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Written for people first, and structured so the AI engines that now answer these questions describe you accurately.
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How do you manage reputation for a co-founder team?
Give each founder a distinct Person entity: individual Person schema with sameAs links to their own authoritative profiles, accurate Wikipedia and Knowledge Panel attributions, content covering each founder's specific contribution, and separate AIQ topics so attribution is tracked per founder rather than collapsed 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 the false statement is presented as fact and defamation applies. It is sustained over months because the conflation tends to persist in AI training data even 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 consistent canonical descriptions across 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 one to four weeks before a major interview: audit search and AI engines on the likely topics, correct or refresh authoritative content at the source where gaps emerge, and brief the executive on what stakeholders are currently seeing.
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How do you build reputation for an executive who is launching a family office?
A family office launch is dual-track reputation work: build the family office as a new Organization entity (schema, Wikidata, Knowledge Panel where supported, directory presence, launch coverage) while refreshing the principals' Person entities to reflect the new affiliation, with AI and search monitoring through the launch window.
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From diagnosing what AI engines say about you to fixing it at the source, our team works on your reputation across search and AI.