Crisis Scenarios

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

• How do you handle reputation during a supply chain scandal?

  Supply-chain scandals (forced-labor allegations, environmental violations in supplier networks, sanctioned-entity discoveries) need four parallel workstreams: factual disclosure on owned properties, supplier remediation messaging, ESG-aware communications to ratings agencies and investors, and regulatory coordination. NGO sources frequently dominate AI engine narratives on these issues, and those narratives persist long after press cycles fade, so a sustained authoritative content layer is the core of the digital response, not an add-on.

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• How do you handle reputation when a company is named in a class action lawsuit?

  Class actions run for years, through filing, motion practice, certification, and settlement or trial, and the digital footprint persists across all of it. The reputation response is a continuous workstream: counsel-approved statements at each milestone, authoritative owned content on the company's broader operating record, IMPACT and AIQ monitoring for the full case duration, and source-level work at the points where the AI narrative tends to consolidate.

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• How do you manage reputation for a company accused of environmental violations?

  Managing reputation after an environmental violation means tailoring responses to three distinct audiences (regulators and trade press; mainstream media; NGOs plus ESG raters and AI engines) and monitoring what AI engines say daily, because NGO dossiers persist for years and routinely outweigh current remediation content in AI-generated company descriptions.

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• We had a data breach last year and it still ranks #2. Is that fixable?

  A year-old data breach article at position 2 can usually be displaced, but it takes sustained work over six to twelve months. The article has accumulated authority that Google weights heavily. The interventions that succeed run in parallel: authoritative current content on operations and remediation, refreshed entity signals across Wikidata and the Knowledge Graph, source-level work on outlets still citing the article, and editorial correction requests where the article contains factually outdated claims.

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• How do you handle reputation during M&A activity?

  Reputation work around M&A spans two phases: pre-announcement hygiene (entity signals, AI engine accuracy, Wikipedia currency) so diligence surfaces a clean picture on both sides, and post-announcement updates so the deal narrative propagates correctly across search, structured data, and the eight major AI engines tracked by AIQ.

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