E-E-A-T — Experience, Expertise, Authoritativeness, and Trust — has been part of Google's Search Quality Evaluator Guidelines for years. But with the rise of AI-generated content and LLM-powered answer engines, trust signals have become more important and more technically implementable than ever before.
What E-E-A-T actually means
- →Experience: first-hand experience with the topic — did the author actually do or use the thing they're writing about?
- →Expertise: formal or demonstrated knowledge — credentials, years of practice, depth of analysis
- →Authoritativeness: reputation and recognition in the field — who links to you, who cites you, who mentions your brand?
- →Trust: accuracy, transparency, and accountability — is the information correct? Is it clear who wrote it and why?
The "Experience" dimension was added in 2022, upgrading E-A-T to E-E-A-T. It matters because AI-generated content can appear expert without being grounded in experience. Google's systems are increasingly trying to identify that difference.
Why AI systems care about E-E-A-T signals
When an AI answer engine assembles a response, it needs to decide which sources to trust. The criteria overlaps heavily with E-E-A-T: Is the author credible? Is the site authoritative on this topic? Is the information verifiable and recent?
Sites with strong E-E-A-T signals tend to attract more high-quality backlinks, which strengthens authoritativeness, which attracts more AI citations, which drives more traffic and brand mentions — a virtuous cycle that compounds over time.
Technical implementations that signal E-E-A-T
Author schema with real credentials
Person schema on author pages with real name, job title, credentials, and social profile links is the most direct technical implementation of expertise and trust signals. Each article should link to a properly marked-up author page.
Organization schema with contact information
Organization schema at the site level with a real address, phone number, and email directly addresses trust signals. Anonymous or hard-to-contact organisations score poorly on trust criteria. If you're a legitimate business, making that technically clear costs nothing.
Auditing your E-E-A-T signals
- →Does every article have a bylined author with a linked, schema-marked-up author page?
- →Does your author page include credentials, experience markers, and verifiable social presence?
- →Does your site have clear About, Contact, and Editorial Policy pages?
- →Is your Organization schema complete with real contact details and social profiles?
- →Does your content include original data, first-hand examples, or verifiable specific claims?
- →Is your content updated when information becomes outdated, with a visible dateModified?
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