E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — Google's quality framework for evaluating content and its sources. Experience is first-hand engagement with the topic. Expertise is demonstrated knowledge. Authoritativeness is recognition by others in the field. Trustworthiness is accurate, transparent content with clear authorship. E-E-A-T is not a single ranking score but informs Google's algorithm and is a measurable AI citation trust signal.
What are the four components of E-E-A-T?
First-hand, real-world engagement with the topic. Running a live experiment — as GeoExperiment does — is a direct Experience signal. You have done the thing you are writing about.
Demonstrated knowledge of the subject. Shown through accurate content, technical depth, correct terminology, and the ability to explain nuance — not just surface-level summaries.
Recognition by others in the field — citations, backlinks from relevant sources, mentions in other authoritative content. Authority is conferred by others, not claimed by yourself.
Accurate, transparent, reliable content with clear authorship, contact information, privacy policy, and terms. The most important of the four — an untrustworthy site undermines all other signals.
Why does E-E-A-T matter for AI citation?
AI systems favor sources with clear authorship and verifiable credentials. When Perplexity or ChatGPT evaluates which page to cite for a given query, E-E-A-T signals influence the decision — a page with named authors, an About page, schema-marked organization details, and consistent entity signals is treated as more trustworthy than an anonymous page with identical content.
This is why the About page is not optional. It is an active E-E-A-T signal — it connects the GeoExperiment Team and CC to this domain, establishing the author entity that schema markup references.
How do you strengthen E-E-A-T signals?
- Add a clear About page with named authors, their role, and what qualifies them to write about this topic.
- Add Organization JSON-LD schema with consistent name, URL, and contact email matching across all pages.
- Publish original research or data — first-hand experience signals are the strongest E-E-A-T indicator for a new site.
- Add publication and modification dates to all content pages — freshness is a Trustworthiness sub-signal.
- Add a Privacy Policy and Terms of Use — signals a legitimate, established site.
- Maintain consistent entity names across the site, schema markup, social profiles, and external mentions.
- Get cited by other sources — even one relevant backlink from an authoritative domain moves Authoritativeness measurably.
Frequently asked questions about E-E-A-T
// what is E-E-A-T?
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — Google's quality framework for evaluating content and its sources. It informs Google's algorithm design and quality rater guidelines, and is also a measurable AI citation trust signal.
// does E-E-A-T affect AI citation?
Yes. AI systems favor sources with clear authorship, consistent entity signals, and verifiable credentials. An About page with named authors, Organization schema with contact details, and consistent brand name across all pages all strengthen the E-E-A-T signals that influence LLM citation decisions.
// how do I improve my E-E-A-T signals?
Key improvements: clear About page with named authors, Organization JSON-LD schema with contact information, original research or data, publication dates on all content, Privacy Policy and Terms pages, consistent entity names across site and external profiles, and citations from other authoritative sources.
// is E-E-A-T a direct Google ranking factor?
E-E-A-T is not a single direct ranking factor with a measurable score. It is a quality framework that informs Google's algorithm design. Pages with strong E-E-A-T signals rank better over time — particularly for topics where accuracy and trustworthiness matter most.