E-E-A-T

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — the four dimensions Google's Search Quality Rater Guidelines use to evaluate the quality and credibility of web content. Originally E-A-T (Expertise, Authoritativeness, Trustworthiness), the framework was updated in December 2022 to add "Experience" — emphasizing that firsthand experience with a topic is a distinct quality signal beyond formal expertise.

Experience refers to firsthand, direct experience with the topic: a travel guide written by someone who visited the location, a product review by someone who actually used the product, a health article by someone who has managed the described condition. Expertise refers to formal or demonstrated knowledge: credentials, professional background, years of practice. Authoritativeness refers to recognition by peers and the broader industry: citations, references, backlinks from authoritative sources, and domain reputation. Trustworthiness refers to the accuracy, transparency, and honesty of the content and its publisher.

For AI SEO, E-E-A-T signals are critical because AI systems — trained on Google's quality heuristics and reinforced by RLHF (Reinforcement Learning from Human Feedback) — tend to prefer citing content that exhibits these signals. Content with clear author credentials, first-person experience elements, supporting citations, transparent sourcing, and publisher trustworthiness signals is preferentially cited over anonymous, thinly sourced, or credential-free content.

Practically, building E-E-A-T for AI SEO involves creating detailed author profiles with verifiable credentials, adding first-person experience to content where appropriate, citing primary sources and data, maintaining an accurate and transparent About page, earning editorial citations from reputable sources, and ensuring factual claims are accurate and verifiable. These investments compound over time, building a reputation that AI systems increasingly recognize and reward.

A financial advice site adds certified financial planner (CFP) bylines to all investment articles, includes author bios with credentials, cites primary SEC and IRS sources throughout, and marks up content with Person schema — seeing a 40% increase in AI citations for money-related queries.