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EEAT

EEAT in the Age of AI Search

How LLMs interpret Experience, Expertise, Authority and Trust — and the exact signals that move the needle in 2026.

Arjun MehtaHead of GEO StrategyMar 30, 202611 min read
EEAT in the Age of AI Search — article hero

EEAT started as a rater guideline. In 2026 it is effectively encoded into how LLMs choose sources. This post breaks each signal into concrete, shippable actions.

Experience: prove you have done the thing

First-person accounts, original screenshots, dated timelines, and named case studies all raise the experience signal. Generic 'ultimate guide' framing lowers it.

Expertise: name the humans

Every article needs a real author with a real bio, credentials, and links to their work. Ghost-written or 'staff' bylines correlate with lower trust scores in our tests.

Authoritativeness: earn third-party mentions

Wikipedia, Wikidata, Reddit, YouTube, and tier-1 media are the shortest path to being seen as authoritative by AI systems.

Trust: technical hygiene matters more than you think

HTTPS, working contact pages, clear ownership, dated content, and a privacy policy are all trust signals LLMs and rater guidelines both weight.

Frequently asked questions

Is EEAT a ranking factor?

Not directly — but the underlying signals that inform it (author, citations, technical trust) are.

Do author bios actually help?

Yes. Real bios linked to Author schema and third-party profiles move both classic rankings and AI citation share.

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