For years, SEOs obsessed over E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) to appease Google's human quality raters. Today, E-E-A-T is being evaluated by Large Language Models natively through reinforcement learning architectures.
How AI Measures Expertise
LLMs don't read "About Us" pages like humans do. They map entity graphs. If John Doe writes a medical article on your site, the LLM maps John Doe against its entire training corpus to find citations in medical journals, major news outlets, and verified institutions. If John Doe is an entity "ghost" outside your blog, your content has zero algorithmic Expertise.
Establishing Trustworthiness for AI
- Consistent NAP: Your structured data Name, Address, and Phone must strictly align with external directories and government registries.
- Review Sentiment: AI parses the sentiment of thousands of external reviews across G2, Trustpilot, and Yelp to assign a trustworthiness score to the brand entity before generating an answer.
- Citation Symmetry: The claims you make on your site must be corroborated by authoritative external sources in the LLM's training dataset.