E-E-A-T
experience, expertise, authoritativeness, trustE-E-A-T is Google’s quality framework for judging the credibility of content and its maker: experience, expertise, authoritativeness and trust. It steers what kind of content rises, especially in topics where misinformation is dangerous.
Good to know
E-E-A-T is not a single algorithmic metric but a framework Google’s quality raters use and whose signals the algorithm evaluates: who wrote the content, with what experience, on which sources, and whether others trust the site. The first E, first-hand experience, was added to separate genuinely experienced makers from content that merely summarises others.
In practice E-E-A-T is built by making it visible: named authors with bios, dates, sources, contact details and consistent topical coverage. The same signals weigh in AI search, which favours sources with an identifiable, credible maker behind them. The framework weighs most in YMYL topics, content touching money and health.
IN PRACTICE
How E-E-A-T shows on a site
The maker made visible
A named author, role, experience and profile page on every piece. Faceless content is the weakest signal.
Transparency and sources
Dates, references, contact details and editorial principles show someone stands behind the claims.
Authority in the topic
Comprehensive coverage of your own subject and mentions from other sites build a position no single article reaches.
PITFALLS
Two E-E-A-T mistakes
Faceless mass content
Without a maker and experience, content competes on text alone, and text is limitless. Experience is the one thing that cannot be copied.
Signals without substance
Invented author profiles and borrowed merits turn against you when exposed. The framework rewards the real, not the staged.
FREQUENTLY ASKED
Frequently asked questions
Is E-E-A-T a direct ranking factor?+
Not as a single metric: it is a framework whose component signals the algorithm evaluates. The effect shows strongest in competitive and YMYL topics.
What does the first E, experience, mean?+
First-hand evidence of the topic: the maker has done, tested or lived what they write about. Client-work lessons and your own numbers are experience signals at their best.
How does a small company build E-E-A-T?+
Named experts as authors, first-hand experience and data in the content, consistent topical coverage and mentions in trade media. A small player can be more credible in its niche than a large generalist.
Does E-E-A-T affect AI search?+
Yes: language models favour sources whose maker and background are identifiable. The same work serves both kinds of search.
What does YMYL mean?+
Your Money or Your Life: topics that can affect health, finances or safety. In them Google weighs E-E-A-T signals most heavily.
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Maintained by the VSCY editorial team · Updated 6 Aug 2026 · Part of the marketing glossary (99 terms)
