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Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

• How do you manage the digital legacy of a deceased executive or founder?

  Update Wikipedia and Wikidata to reflect the full record under a neutral point of view, and reframe the foundation or corporate site to lead with the legacy rather than the operational period. Then monitor AI engines for misattributed quotes and unsupported claims, and keep authoritative content flowing where the family or foundation continues active work.

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• How do you handle an executive’s digital reputation after they retire?

  Update the entity signals to reflect retirement, make sure Wikipedia and Wikidata cover the full career, refresh authoritative content tied to current activities (advisory, philanthropy, board roles), and monitor the AI narrative, which can drift toward the operational years as training data ages.

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• How do you build a digital presence for an executive who values extreme privacy?

  Even an executive who wants extreme privacy needs a baseline of entity hygiene: accurate Person schema, accurate Wikidata, and an accurate Wikipedia entry where one is warranted. That lets AI engines and search disambiguate and describe them correctly without any active visibility. The discipline is restraint, not absence.

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• How do you manage reputation for an executive who is transitioning between industries?

  Work two layers at once: re-point the executive's existing reputation infrastructure (bios, Wikipedia and Wikidata, Knowledge Panel signals, LinkedIn) to lead with the new-industry role, and build fresh topical authority in the new sector through sustained content, speaking, and credentialed bylines. Recalibrate AI-narrative monitoring to the new industry's prompts and peers, since engines anchored to older training data can keep describing the executive in terms of the prior domain until newer, authoritative signals accumulate.

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• How do you manage reputation for an executive who is being recruited for a board seat?

  Get the candidate's public record accurate before candidacy starts: a complete, current LinkedIn; a corporate bio with Person schema; an accurate Wikipedia article written to NPOV where one exists; and a Knowledge Panel with the right role and affiliations. Add an AIQ audit of how the major AI engines describe the candidate, so factual errors are corrected before a reviewer sees them.

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