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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, lead the foundation or corporate site with the legacy framing rather than the operational period, monitor AI engines for misattributed quotes and unsupported claims, and keep authoritative content current 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 entity signals to reflect retirement, ensure Wikipedia and Wikidata cover the full career, refresh authoritative content tied to current activities (advisory, philanthropy, board roles), and monitor AI narratives that 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 values extreme privacy benefits from a baseline of entity hygiene - accurate Person schema, accurate Wikidata, and an accurate Wikipedia entry where one is warranted - so AI engines and search can 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?

  Run two layers in parallel: transition 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, because 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?

  Prepare an executive for a board seat by getting the candidate's public record in order before candidacy: a refreshed, complete LinkedIn and a current corporate bio with Person schema; an accurate Wikipedia article where one exists, written to NPOV; a Knowledge Panel that reflects the right role and affiliations; and an AIQ audit of how major AI engines describe the candidate, so factual errors can be corrected before any reviewer encounters them.

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