E-E-A-T
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. It is an evaluation framework from Google's quality guidelines used to assess how credible a piece of content and its source are. Search engines and AI systems use these signals to distinguish reliable content from superficial or misleading content.
Why E-E-A-T matters
E-E-A-T helps decide whether your content is considered trustworthy. Especially on sensitive topics like health, finance or law (in the jargon "Your Money or Your Life"), search engines apply strict standards. A recipe blog needs fewer credentials than a page that explains medications. For you, that means: the greater the consequence of bad advice for your readers, the more you have to show who stands behind the content and why that person should know it. If this proof is missing, your visibility falls – not only in classic search but also when AI assistants decide which sources they cite and recommend.
How E-E-A-T works
E-E-A-T is not a single measurable value but a bundle of signals. You demonstrate experience by making real practice recognisable, such as products you have tested yourself or your own cases. You evidence expertise through author profiles with a traceable qualification. Authority arises when other reputable sites link to or mention you. You support trustworthiness with an imprint, clear source references, current data and a secure website. Search engines and language models read these signals from the entire environment of a page, not just from the text. Trustworthiness is regarded here as the foundation: without it, experience and expertise are of little use, because the statements are not verifiable.
Common mistakes
A typical mistake is anonymous content with no recognisable author. If nobody stands behind a statement, a central trust signal is missing. Equally widespread: thin texts that merely retell instead of bringing in their own experience. Outdated information also hurts, because currency is part of trustworthiness. Some stuff their pages full of titles and awards without real substance behind them – the systems increasingly see through this. And whoever claims sources but does not link them appears untrustworthy. E-E-A-T cannot be created through individual tricks but only through consistently evidenced, honest content that shows where the knowledge comes from and who is responsible for it.
Relevance to AI recommendations
AI systems like ChatGPT, Perplexity or Google AI Overviews select which sources they cite in their answers. In doing so they favour content that seems credible and verifiable – exactly the qualities E-E-A-T describes. A page with a clear author, clean evidence and a good reputation has higher chances of being named in generative answers. In the field of generative engine optimisation (GEO), E-E-A-T therefore becomes a lever for your AI visibility. For you this means: the same work that builds your trust with human readers and classic search engines also increases the likelihood that an AI assistant recommends your brand as a source rather than the competition's.
Example
Imagine two guides on the topic of private retirement provision. The first article is credited to "the editorial team", names no sources and was published four years ago. The second comes from a named financial advisor with a visible career history, references current legal texts and was updated this month. Both explain the same basic knowledge. Nevertheless, an AI search classifies the second as more reliable and cites it more readily, because experience, expertise and trustworthiness are clearly recognisable. The principle applies equally to trades, medicine or software comparisons.
Common questions
Is E-E-A-T a direct ranking factor?
No, E-E-A-T is not a single value that an algorithm measures directly. It describes a bundle of quality signals that evaluation systems orient themselves by. You influence it indirectly through authorship, evidence, reputation and technical trust signals.
What does the additional E in E-E-A-T stand for?
The leading E stands for Experience. Google added it in 2022 to the older E-A-T. It emphasises that one's own practical experience with a topic is a credibility signal in its own right, independent of formal qualification.