E-E-A-T for AI Search: Building Trust Signals Machines Can Read
Experience, Expertise, Authoritativeness, and Trust aren't just for Google anymore. Here's how AI engines evaluate your credibility.
E-E-A-T isn't just for Google anymore
Experience, Expertise, Authoritativeness, and Trust became famous as Google's quality framework — but AI answer engines evaluate the same signals when deciding which businesses to cite. Models prefer sources and businesses that demonstrate verifiable credibility.
Experience and Expertise, machine-readably
Years in business, credentials, licenses, and specializations should appear not just in prose but in structured data. Review schema, Organization schema with founding date and credentials, and consistent author/owner information all help AI systems verify your expertise.
Trust as a technical feature
Consistent NAP (name, address, phone) data across the web, genuine review profiles, transparent policies, and clear contact information are trust signals both humans and machines check. Our schema and citation work makes these signals explicit and crawlable.
See how visible your business is to AI
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