E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It's the framework Google's human quality raters use to evaluate whether a website deserves to rank — and increasingly, it's what AI search engines use to decide which sources to cite.
Google added the first "E" (Experience) in December 2022. The shift from E-A-T to E-E-A-T signals that it's no longer enough to claim expertise — you need demonstrated, first-hand experience with the topic you're writing about.
Why E-E-A-T Matters (Even if Google Says It's Not a Direct Ranking Signal)
Google has repeatedly clarified that E-E-A-T is not a direct algorithmic signal — there's no "E-E-A-T score" that gets calculated. However, the March 2024 Helpful Content core update hit low E-E-A-T content sites hardest. Sites without clear author credentials, original research, or demonstrable expertise saw the biggest drops.
The practical truth: E-E-A-T is enforced through Google's quality raters (real humans who evaluate pages using the Quality Rater Guidelines) and through algorithmic proxies that detect the same signals.
Breaking Down Each Component
Experience Does the author have first-hand, real-world experience with the topic?
Examples of experience signals: - Personal photos or case studies from actual projects - Reviewer who has actually bought and used the product - Doctor writing about a medical condition they treat - Founder writing about building the type of business they've actually built
A telltale sign of missing experience: reviews that could have been written without owning the product, or "how-to" articles that describe the general process without any specific, stumble-worthy details only a practitioner would know.
Expertise Does the content demonstrate deep subject-matter knowledge?
Expertise signals include: - Citing primary sources (studies, official documentation, statistics) - Acknowledging edge cases, nuances, and counter-arguments - Providing technically accurate details that generalist writers wouldn't know - Author credentials displayed prominently (bio, professional title, links to their work)
Authoritativeness Is this site (or author) recognised as a legitimate source within the field?
Authority is largely driven by: - Backlinks from other authoritative sources in the same topic area - Mentions of your brand or author in industry publications - Speaking, appearing in press, or being cited in academic/professional work - sameAs markup in your JSON-LD schema connecting your brand to recognised social and professional profiles
This is where many small sites struggle. Having accurate, well-written content is necessary but not sufficient — if no one in the industry has recognised you, authority signals are weak.
Trustworthiness Can visitors trust that the site is legitimate, accurate, and honest?
Technical trust signals that Google's systems can evaluate: - Valid HTTPS / SSL certificate - Transparent ownership (real company name, contact address, not anonymised WHOIS) - Clear authorship with real, identifiable people - Privacy policy, terms of service, and (in regulated industries) required disclosures - Consistent NAP (Name, Address, Phone) for local businesses - No signs of deceptive UX patterns (fake countdown timers, hidden unsubscribe flows)
E-E-A-T for Different Site Types
E-commerce and SaaS - Trust reviews from Trustpilot, G2, or Capterra with real reviewer profiles - Case studies with named customers and measurable results - Founder's story page with real biography and credentials - Technical security signals: SSL, security headers, fast load times
Informational / Blog Sites - Author bios on every article with links to LinkedIn or professional work - Date of original publication + last updated date on evergreen content - External links to primary sources (don't be afraid to link out — it's a trust signal) - Review dates for content that covers evolving topics
Local Businesses - Physical address that matches Google Business Profile - Schema markup with LocalBusiness type including address, phone, opening hours - Real customer reviews with responses from the owner - Photos of the actual premises and team members
How RoastReady Measures Trust Signals
RoastReady's audit scans for the technical components of E-E-A-T that can be measured automatically: SSL validity, security headers, privacy policy and terms presence, structured data implementation, and page speed (a proxy for technical investment). The AI action plan then identifies the highest-priority fixes to close your trust gap.