AI is telling your brand's story to buyers. We make sure it's the true one.
Ask an engine about your brand and it answers from whatever it has read: an old forum thread, a competitor's comparison page, a review from 2019, a product you discontinued. When that story is wrong, it costs you deals you never see. We find where the engines learned it, and fix it at the root.
AI sentiment repair finds the sources teaching ChatGPT, Claude, Gemini, and Perplexity something wrong, outdated, or unfair about your brand, then corrects, updates, or outweighs those sources, so the description buyers hear from AI matches reality.
How does AI get a brand wrong?
Engines do not know your brand. They know what the web says about it, weighted by trust. That means the failure modes are predictable:
- 01 Stale facts: old pricing, dead products, a previous positioning, an office you left years ago
- 02 Someone else's framing: a competitor's comparison page is the most-read description of you
- 03 One loud thread: a single old complaint outranks a hundred quiet happy customers
- 04 Mistaken identity: the model blends you with a similarly named company
- 05 Thin coverage: the engine finds so little that it hedges, and a hedge reads as a warning
How repair actually works
We start from the answers, not the assumptions. We run the prompts where your brand appears, capture what each engine says, and trace every wrong or damaging claim back to the sources the models are reading. That trace is the diagnosis.
Then we fix the root. Sometimes that is your own site: a stale page still telling the old story. Sometimes it is third-party: an outdated directory entry, a mischaracterization we can get corrected, a gap where your side of the story simply does not exist in writing. And where a negative source is real and immovable, we build the accurate, well-structured coverage that outweighs it, so the models have something better to read.
What we can and cannot do
Honesty first: nobody can delete things from the internet, and nobody controls what a model generates. Anyone selling guaranteed removal from ChatGPT is selling something imaginary. What we control is the source layer: what exists, what is current, what is structured well enough to be read. Change what the models read and you change what they say. That is the entire method, and we show you every step of it.
What you get
- A full capture of how each engine describes you today
- Every wrong or damaging claim traced to its source
- Corrections and updates shipped, on your site and off it
- Accurate coverage built where your side of the story is missing
- Before-and-after tracking, so you see the description change
Sentiment Repair: FAQ
- ChatGPT says something false about my company. What can I do?
- Find the source, then fix the source. Models repeat what they read, so a false claim almost always traces back to real pages: stale content, a wrong directory entry, someone else's framing. Correct or outweigh those and the answers follow. That trace-and-fix work is exactly what our sentiment repair service does.
- Can you remove negative information from AI answers?
- No one can, and you should walk away from anyone who guarantees it. What can be done is correcting what is factually wrong, updating what is stale, and building enough accurate, well-structured coverage that the negative item stops being the loudest thing the models read. That moves answers, and we track the movement so you see it.
- How long does sentiment repair take?
- Source fixes can be shipped within weeks. The engines then need to re-read: answers typically start reflecting corrected sources within one to two months, with cached or trained knowledge taking longer to fade. We track your prompts throughout so you watch the description shift rather than taking our word for it.
- What if the negative thing AI says is true?
- Then repair means context, not cover-up. We make sure what the engines read includes what changed since: the fix you shipped, the policy you replaced, the years of record after the incident. Models weigh recency and completeness, and an accurate current picture beats an unanswered old one.
- Is this the same as online reputation management?
- It is the AI-era version of it. Classic ORM pushes bad links off page one. Sentiment repair works on what AI engines say, which means working on the sources models read and cite rather than on a ranking. Different mechanics, same goal: buyers hearing an accurate story.
Find out what AI says about you. Before your buyers do.
The free audit captures how every major engine describes your brand today. Some clients are surprised. Better to be surprised now.