E-E-A-T is the framework Google uses in its internal guidelines so that human raters can judge page quality. The first “E” (Experience) was added in late 2022: Google wants to see whether the author has been through the topic first-hand, not only if they know it in theory.
It is not a direct ranking factor. Google has said so several times. But it is the lens through which the model deciding which pages are “good” gets trained. When many sites lost traffic after the 2022-2023 Helpful Content Update, the common denominator was not technical: it was content written by people with no real experience in the topic.
How to demonstrate E-E-A-T without theatre
The four signals work together. At SEOCOM we translate them into four verifiable blocks:
- Experience: cases, screenshots, own numbers, details only someone who did the work knows.
- Expertise: identifiable author with public track record, linked from the article.
- Authoritativeness: other relevant sites in the sector citing you for the same topic.
- Trustworthiness: transparent about who publishes, privacy policy, HTTPS, no dark patterns.
What does not work: signing with “Editorial team” + generic bio + fictional author + hidden affiliate links. Helpful Content picks up that pattern and downgrades it.
When it matters most
E-E-A-T weighs more in YMYL verticals (“Your Money, Your Life”): health, finance, legal, decisions affecting reader wellbeing. In other verticals it weighs less but does not disappear. For GEO (generative answers) E-E-A-T plays an equivalent role: LLMs prioritise citing sources with verifiable authority signals, and the author profile on your site matters.