E-E-A-T
(Experience, Expertise, Authoritativeness, Trustworthiness)Definition
E-E-A-T is the four-factor framework Google's Search Quality Raters use to evaluate the trustworthiness of content, particularly for YMYL ("Your Money or Your Life") topics that affect health, financial, or safety decisions.
E-E-A-T evolved from E-A-T with the addition of "Experience" in December 2022. The four factors are evaluated together, not separately:
Experience — first-hand experience with the topic. A restaurant review by someone who ate there, a product review by someone who used it, a guide written by someone who has actually worked in the field.
Expertise — domain knowledge, demonstrated through credentials, methodology, or sustained practice. Medical content from a board-certified physician scores higher than the same content from an anonymous writer.
Authoritativeness — recognition by other authorities in the field. Inbound links from respected publications, citations in industry research, professional credentials displayed on the byline.
Trustworthiness — accuracy, citations, transparent author identity, and honest disclosure of conflicts. Pages with named human authors, verifiable credentials, and cited sources score materially higher than the same content with anonymous bylines.
E-E-A-T is not a direct ranking factor — Google's quality raters evaluate content for E-E-A-T as part of training the ranking algorithms, but Google doesn't maintain a numerical E-E-A-T score per page. The practical effect is that pages with strong E-E-A-T signals tend to rank better over time, especially in competitive verticals.
For local businesses, the leverage points are: named author bylines on guides, real testimonials with verifiable sources (G2, Trustpilot), explicit editorial standards, and proper schema markup naming the business as the publisher.
Related terms
AI Overviews
Google's AI Overviews are generative summaries that appear at the top of Google search results for many queries, synthesizing information from multiple ranked sources into a single conversational answer with linked citations.
Schema.org Markup
Schema.org markup is a standardized vocabulary of structured data tags — typically embedded as JSON-LD blocks in a page's HTML — that tells search engines and AI assistants what type of entity the page represents and what its key attributes are.