E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It is the framework Google’s quality raters use to evaluate content quality, with particular emphasis on content in categories where inaccurate information could cause real harm — health, finance, legal, and similar topics.
E-E-A-T is not a score or a metric — it is a framework for thinking about why AI systems and search engines would trust one source over another. For AI citation specifically, the experience and expertise signals matter most: content written by someone who has actually done the thing, with a verifiable author identity and a documented track record, gets cited over anonymous or thin content. For PLC clients, this means building author identity, documenting credentials, and publishing content that demonstrates first-hand knowledge.
E-E-A-T is not a ranking factor you can directly optimize — it is a proxy for content quality signals that do affect ranking and citation. You cannot add an “E-E-A-T score” to a page.
