Remove Negative Content from Google & AI | Reputation Management
An AI model does not have a page two.
We correct the record at the source.
Our Online Reputation Management Process
Reputation and AI Visibility Audit
We map every mention, review, and piece of content across search engines, then run a defined set of prompts across ChatGPT, Gemini, Perplexity, Claude, and Google AI Mode and record exactly what each says about you.
Reputation Strategy
Not every negative result should be attacked. Some are minor, some are legitimate, and some fights make things worse by drawing attention. We tell you which is which before spending your budget.
Search Suppression and Implementation
Content that genuinely deserves to rank: owned properties, professional profiles, earned coverage. Where a negative AI claim traces to a specific outdated page, we address it at the source.
Monitoring Across Search and AI
Search positions get tracked. AI answers get re tested on a schedule, because a model that describes you correctly this month may retrieve differently after the next update.
Why Online Reputation Management Changed With AI Search
Traditional reputation management was a ranking exercise. Push the bad result to page two, where almost nobody looks.
That no longer holds, for one reason. An AI model does not have a page two.
When a prospect, investor, or candidate asks an AI assistant about your company, the model writes one answer from whatever it retrieves. An old lawsuit write up or a since corrected news story gets absorbed into a confident summary and presented as fact.
Suppression alone is no longer enough. The record has to be corrected at the source the model retrieves from.
Search Suppression vs AI Answer Correction
| Classic suppression | AI answer correction | |
|---|---|---|
| Objective | Move negative results off page one | Change what the model asserts |
| Method | Outrank the unwanted result with better content | Correct and outweigh the sources the model retrieves from |
| Where you measure | Google and Bing search results | Prompt level testing across five AI engines |
| What success looks like | The result sits on page two or lower | The model states the accurate version or declines to repeat the claim |
| Failure mode | The result climbs back | The model repeats an outdated claim as current fact |
| Timeline | Three to six months | Two to five months, though model refresh cycles vary |
The two share a mechanism, which is why we run them together. What ranks tends to be what gets retrieved.
What Is AI Reputation Management?
AI reputation management is the practice of monitoring and improving how a person or company is described by generative AI systems, by correcting the underlying sources those systems retrieve from and strengthening the accurate, authoritative content that competes with them.
Our Reputation Management Ethics
We build and rank accurate, substantive content. We correct factual errors at the source. We strengthen your legitimate presence across the properties that carry authority. We monitor and report honestly, including when progress is slow.
We do not fabricate reviews, create fake profiles, or attempt to manipulate an engine into stating something untrue. Beyond the ethics, it does not survive contact with modern spam detection, and the cleanup costs more than the original problem.
If the underlying issue is a real one, the honest answer is usually a combination of addressing it and building a stronger true record around it. We will say that.
Trusted by B2B technology companies since 2005
Online Reputation Management FAQs
Can you remove negative content from Google?
Only the site owner or a legal process can remove content. What we can do is suppress it, building and ranking content strong enough that the unwanted result falls to page two or beyond. Where content is defamatory or violates a platform’s policies, removal requests are sometimes viable and we will tell you when that is the better route.
How do I find out what AI says about my company?
Ask it directly, across several engines, using the phrasing a prospect would use. Not just your company name, but whether your company is reliable, what the problems with it are, and what the alternatives are. Different models retrieve different sources, so test all of them.
Why does ChatGPT say something outdated about us?
Models are trained on data with a cutoff, and retrieval augmented answers pull from whatever ranks now. If an old article still ranks well, it may still be retrieved. Correcting this means making the current, accurate version more visible and authoritative than the outdated one.
How long does reputation management take?
Three to six months for meaningful movement in search results, depending on how established the negative content is. AI answers can shift faster or slower, sometimes within weeks of the underlying sources changing, sometimes only after a model refresh.
Is this only for companies, or individuals too?
Both. Executive reputation is frequently the issue for B2B companies, because a buying committee researching a vendor will search the CEO by name.
How much does it cost?
It depends on how entrenched the content is. A single unwanted result on a low authority site is a small project. Sustained negative coverage on major publications is a long campaign. We scope after the audit, so the number reflects your actual situation.
Find out what is being said, including by the machines
We will show you what appears in search and what five AI engines say about you today.
