E-E-A-T
Experience, Expertise, Authoritativeness, and Trustworthiness; quality signals that influence how search engines and AI systems rate sources.
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It originates from Google's Search Quality Rater Guidelines and describes the signals that indicate whether a source is reliable. The first E, Experience, reflects first-hand or real-world experience with a topic.
E-E-A-T has become highly relevant to AI visibility because generative engines preferentially cite sources they assess as credible. Content backed by demonstrable expertise, clear authorship, authoritative citations, and trustworthy site signals is more likely to be selected and synthesized by AI answer engines.
Strengthening E-E-A-T involves showcasing real experience and credentials, earning references from respected sources, maintaining accurate and transparent business information, and keeping content factually rigorous. It is a foundational element of both modern SEO and generative engine optimization.
Related Terms
Generative Engine Optimization (GEO)
A framework for optimizing content specifically for AI-powered generative search engines that synthesize answers from multiple sources.
Content Grounding
The process of anchoring AI-generated content in verified, factual source material to reduce hallucinations and improve accuracy.
Knowledge Graph
A structured database of entities and their relationships used by search engines and AI models to understand real-world concepts.
AEO Vision Content Team
Insights on AI search visibility, answer engine optimization, and brand discovery across ChatGPT, Perplexity, Gemini, Claude, and Google AI Mode.
Track your E-E-A-T performance
AEO Vision helps brands measure and improve their AI search visibility across every major platform.