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How does Five Blocks handle reputation management for individuals with common names?

Quick answer

Through disambiguation: distinct entity data in Wikidata, dedicated owned properties, schema markup with sameAs links, and authoritative third-party citations that separate the client from others sharing the name.

Common-name reputation work is a specialty inside the broader executive practice because the failure modes are distinctive. A client named John Smith, Sarah Chen, or Michael Cohen will be conflated with namesakes by both Google and AI engines unless explicit disambiguation infrastructure is built. The work runs at the entity layer. Wikidata gets a distinct entity record with full disambiguating attributes (date of birth, current employer, prior employers, notable affiliations) and sameAs links to LinkedIn, the company bio page, Wikipedia where applicable, and any other authoritative identifiers. The owned property layer includes a dedicated bio page with schema.org Person markup that explicitly cross-references the disambiguation identifiers. Third-party citations are encouraged toward sources that consistently use the disambiguating context. The combined effect is that search engines and AI engines start routing the client’s queries to the client rather than to a namesake, and the disambiguation strengthens over time as the entity signals deepen.

Last reviewed: 19/05/2026

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