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E-E-A-T Signals — Building Trust for AI Search Engines
How AI verifies content authority through Experience, Expertise, Authority, and Trust. GitHub CMS builds E-E-A-T signals automatically from YAML frontmatter.
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It's Google's framework for evaluating content quality, and AI search engines like ChatGPT and Perplexity apply similar criteria when choosing which sources to cite. GitHub CMS generates Person schema with E-E-A-T signals from YAML frontmatter author fields.
How GitHub CMS Builds E-E-A-T
Author credentials, certifications, and years of experience stored in YAML frontmatter generate Person schema with real-world experience signals.
Schema.org Person type includes author occupation and specialization. The category and tag system links expertise to specific knowledge domains.
Organization schema with legal details, certifications, and social links. Consistent entity relationships across the site build domain authority.
Clean URLs, canonical tags, SSL, git version history, and consistent metadata — all signals AI systems use to evaluate trust.
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GitHub CMS generates E-E-A-T signals automatically from your frontmatter
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