How to Structure Person Schema for Pseudonymous Web3 Authors Using ENS Data

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Developer Gabriel Mangabeira has published a technical guide on how pseudonymous Web3 authors can structure Person schema markup to help search engines and AI tools verify authorship when no legal name or traditional biography exists. The guide recommends using identifier fields with PropertyValue objects to represent ENS names and Ethereum wallet addresses, rather than treating wallet data as the core identity itself. It also advises using sameAs to link to resolved identity profiles such as web3.bio, and reserving hasCredential strictly for independently verifiable credentials. The piece is aimed at crypto and DeFi publishers, whose content often falls under Google's YMYL category, making author trust signals especially important for search quality evaluation. Mangabeira cautions that this approach should be framed as identity verification rather than an SEO ranking tactic, as no confirmed evidence links structured wallet data to improved rankings.

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