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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 reputation for a co-founder team?

  Give each founder a distinct Person entity: their own Person schema with sameAs links to their own authoritative profiles, accurate Wikipedia and Knowledge Panel attribution, content covering what each founder specifically did, and a separate AIQ topic per founder so attribution is tracked individually instead of collapsing into one team.

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• How do you handle reputation when an executive is wrongly associated with a scandal?

  When an executive is wrongly tied to a scandal, the work runs on four tracks: diagnose which sources and which engines are conflating the executive with the actual party, pursue source-level corrections at the outlets that accept them, monitor the AI narrative, and escalate to counsel where a false statement is presented as fact and defamation applies. It runs for months because the conflation persists in AI training data after the live coverage is corrected.

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• How do you manage reputation for a philanthropist or donor who wants visibility?

  Visible philanthropy is structural reputation work: authoritative coverage of the giving and its impact, schema-marked giving entities (Organization, NGO, or NonprofitOrganization for foundations and programs), Wikipedia and Wikidata where notability supports it, and one consistent description of the philanthropist, the foundation, and recipients. Engines reward sustained substance over announcements.

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• How should an executive prepare their digital presence before a media interview?

  Pre-interview prep runs an audit-remediate-brief cycle, usually in the one to four weeks before a major interview: audit search and the AI engines on the likely topics, correct or refresh authoritative content at the source where gaps show up, then brief the executive on what stakeholders are seeing now.

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• How do you build reputation for an executive who is launching a family office?

  A family office launch runs two tracks at once. One builds the family office as a new Organization entity: schema, Wikidata, Knowledge Panel where supported, directory presence, launch coverage. The other refreshes the principals' Person entities to reflect the new affiliation, with AI and search monitoring across both through the launch window.

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