to it has become relevant. Google has stated that how content is made — with or without AI — is not a problem in itself. What matters is whether the content genuinely helps people and meets quality expectations.

In practice this means:

Purely automated content without human review, experience or substantiation carries a higher risk of being judged as low quality.
Content primarily created to rank in search engines, rather than to help people, does not fit the helpful content principle closely tied to E-E-A-T.
AI can be a useful writing aid, provided human expertise, review and first-hand experience underpin it.

Meaning: the question is not "was this written by a human or AI", but "is this trustworthy, knowledgeable, and genuinely useful for the reader".

Common mistakes

Publishing content without a clear author or organisation behind it.
Making claims without a source or substantiation.
A thin or missing about page.
Leaving outdated content unchanged while facts or regulations have changed.
Focusing only on your own website while ignoring reputation on other platforms.
Treating E-E-A-T as a technical setting or a standalone "score" fixable with a plugin.
Applying the same light-touch approach to YMYL topics as to non-critical content.

How do you measure E-E-A-T?

Because E-E-A-T is not a direct, measurable ranking factor, there is no tool that gives an exact score. There are, however, indirect ways to test your approach:

Critically assess content yourself: would an independent expert consider this trustworthy and knowledgeable?
Track visibility and rankings in Google over time, especially after quality-focused Google updates.
Monitor reviews and mentions on other platforms as a reputation indicator.
Periodically check whether author information, sourcing and freshness of content are in order.
Use user research or feedback to test whether content is genuinely perceived as useful and trustworthy.

E-E-A-T is therefore less a checklist to tick off, and more a structural way of working: creating content through people with knowledge or experience, being transparent about who is behind it, and handling facts carefully. This aligns directly with a broader approach to content marketing and online marketing, where visibility is not the only goal — credibility is too.

Frequently asked questions

Is E-E-A-T a ranking factor?

Not directly, in the sense of a measurable signal. E-E-A-T is an assessment framework from the Search Quality Rater Guidelines used to train and evaluate search algorithms. Concrete signals such as content, sourcing and reputation do work through into ranking indirectly.

What is the difference between E-A-T and E-E-A-T?

E-A-T stood for Expertise, Authoritativeness and Trustworthiness. In 2022 Google added the extra E for Experience, to emphasise that first-hand, practical experience with a topic also counts as a quality signal, alongside formal expertise.

What does YMYL mean?

YMYL stands for Your Money or Your Life: content that can affect someone's health, finances, safety or other major life decisions. Google applies a stricter bar for E-E-A-T for this type of content.

How do I show expertise on my website?

Among other things, through clear author pages with relevant background, correct and substantiated content, and a complete about page that makes transparent who is behind the organisation.

Does AI-generated content negatively affect E-E-A-T?

Not by definition. Google assesses content on quality and usefulness for the reader, not on how it was created. AI content without human review, experience or substantiation does carry a higher risk of being seen as low quality.

Can I measure E-E-A-T with a tool?

There is no exact score for E-E-A-T. You can, however, test it indirectly through visibility in search results, reviews and reputation on other platforms, and a critical assessment of your own content on expertise and trustworthiness.