Definition
E-E-A-T takes on an even more critical dimension in the context of GEO. AI-powered search engines evaluate source reliability before citing them. Experience (real testimonials), Expertise (qualified authors), Authoritativeness (citations by other sources), and Trustworthiness (factual accuracy) are criteria that LLMs use to select their sources. Strengthening your E-E-A-T is the foundation of any successful GEO strategy, as AI tends to cite sources perceived as the most reliable and expert.
Key Points
- E-E-A-T is a source selection criterion for LLMs
- Expertise and trustworthiness are amplified in a GEO context
- Foundation of any AI visibility strategy
Practical Examples
Expert author
An article signed by a recognized SEO expert, with a detailed biography and links to their publications, will be favored by AI as a reliable source.
Demonstrated experience
A detailed case study of an actual link building campaign with quantified results strengthens GEO E-E-A-T.
Frequently Asked Questions
The criteria are similar but their application differs. In GEO, the emphasis is on citability and factual verification, as AI must justify its answers with reliable sources.
Identified expert authors, detailed biographies, Person/Organization structured data, citations by other sources, factual content, and regular updates.
Go Further with LemmiLink
Discover how LemmiLink can help you put these SEO concepts into practice.
Last updated: 2026-02-07