Google’s EAT 1.0 was the four signals the algorithm could measure: Experience, Expertise, Authoritativeness, Trustworthiness. The problem in 2026 is that AI passes the surface test. EAT 2.0 stacks the human layer the framework was never asked to measure. Empathy, Authenticity, Transparency. These three are what authority now compounds on, and they are the move AI cannot imitate.
Most “revenue architecture” sold today is plumbing, such as pipeline mechanics, attribution, dashboards. But the real architecture is upstream, where positioning lives.
Most companies use AI as a content factory. Expert-led businesses need something different: AI that amplifies their actual expertise instead of replacing it with generic output.
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