Use case
Repair a Damaged Reputation in AI Answers
Rebuild the story AI tells about your brand
When AI assistants describe your brand, they synthesize from whatever the web says — including old controversies, outdated reviews, resolved lawsuits, and negative think-pieces that no longer reflect reality. Reputation repair is the structured process of shifting the citation set AI draws from so the answer reflects who you are now, not the worst moment in your history.
The problem
Unlike brand defense, which protects a healthy reputation, repair starts from a deficit: AI is actively surfacing negative, outdated, or inaccurate framing when people ask about your brand. Suppression tactics don't work on AI — you can't push a bad result to page two because there is no page two. The only durable fix is displacing the negative citation sources with stronger, more authoritative, more current ones.
Our approach
Diagnose the negative citation set
We identify exactly which sources AI pulls from when it frames your brand negatively — the specific articles, threads, reviews, and pages driving the narrative on each platform.
Assess factual accuracy vs. framing
We separate genuinely inaccurate claims (which we can correct with authoritative counter-content) from unflattering-but-true framing (which we address through balance and context, never by fabricating claims).
Publish current, authoritative counter-content
We produce structured, citation-ready content that reflects the current state of your brand — resolved issues, new leadership, updated policies, recent third-party validation — engineered to be extracted over the stale sources.
Earn fresh third-party validation
We help earn current, neutral-to-positive coverage on the authoritative sources AI weights, so the citation set shifts toward recent, credible framing.
Monitor sentiment and narrative recovery weekly
We track how each platform describes your brand week over week, watching sentiment, cited sources, and the language AI uses, until the answer stabilizes on the current narrative.
What outcomes look like
Sentiment and narrative tracking across every major AI platform
Typical window to shift the dominant AI narrative to current framing
From stale negative citations toward current, authoritative sources
Recovered narratives hold as long as fresh content is maintained
Who it's for
FAQs
Can you delete negative content from AI?+
No — and any agency that promises deletion is misleading you. We can't remove sources from AI training data or the live web. What we can do is displace the citation prominence of negative sources by publishing and earning stronger, more current, more authoritative content that AI prefers to cite.
How is reputation repair different from brand defense?+
Defense protects a healthy reputation from erosion and displacement attempts. Repair starts from an active deficit — AI is already surfacing negative framing — and works to shift the narrative back toward current reality. Repair is more intensive and takes longer than defense.
What if the negative framing is accurate?+
We never fabricate claims or bury true information. Where framing is accurate but outdated or missing context, we work to surface the current state and full context so the AI answer is complete and fair, not one-sided against a moment that's since been resolved.
Run this play for your brand
Book a free strategy call. We'll scope this exact use case against your business and show you what month-1 looks like.
Book a free strategy callOther use cases
Displace Competitors in AI Answers
Out-cite the incumbents AI keeps recommending
Create and Own a New AI Category
Define the category before competitors define it for you
AI-First Product Launch
Launch loud — in AI answers, not just on Product Hunt
Lead Generation Through AI Search
Turn AI citations into qualified pipeline