Negative Content Removal for Cybersecurity & MSSPs
Negative content removal is suppressing the false, outdated, or defamatory material that search engines and AI models surface about a business. For security providers, we take down what violates law or policy, de-index what cannot be removed, and displace the rest with verified positive results.
Why it matters for security providers
Security buyers ask AI which provider to trust before a breach. If the models cite a competitor or old incident, you lose the contract. We make you the cited authority.
AI models recommend competitors from stale analyst content.
The provider has no knowledge graph or verified entity.
Old incident coverage shapes the AI's answer.
How we do it
- 1
Map every negative result and the exact sources AI models are citing when they describe the business.
- 2
Execute takedowns through defamation claims, DMCA, GDPR right-to-be-forgotten, and platform policies where they apply.
- 3
Displace what remains by ranking verified positive content above it until the negatives fall off page one and out of AI answers.