Crisis Scenarios

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

• We’re facing a litigation-related reputation attack. Can you help?

  Yes - litigation-adjacent reputation work is one of our most common engagements. We coordinate every public-facing decision with your counsel and focus on the layers that work without public statements: entity strengthening, authoritative content on owned properties, source-level correction requests on factual errors, compliant Wikipedia work, and continuous search and AI monitoring.

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• How do you manage reputation when an employee becomes a public whistleblower?

  A public whistleblower situation requires legal-led coordination on what can be addressed, strictly non-retaliatory messaging, daily AIQ monitoring across the eight AI engines AIQ currently tracks, active employee engagement across the broader organization, and authoritative owned content covering the company's operating record and any policy changes made. Resolution usually takes months; the digital infrastructure built during the situation stays in place long after.

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• How do you manage reputation when AI generates false crisis narratives?

  Respond in four stages: detect and monitor the false claim with AIQ, trace it to the one or two root source inputs, correct those inputs and publish authoritative content on owned properties, then use the remediation channels OpenAI, Google, and Anthropic offer. Retrieval-based engines can shift within weeks; training-based engines update at their next cycle.

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• How do you manage reputation after executive misconduct allegations?

  Executive misconduct allegations demand unusual restraint in the first week: rapid diagnostic, close legal coordination, and daily AI narrative monitoring, but little public action. The reputation infrastructure built during this period is designed to support either outcome (separation or exoneration) as facts develop.

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• How do you manage reputation when named in a lawsuit?

  Being named in a lawsuit sets off a predictable sequence online: the complaint gets covered, AI engines pick up the plaintiff's framing, and the branded SERP fills with one-sided filing coverage. The reputation response runs alongside legal counsel and has four parts: daily AIQ monitoring on the specific narrative threads, authoritative owned content on the broader operating record (not the matter itself), and factual-error corrections submitted through editorial channels.

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