- EEAT is evaluated at page and site level.
- Named authors strengthen expertise signals.
- Authority requires external validation.
- Trust gaps can suppress citation potential.
- EEAT compounds through sustained evidence and accuracy.
What EEAT Means in the AI Era
Experience, Expertise, Authoritativeness, and Trustworthiness help search engines and AI systems evaluate whether content is credible enough to rank, summarize, or cite.
- Page-level quality
- Site-level reputation
- YMYL sensitivity
- External validation
Experience Signals
Experience proves first-hand involvement through projects, observations, original data, and documented outcomes.
- Case studies
- Original research
- Practitioner insights
- Process documentation
Expertise Signals
Expertise is demonstrated through named authors, credentials, detailed biographies, accurate terminology, and primary references.
- Author pages
- Credentials
- Primary sources
- Topic depth
Trustworthiness Signals
Trust depends on transparent ownership, consistent contact information, policies, HTTPS, accurate claims, and maintained content.
- Privacy and terms
- Clear ownership
- Secure forms
- Consistent business information
Building EEAT Over Time
EEAT is a reputation system rather than a one-time setting. Prioritize quality, evidence, maintenance, and independent recognition.
- Audit authorship
- Improve trust pages
- Publish evidence-rich content
- Refresh outdated pages
- Earn external citations
