E-E-A-T

The abbreviation does not come from a patent or from the ranking algorithm itself, but from the Search Quality Rater Guidelines. This is the handbook that external raters use to evaluate search results on Google's behalf. E-E-A-T is therefore not a single ranking factor but an assessment framework: it describes how Google wants to recognise whether a page is reliable.

For B2B companies and online shops, the concept is relevant for a simple reason: anyone who wants to be visible on topics relating to money, health or purchases must be able to prove that genuine competence lies behind the content. This is exactly what Google checks, algorithmically via signals and on a sample basis via human quality raters.

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

The Search Quality Rater Guidelines are a publicly available document of a good 180 pages (as of the September 2025 update). Google uses them to have external quality raters around the world assess the quality of search results. Important: these assessments do not directly change the ranking of an individual page. Google uses them as a yardstick for testing algorithm changes, as the company itself explains in its documentation How Search Works.

The history of the concept can be dated clearly. E-A-T first appeared in the guidelines in 2014, at that time still with three letters for expertise, authoritativeness and trustworthiness. On 15 December 2022, Google added the second E for experience, turning E-A-T into today's E-E-A-T. You can find the announcement on the Google Search Central Blog.

Since then, Google has continued to maintain the document. The update of 11 September 2025 added, among other things, examples for assessing AI Overviews and more precise YMYL definitions. This revision history alone shows that E-E-A-T is not a marketing term from the SEO scene but a core element of Google's own understanding of quality.

The four components in detail

The four letters describe different perspectives on the same question: can this source be believed? They overlap but are not identical. A page can be technically correct and still not trustworthy, for example because the operator and author remain anonymous. The guidelines always assess three levels at the same time: the individual piece of content, the creator and the website as a whole.

Experience: first-hand experience

Experience asks whether the creator knows the subject of the content first-hand. Has the author really used the product, implemented the software themselves, gone through the process in their own company? Google deliberately added this dimension because there are topics on which lived experience is more valuable than formal qualifications. A first-hand account of a Shopware migration by someone who has completed twenty projects beats theory that has been compiled from other sources.

Expertise: demonstrable specialist knowledge

Expertise means knowledge and skill in the respective field. For medical or tax topics, Google expects formal qualifications. For many everyday and practical topics, so-called everyday expertise is sufficient, i.e. demonstrable competence without a title. What matters is that the expertise becomes visible: through author profiles, references and the depth and precision of the content itself.

Authoritativeness: recognised authority

Authority describes the reputation of a source in the respective subject area. It arises outside your own website: through links, mentions, quotations in specialist media and through others treating the source as a reference. Authority is always topic-specific. A renowned logistics blog has no authority on legal questions. Anyone who wants to build it up systematically works on their topical authority, i.e. on recognisable command of a subject rather than on individual articles.

Trustworthiness: the foundation

According to the guidelines, trust is the most important member of the family. Google puts it clearly: untrustworthy pages have low E-E-A-T, no matter how experienced, competent or authoritative they appear. The other three dimensions contribute to trust but do not replace it. Trust includes accuracy of content, transparency about operators and authors, secure payment processes and honest handling of sources.

Not a ranking factor, but relevant to ranking: how Google uses E-E-A-T

There is no E-E-A-T score that the algorithm assigns to a page. Instead, the mechanism works in two stages. First, quality raters use the guidelines to assess whether search results meet the quality standard. Google uses this feedback to calibrate its ranking systems. Second, the systems themselves try to reflect E-E-A-T via measurable proxy signals, such as links and mentions from authoritative sources.

The requirements are particularly strict for YMYL topics, short for "Your Money or Your Life". This refers to content that concerns health, finances, safety or important life decisions. Here the guidelines require the highest level of E-E-A-T. Online shops should take this seriously: as soon as payment data flows, the money aspect automatically comes into play.

Google expressly recommends that publishers check their own content against E-E-A-T questions. The official documentation Creating helpful content provides a self-assessment catalogue for this, including the core questions about the who, how and why of a piece of content.

Why E-E-A-T matters for B2B and e-commerce

In the B2B environment, decision-makers research for a long time before making contact. White papers, comparison articles and specialist articles are often the first point of contact. If this content has no recognisable sender with competence, it loses twice: with Google and with the reader. E-E-A-T is therefore not purely an SEO topic, but largely coincides with classic trust-building in sales.

This results in concrete levers for mid-sized companies:

• Create author profiles with photo, role and verifiable qualifications for all specialist content
• Build in proof of practice: project examples, your own measurements, screenshots from real systems instead of stock material
• Maintain the about us page, legal notice and contact channels, because raters check precisely these pages
• Build external reputation: specialist articles in industry media, talks, association work, review profiles
• Provide content with dates, sources and revision notes, and consistently correct outdated statements

In e-commerce, product data, transparent shipping and returns conditions and authentic customer reviews are added to this. A shop that merely copies manufacturer information provides neither experience nor expertise. Its own buying advice, sizing tips from practice and honest product tests distinguish it from interchangeable competitors.

Prioritisation: where to start the work

Not every page needs the same effort. Start where trust deficits cost revenue: pages close to transactions, pricing pages, comparison and advice content related to purchases. Then come the specialist articles with the greatest reach. A pragmatic test: would a sceptical buyer find enough evidence on this page to consider you competent? If not, it is rarely the text that is lacking, but proof, creators and sources.

Real-world example: the Medic update of 1 August 2018

How seriously Google takes the topic was shown by the core update of 1 August 2018. Barry Schwartz of Search Engine Roundtable analysed over 300 affected websites at the time and found that over 42 per cent came from the health, medicine and fitness sector. Because of this concentration, he dubbed it the Medic update.

Many of the losers had sites with solid content but no recognisable authors, no medical review and weak reputation signals. The winners were often portals with designated specialist authors and clear institutional credibility. The Medic update made E-A-T an industry topic and is still regarded as an object lesson today: Google can make trust deficits algorithmically expensive, even without naming a single factor.

Distinction and common misconceptions

A number of persistent misjudgements circulate around E-E-A-T. The most important clarifications:

• E-E-A-T is not a direct ranking factor. There is no score and no tool that measures it. Google uses the concept for assessment and calibration; the algorithms work with approximation signals.
• E-E-A-T cannot be retrofitted with a plugin. An author box without genuine competence behind it is decoration. Raters are expressly supposed to research reputation outside your own website.
• E-E-A-T does not only concern YMYL pages. For sensitive topics the requirements are higher, but the basic principle applies to every search query.
• E-E-A-T is not the same as topical authority. Topical authority describes the breadth and depth of coverage of a subject area; E-E-A-T describes the credibility of source and creator. The two reinforce each other.
• AI content is not automatically weak on E-E-A-T. Google assesses quality, not the method of production. It becomes critical when generated texts are published without experience, review or a person responsible.

Outlook: E-E-A-T in AI search

With AI Overviews and AI chatbots, the question of whom users trust is shifting from the individual page to the cited source. Language models need reliable sources for their answers, and the selection criteria closely resemble E-E-A-T: recognisable creators, consistent reputation, verifiable facts. Anyone investing in trust signals today is therefore also working on their citability in generative systems, the core of generative engine optimisation.

Our assessment: the experience component will continue to gain in weight. Machines can gather pure factual knowledge, but not lived experience. Original data, your own tests and documented practice are therefore the most defensible form of content. This is exactly where B2B companies should concentrate their scarce content resources, instead of producing interchangeable advice texts.

Frequently asked questions about E-E-A-T

Is E-E-A-T an official Google ranking factor?

No. E-E-A-T is an assessment concept from the Search Quality Rater Guidelines. The raters' assessments do not change rankings directly; they serve Google as a quality benchmark when testing algorithm changes. However, the ranking systems try to reflect the same qualities via measurable signals. In practice, this means: not a factor, but very much relevant to ranking.

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

Since 2014, E-A-T stood for expertise, authoritativeness and trustworthiness. On 15 December 2022, Google added experience as a fourth dimension. The assessment thus expressly rewards first-hand experience, such as genuine product use or your own project practice, in addition to formal specialist knowledge.

How can I improve E-E-A-T in concrete terms?

Make creators visible: author profiles with qualifications, a responsible editorial team, a well-maintained legal notice. Prove experience with your own data, screenshots, case studies and tests. Build external reputation via specialist media, directories and reviews. And keep content up to date and factually correct, because trust is the basis of the entire assessment.

Does E-E-A-T also apply to online shops?

Yes, especially so. Shops process payments and therefore fall into the money area of YMYL. Transparent operator information, secure checkout processes, reachable support, honest product information and genuine reviews are the central trust signals here. Independent buying advice based on practical experience additionally strengthens experience and expertise.

Can I measure E-E-A-T?

Not directly, because there is no public score. Individual signals can be measured approximately: brand search volume, links and mentions from relevant sources, review profiles and the development of visibility after core updates. A structured self-test is possible with the question catalogue from Google's documentation on helpful content.