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E-E-A-TExperience, Expertise, Authoritativeness, Trust

Google's quality framework of Experience, Expertise, Authoritativeness and Trust - decisive for which sources search and AI systems believe.

Definition

E-E-A-T isn't a direct ranking factor but the framework Google's quality raters - and increasingly the algorithms themselves - use to judge the credibility of content. The second E, Experience, was added in 2022: lived experience beats theoretical knowledge.

E-E-A-T becomes visible through concrete signals: named authors with a real professional bio, sources, last-updated dates, a recognisable organisation behind the content, and mentions on other credible sites.

For AI answer systems E-E-A-T matters twice over: language models prefer sources that are recognisably reliable. A clearly attributed expert article is cited sooner than an anonymous text with no traceable origin.

Why it matters

In areas where trust matters (money, health, advice), E-E-A-T decides whether content ranks or gets cited at all. Weak E-E-A-T signals cap visibility regardless of text quality.

In practice

  1. 01A blog article with an author box, photo, role and link to the team page signals real authorship.
  2. 02Article schema with author and a linked Person makes the expertise machine-readable.
  3. 03Mentions of the brand in trade media or directories strengthen authority from the outside.

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