Common Scenarios

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

• How do you handle news articles that contain factual errors about your company?

  Factual errors in articles are addressed by submitting correction requests through the outlet's editorial process (most respectable outlets do correct documented errors) plus authoritative counter-content where corrections are not possible.

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• How do you manage search results after a company settles a lawsuit?

  Post-settlement search work produces authoritative content covering the resolution, secures fresh credentialed coverage where possible, updates Wikipedia and Knowledge Panel signals, and monitors AI narratives as legacy content decays.

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• How do you manage reputation when a company goes public?

  Pre-IPO work builds Wikipedia and the Knowledge Panel, refreshes executive bios, deploys schema-marked corporate content, runs AIQ monitoring, and ensures the authoritative third-party coverage bankers and investors expect is actually visible.

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• Can a negative Forbes or Business Insider article actually be removed from Google?

  Removal of major outlet articles is rare. Durable response combines factual rebuttal where errors exist, source-level correction requests, authoritative competing content, and AI narrative monitoring as the article gets cited by engines.

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• How do you handle negative search results caused by someone with the same name?

  Same-name negative results require entity-disambiguation signals (Person schema with distinct biographical anchors, authoritative content, sameAs links to verified profiles) so search and AI separate the client from the other person.

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