E-E-A-T
E-E-A-T is the Google framework standing for Experience, Expertise, Authoritativeness, and Trustworthiness, a set of quality signals raters and ranking systems use to judge whether a page and its creator are credible enough to deserve visibility, especially on topics that affect money or health.
The first E, Experience, was added in late 2022 to ask a plain question: did the person actually use the product, visit the place, or do the thing they are writing about. Expertise asks whether they have the knowledge to speak on it, Authoritativeness asks whether the wider web treats them as a known source, and Trustworthiness sits at the centre and is the one Google calls most important. None of these is a single ranking number; they are a lens that human quality raters apply and that ranking systems try to approximate through many separate signals. The framework matters most for what Google labels Your Money or Your Life pages, where weak advice can cause real harm, so a supplement guide is held to a higher bar than a list of houseplant names.
E-E-A-T gates visibility more openly after recent updates, particularly the helpful content work and the broad core updates that followed, which demoted thin, unattributed, or purely AI-spun pages. In practice you support it with named authors who have real credentials and bios, first-hand testing you can show with original photos or data, citations to primary sources, and corroboration from outside your own site such as customer reviews and independent mentions. Reviews matter here because they are experience evidence written by people other than you.
Consider a Shopify store selling cast-iron cookware. A product page that only restates the manufacturer spec sheet signals nothing about experience. The same page becomes far stronger when it carries a buyer guide written by a named staff member who lists how long they have cooked on the pan, original photographs of the seasoning after six months, and forty verified customer reviews that describe real use, including the ones that mention rust if it is not dried properly. That mix of first-hand testing, a credible author, and independent voices is E-E-A-T expressed in concrete page elements rather than a claim.
This also shapes how answer engines behave. ChatGPT, Perplexity, and Google AI Overviews lean toward sources they can attribute and corroborate, so a page with a clear author, verifiable claims, and review evidence is easier for them to quote with confidence than an anonymous block of copy. They are not running an E-E-A-T score, but the same traits that satisfy raters also make a page safer to cite.
The honest caveat: E-E-A-T is not a metric you can measure or a tag you can add, and any tool promising an E-E-A-T score is inventing one. It is a description of what good looks like, not a dial. You cannot fake it cheaply, and attempts to simulate it (invented author personas, fabricated reviews) are against Google policy and are exactly what recent updates target.