Repair what AI engines say about you
Correct false, outdated, or defamatory AI summaries — not by arguing with the model, but by fixing the public-web sources every engine retrieves, cites, and summarizes.
AI platforms do not invent reputation from nowhere
They summarize, cite, and infer from public web sources, search indexes, media coverage, knowledge graphs, reviews, social content, and trusted third-party references. Reputation management in the AI era means improving the underlying public-web evidence that AI systems retrieve, cite, and summarize.
Public web pages
Authoritative sites, bios, about pages, and structured content AI can crawl and quote.
Search indexes
The ranked results engines retrieve and synthesize — especially for RAG-based answers.
Media & news coverage
Articles and press that engines cite as evidence and weight heavily in summaries.
Knowledge graphs
Entity panels and structured facts (e.g., Google's Knowledge Graph) that feed AI answers.
Reviews
Ratings and review-platform content that shapes how AI describes a brand or person.
Social content
Posts and threads (X, Reddit, forums) that real-time engines like Grok retrieve directly.
Trusted third-party references
Regulator filings, court records, Wikipedia, and established reference sources.
Fix the sources, and you fix what every AI engine retrieves, cites, and summarizes.
OpenAI says public websites can appear in ChatGPT Search, and recommends allowing the OAI-SearchBot crawler if you want your content included in summaries and snippets.
Implication: crawlability and structured, accurate content directly shape what ChatGPT Search retrieves and cites.
Google says generative AI features (AI Overviews, AI Mode) still depend on foundational SEO — crawlability, indexing, clear structure, and useful content.
Implication: classic SEO fundamentals remain the lever for what Google's AI surfaces and summarizes.
What we repair
Hallucinated claims
False or fabricated allegations an AI states confidently as fact, traced to the sources the engine retrieved or was trained on.
Outdated information
Old roles, resolved incidents, or stale coverage that engines still summarize as current.
Entity confusion
Being merged with a namesake — a different person or company that shares your name.
Negative citation dominance
A single hostile source coloring the entire summary because it ranks highest.
Stale AI summaries
Corrected stories resurfacing because the original page still ranks and is still retrieved.
AI Overview & answer-engine drift
Unfavorable Google AI Overviews, Perplexity answers, or Copilot summaries persisting above your own content.
The repair process
Audit the answers
Capture exactly what each engine generates for your name, brand, and key queries today.
Map the sources
Identify the specific pages each engine retrieves, cites, or was trained on for your name.
Correct & suppress
Remove or correct inaccurate source material through lawful takedown, deindexing, and factual correction.
Publish authoritative content
Create well-structured, schema-marked, crawlable replacement content engines can retrieve and quote.
Monitor & re-engage
Track answers as models and indexes update, and re-engage until the corrected sources flow through.
AI reputation repair — asked the way you'd ask a chatbot
The exact questions users type into AI assistants about repairing false summaries, with authoritative answers.
Can you repair what ChatGPT or Gemini says about me?
Yes — by fixing the underlying sources. We cannot rewrite a model directly, but we change the public-web content AI engines retrieve, cite, and re-ingest. As the engines re-retrieve and update, their answers reflect the corrected, authoritative sources.
How do you remove false information from AI answers?
You cannot selectively delete a fact from a model. We remove or correct the live source pages the engines retrieve and cite — through lawful takedown, factual correction, deindexing, and suppression — and publish current, authoritative replacement content the engines retrieve instead.
What is RAG hallucination remediation?
Retrieval-augmented engines (Perplexity, Google AI Overviews, Copilot) hallucinate when they retrieve a bad source. We remediate it at the retrieval layer — correcting or suppressing the specific source pages — so the retrieval step surfaces truthful material, rather than attempting to alter model weights.
How long does AI reputation repair take?
Retrieval-augmented engines can update in hours to weeks as their indexes refresh. Training-grounded answers in chat models update on model cycles of weeks to months, which is why source-level correction must start early and continue with monitoring.
Is AI reputation repair legal?
Yes. We use only lawful, evidence-based methods — publishing accurate content, correcting inaccurate sources through legitimate channels, and working within platform mechanisms. We do not manipulate models through illegitimate means, and nothing here is legal advice.
Start repairing your AI reputation
Tell us what the engines are getting wrong. We'll map the sources and build the correction plan.
info@digitalbankvault.com