E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's framework for evaluating content quality. In the AI era, E-E-A-T signals influence how LLMs perceive and cite your content.
What is E-E-A-T?
E-E-A-T is Google's guide for evaluating content quality, used by quality raters and algorithms.
The 4 Pillars
- Experience: First-hand experience with the topic
- Expertise: Demonstrated knowledge and skills
- Authoritativeness: Recognition as a reference
- Trustworthiness: Reliability and accuracy
E-E-A-T and AEO
LLMs indirectly learn E-E-A-T signals from their training data. Strong E-E-A-T increases your chances of being cited because:
- You're referenced by authoritative sources
- Your content is consistent and accurate
- You demonstrate real expertise