Andreas Cederblad Δ
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AEO & GEO – AI-søkemotoroptimalisering

E-E-A-T

Experience, Expertise, Authoritativeness, Trustworthiness — Google's quality framework that increasingly determines who gets cited by AI search.

What is E-E-A-T?

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It's Google's framework for evaluating content quality. The extra E for Experience was added in 2022 to prioritize first-hand knowledge. It's not a ranking factor you can toggle on. It's a quality signal woven into how Google — and increasingly AI models — decide which sources to trust and cite.

What it means in practice

Building E-E-A-T means demonstrating real experience and expertise through your content. Author bios with credentials. Case studies with actual results. Content that shows you've done the work, not just read about it. For AI search, E-E-A-T signals matter even more. LLMs are trained to prefer authoritative, trustworthy sources. When Perplexity or Google's AI picks which pages to cite, it leans toward content with strong E-E-A-T signals. That means your about page, your author markup, your backlink profile, and the depth of your content all feed into whether AI surfaces you.

Why it matters

In a world where AI generates answers, trust is the scarce resource. AI models can't fact-check everything. They rely on signals — the same signals E-E-A-T captures. Sites with strong E-E-A-T get cited. Sites without it get ignored. Building E-E-A-T is a long game, but it's the moat that protects your visibility.

Common mistakes

  • Faking expertise with generic content that could come from anyone
  • Neglecting author pages and credentials — machines read those too
  • Thinking E-E-A-T is just about backlinks when experience and depth matter equally

Andreas Cederblad Δ