E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It's the framework Google uses to evaluate content quality, particularly for topics that could impact users' health, finances, or safety (YMYL topics).
The four components:
- Experience: First-hand experience with the topic
- Expertise: Knowledge and skill in the subject area
- Authoritativeness: Recognition as a go-to source
- Trustworthiness: Accuracy, transparency, and legitimacy
E-E-A-T signals for content:
- Author credentials and bios
- Citations and references
- Accurate, fact-checked information
- Clear contact and about information
- Positive reputation and reviews
E-E-A-T is crucial for AI visibility because:
- AI systems prioritize trustworthy sources
- Author expertise influences AI citation decisions
- Brand authority affects AI recommendations
- Content accuracy determines whether AI trusts your information
Building E-E-A-T requires consistent, quality content creation and establishing genuine expertise in your field.