E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Originally Google's framework for evaluating content quality (added Experience in late 2022), it has become the de-facto quality framework used by AI engines to weight citation candidates as well.
Practical E-E-A-T signals in 2026: real author bylines with structured Person schema (LinkedIn link, credentials, photo), dated content with visible publication and update timestamps, About pages with verifiable founder and company facts, customer testimonials with Review schema, original data and citations.
For DR:0 sites, E-E-A-T signals are the asymmetric opportunity versus backlink-based SEO. AI engines weight named authority (real authors, real companies, real citations) more heavily than backlink graphs.
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Frequently asked
What does E-E-A-T stand for?
Experience, Expertise, Authoritativeness, Trustworthiness. Google added Experience in late 2022, expanding the prior E-A-T framework. AI engines have adopted the same signal set.
How do I improve E-E-A-T?
Add real author bylines with structured Person schema, dated publications with update timestamps, an About page with verifiable founder facts, customer testimonials with Review schema, and original data with citations.
Does E-E-A-T matter for AI engines, not just Google?
Yes. AI engines (ChatGPT, Claude, Perplexity) weight named authority signals heavily when deciding whose content to cite. E-E-A-T is the SEO framework that crosses over cleanly into AIO.
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