Lesson 5.3 · 19/3212 min5 sources
E-E-A-T for AI Search: Authors, Dates and Trust Signals
Apply E-E-A-T to AI search: named authors with real bios, visible dates, primary-source citations and honest freshness signals that AI engines can verify.
You'll be able to
- ✓Explain what E-E-A-T is and what it is not
- ✓Build author bylines and Person pages that machines and readers can verify
- ✓Publish dates correctly and update content without faking freshness
- ✓Add site-level trust signals: editorial policy, contact details, reviews
The short answer
E-E-A-T (experience, expertise, authoritativeness, trust) is Google's framework for judging content quality, and trust matters most. For AI search, show it with named authors who have real bios and credentials, visible publish and updated dates, citations to primary sources, an editorial policy and clear contact details. LinkedIn's own testing found expert authorship and clear timestamps helped AI visibility.
Inside this lesson
- What E-E-A-T is and isn't
- Authors: who wrote this, and why trust them?
- Dates: visible, labeled, honest
- Citations and site-level trust
- Hands-on exercise + knowledge check
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