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

Quick answer

Factual errors in news articles are addressed by submitting a correction request through the outlet's editorial process - most reputable outlets correct documented errors when the request is properly sourced - plus authoritative counter-content where corrections are not possible.

Factual errors in articles are addressed through the outlet’s own corrections process: most reputable outlets publish a corrections policy and will correct documented factual errors when the request is properly sourced, backed by authoritative counter-content for cases where a correction is not made.

Five-step correction-request workflow: 1.
The correction-request workflow for factual errors in news articles: identify the false claim, attach primary-source documentation, send to the outlet's corrections contact, await a days-to-weeks response, and fall back to authoritative counter-content where the outlet does not correct — with AIQ™ monitoring for persistent AI-training-data errors.

The correction-request discipline

The discipline is in the request itself – correct the fact, not the framing (framing is editorial and outlets will not change it).

  1. Identify the specific false claim. Pin down the exact factual statement that is wrong, not the tone or angle of the piece.
  2. Attach primary-source documentation. Establish the correct fact with underlying records – a regulatory filing, court record, official statement, or contemporaneous reporting.
  3. Send to the corrections contact. Submit to the outlet’s standard corrections email or contact with the article URL, the specific passage at issue, and the supporting documentation.
  4. Await the response. Outlets typically respond within days to weeks. Many corrections are made quietly, with an updated note added at the bottom of the article.
  5. Fall back to counter-content. Where the outlet does not correct, build authoritative content covering the accurate facts through credentialed third-party coverage, structured owned content, and entity-layer reinforcement.

Why the AI layer matters

Monitor with AIQ, because uncorrected legacy errors can persist in AI training data and continue to surface in engine answers long after the original article stops driving search traffic.

Last reviewed: 19/05/2026

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