Experience, Expertise, Authoritativeness, and Trustworthiness. Google's framework for assessing content quality.
Formerly E-A-T, Google added 'Experience' to emphasize that creators should have first-hand knowledge of their topic. This is a critical factor for YMYL (Your Money or Your Life) topics like health and finance.
Improving E-E-A-T involves showcasing author credentials, earning high-quality backlinks, and ensuring content is accurate and regularly updated.
E-E-A-T is Google's answer to the 'Fake News' and 'AI Spam' era. It is not an algorithm, but a guideline used by human Quality Raters to train the algorithm.
The new 'E' (Experience) is the game changer. It means you can't just research a topic; you have to prove you've lived it. A review of a car is better if you include a selfie of you driving it.
It's a ranking score like Domain Authority.
Reality:No. There is no 'E-E-A-T Score' in Google's database. It's a conceptual framework that informs many different ranking signals (like links and authors).
It only matters for health sites.
Reality:While critical for YMYL, Google applies these standards to reviews, hobbies, and even ecommerce. Everyone needs Trust.
Author Bios: Linking your blog author's name to their LinkedIn and citing their degree to prove Expertise.
User Reviews: Adding verified purchase badges to reviews to prove Experience.
Citations: Linking to scientific journals in a health article to build Authoritativeness.
AI has no 'Experience'. It has never used a product or felt pain. Highlighting human experience is your best defense against AI content flooding.
It's getting harder. Google maps 'Knowledge Graphs' of real entities. Faking an expert persona is risky and likely to fail long-term.
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