What is E-E-A-T?
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 does E-E-A-T matter?
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.
E-E-A-T in practice
- 01A blog article with an author box, photo, role and link to the team page signals real authorship.
- 02Article schema with author and a linked Person makes the expertise machine-readable.
- 03Mentions of the brand in trade media or directories strengthen authority from the outside.
From the journal
- The team page as a sales page: trust without stock photosThe team page is where an enquiry is decided, and it usually shows a purchased smile. Since 2 August 2026 the picture is a legal question too, and Google's own rating guidelines list invented information about your team as the worst possible verdict. What belongs there instead.
- We set out to check the most-quoted AI number. The report contains it five times.95 per cent fail: the number is everywhere. It comes from an MIT report that contains it five times - counting something different each time. What hangs on that, where we quoted it wrong ourselves, and how to check a number in five minutes.
- Brand voice in the age of AI content: when half the web sounds the sameRoughly half of all new articles on the web are now AI-generated - and without steering, they all sound alike. That is exactly what turns a defined brand voice into an asset: visibility and trust flow to brands you can recognise from a single sentence. What the data says, and how to define a voice that survives AI in your workflow.
