E-E-A-T
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness — the four quality criteria Google (and now AI engines) use to evaluate pages.
E-E-A-T is Google's content-quality framework: Experience (first-hand experience), Expertise (subject knowledge), Authoritativeness and Trustworthiness. Originally E-A-T (without the first E), expanded in December 2022. It's not a ranking factor you can directly tune — it's an aggregation of signals algorithms infer: authors with demonstrable expertise, source citations, fresh updates, links from authority domains, structured author bios, transparency about who the company is. For GEO, E-E-A-T is at least as important: LLMs weigh these signals heavily when selecting sources, especially in YMYL niches (Your Money Your Life: health, finance, law).
Example
Two Bitcoin sites publish 'How safe is self-custody?'. Site A: anonymous author, no sources, unclear update date. Site B: author with LinkedIn bio, 10 years of sector experience, article on a custody company domain, cites Bitcoin Core docs and Glassnode data. Site B wins in both Google and AI engines.
Frequently asked questions
How do I demonstrate E-E-A-T on my site?
Visible author bios per article with photo and credentials. About page with real names and history. Structured data (Person, Organization, Article with author property). Sources and dates on all content. External authority links.
Is E-E-A-T relevant for AI engines?
Yes, demonstrably stronger than for classic search. LLMs actively seek 'trustworthy-looking' sources because wrong citations damage their own credibility.
Related terms
Further reading
- → Our service: GEO
- → Blog: Bitcoin, YMYL and Google E-E-A-T
- → Blog: Bitcoin price chart disappeared from Google due to bug
- → Blog: Fintech: highest AI Overview exposure of all sectors