Ask ChatGPT, Gemini or Perplexity “Is [your name or company] trustworthy?” and you will get a confident, two-paragraph answer. Your future clients, investors and hires are already asking. That answer is now part of your reputation, and most people in New York have never read it. This is where AI reputation management comes in: the practice of checking and improving how AI tools describe, compare and recommend you.
This guide shows you how to audit what AI says about you, why it says it, and what you can realistically do when the answer is wrong, outdated or unfair. It ends with a 30-day action plan you can start this week.
What Is AI Reputation Management?
Classical online reputation management deals with the things that can be seen at the top of Google results page: news, reviews, complaint websites, social media profiles. Reputation management includes removal, suppression and creation of positive content.
AI reputation management involves additional platforms, AI answer engines like ChatGPT, Google AI Overviews, Gemini, Copilot and Perplexity. Those systems not only give links but sum up the found information into one answer usually in terms of “pros and cons.” What does your AI search reputation consist of? It is the answer that AI gives out. When the AI gives you an answer based on the information found from an outdated complaint or limited sources, you have a problem.
There is a lot of intersection between those two types of reputation management. However, there are some differences that are shown in the table below.
| Traditional online reputation management | AI reputation management | |
| Where it shows up | Google results, review sites, social profiles | ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews |
| What the reader sees | A list of links | One written summary, sometimes with cited sources |
| What you can change | Your own pages; removal requests to sites and platforms | The same sources, not the AI’s answer itself |
| How you check it | Search your name and brand | Ask the questions an AI user would ask, and log the answers |
| How often to check | Monthly, or after a news event | Monthly, because answers change between runs |
Why It Matters Now
Individuals have increasingly turned to AI applications to do research about a business or professional prior to reaching out. According to the 2025 Attest survey quoted by GoFish Digital, over half of consumers (52%) identified ChatGPT as their go-to AI search application. The analysts have also forecasted a drop in traditional search volumes due to the increased role of AI answers in the process.
For a law firm, wealth manager, clinic, or startup located in New York, this alters the first impression in two ways, making AI reputation management a must:
- You might never get mentioned:If there is insufficient reliable information available on you, an alternative company will be recommended.
- You might be negatively characterized: It takes only one viral review, a closed case in court or an old article for you to appear in the AI answer.
The true AI reputation management consists in knowing both ahead of the prospect.
How AI Tools Decide What to Say About You
Although no outside authority dictates how it happens and although it will differ from one AI application to another, there are certain features that recur:
- Third party sources: Newspapers, reviews, directories, and industry publications count for more than your own website.
- Community conversations: Reddit threads have grown to be very visible on Google and serve as a frequent element in AI-generated responses. For example, according to one study, which quotes Search Engine Journal, Reddit’s share of Google top-three results grew from 8.56% to 10.24% following the May 2026 core update.
- Consistency: With consistency of your name, services provided, and other details on various sites, the margin of error for the AI becomes lesser.
- Recency: More recent is better, and therefore, new information can be favored over outdated information.
- Structure: Properly organized and clearly understandable pages leave fewer chances for errors.
The lesson here is simple: the AI does not invent your reputation from scratch. The AI reproduces what your sources say about you. This is why the task of AI reputation management is largely about correcting and improving these sources.
What a Weak and a Strong AI Answer Look Like
The example below is an illustration only. “Hartwell Legal” is a made-up New York employment-law firm.
Weak answer: “The firm Hartwell Legal is a small one in New York. Reviews are not all positive and some customers have pointed out poor communication. No independent information is found.”
Better answer: “Hartwell Legal is an employment law firm based in New York. It is included in two directories and is mentioned in the local business press. Most client reviews are positive about responsiveness. Some older ones have pointed out delays.”
The firm did not change the AI. It changed the sources: it answered old reviews professionally, completed its directory profiles, and published clear pages about its practice and team. That is the pattern behind most AI reputation management wins.
Step 1: Audit What AI Says About You
Open ChatGPT, Gemini, Perplexity and Google (find the AI Overviews tab) in a new private window. Start by assessing your ChatGPT Brand Reputation, then your Google AI Overviews Reputation, because each one uses a different source of information. You will use these prompts
- “Who is [name]?”
- “Is [company] legit or a scam?”
- “What are the complaints about [company]?”
- “Best [your service] in New York” (to see whether you are recommended)
- “[Company] vs [competitor]”
Copy each answer into a spreadsheet and note three things:
- Accuracy: Is anything false, outdated or mixed up with another person or company?
- Sentiment: Is the tone positive, neutral or negative?
- Sources: Which pages does the tool cite? Perplexity and Google usually show links; for ChatGPT you can ask, “What sources support that?”
This ensures consistency in the comparison of results from month to month. Below is an initial template with a sample row:
| Date | Tool | Prompt | Accurate? | Sentiment | Sources cited | Action |
| 2 Nov 2026 | ChatGPT | “Is [company] legit?” | Partly | Mixed | Review site, 2023 news article | Report review; request article update |
Ask identical questions every month. The AI’s response varies each time, so a single test does not suffice. This report is a starting point for AI reputation management free of charge. A regular AI Reputation Management audit also helps identify changes in sentiment, missing information, and newly cited sources over time.
Step 2: Fix the Sources, Not Just the Answer
In AI reputation management, the response is a symptom, while the sources are the problem. One cannot edit the words of ChatGPT itself. They could alter what ChatGPT learned from the pages. Here are the steps for the sources revealed by the audit:
Inaccurate or defamatory pages: Approach the site owner to request an alteration to the problematic parts. However, should the page infringe the guidelines set out by the website as well as the law, then a takedown request could be made. Nonetheless, nothing is guaranteed in such a scenario. Effective AI Reputation Management starts with identifying the original source of inaccurate information and pursuing corrections through the appropriate channels.
Outdated content: Old articles and records can often be updated, anonymised or delisted. In the US, Google’s “Results about you” tool can remove some personal contact details and, since February 2026, certain ID numbers from search results. It will not remove the page from the internet.
Unfavorable or fraudulent reviews: Report any review that violates platform guidelines, with proof. Google, Trustpilot and Glassdoor each make decisions according to their individual criteria, rather than based on the impact the review has. Rules for platforms can also change, so be sure to check each of their policies pages.
Reddit and forum threads: Don’t engage in debate or use fake accounts. Respond once only, in a calm manner, correct any misinformation and address the customer issue.
Search results you cannot remove: Suppression creates content that is factual and credible, which ranks higher than the problematic website in the search engines.
Step 3: Build Sources AI Can Trust
Fixing problems is half of AI reputation management. The other half is giving AI tools good information to find:
A strong AI Reputation Management strategy combines accurate website information, credible third-party mentions, consistent business profiles, and genuine customer feedback.
- Improve your own pages: Include an “About,” services, team and FAQ page filled with facts and correct names.
- Third-party references: References about you from industry directories, media, podcasts and quotes from experts are more powerful than anything you can write yourself.
- Get genuine reviews: Have your actual clients write a review of you, and abide by platform policies. Google’s Review Policy Until 2026 will not allow such practices as review gating and quotas for employee reviews, so make sure to review your current one.
- Keep your profiles consistent: You have to make sure that your name, address, phone number, and description are identical in Google My Business, LinkedIn, and directories.
- Write answers to typical questions: Short answers to frequently asked questions, such as “Is [company] legitimate?” and “What is the price for [service]?” give AI something to quote.
Step 4: Monitor Monthly
AI reputation management is an ongoing process rather than a sporadic effort:
- Audit your prompts every month and benchmark them to the previous record.
- Monitor any new reviews, mentions, and rankings of your name.
- Fix new issues in days, not in months.
- Refresh important pages every three months to ensure currency of dates and facts.
There are special tools for AI reputation management, but you can start with a simple Excel sheet and half an hour a month. For businesses that depend on digital visibility, AI Reputation Management monitoring can reveal whether updates to important sources are reflected in AI-generated answers.
Your 30-Day AI Reputation Management Action Plan
Here’s how you can implement your AI reputation management on the cheap:
- Week 1 – Audit. Apply the prompts listed above in four platforms, document all responses, and list sources cited.
- Week 2 – Triage. Consider the level of harm each of these problems poses, and how easily it can be solved. Ask for corrections where necessary and report any violations that occur.
- Week 3 – Build. Edit your About, Team, Services, and FAQ pages, ensure that your profiles are consistent, and create one piece of content.
- Week 4 – Measure. Repeat audit from Week 1 and set monthly reminders for comparison.
Industry Notes: What to Watch by Sector
AI reputation management looks slightly different in each profession:
- Law Firms: There will be limitations to your responses due to issues with confidentiality. Answer without revealing any client or case information.
- Healthcare: It is expected that you keep the confidentiality of your patients intact in your response. Do not confirm whether the patient is the person leaving the review.
- Finance & Insurance: Do not try to hide any mandatory disclosures. Include context in your answers but follow the rules.
- Real Estate: See to it that your agent’s profile and listings are up-to-date on Zillow and Realtor.com.
- Software & SaaS: Update your G2 and Capterra profiles as they could ask for an AI comparison.
Common AI Reputation Management Errors to Avoid
Most mistakes stem from these common avoidable errors:
- Buying or faking reviews. It breaks platform rules and can get reviews removed or your profile penalised.
- Posting under fake accounts. Reddit and other communities spot it quickly, and it makes the story worse.
- Judging by one answer. Check several tools and several wordings of each question.
- Expecting everything to be removable. Plan for correction, suppression and new content, not removal alone.
- Replying in anger. A calm, factual reply helps both readers and AI tools.
- Trusting guarantees. Be wary of anyone who promises removal or a specific AI result.
- Checking once. Answers change, so schedule the next audit before you finish this one.
What About AI Defamation?
In the scenario that an AI tool gives a false and defamatory statement about your identity, the available courses of action are yet to be defined. In 2025, an American court granted a summary judgment to OpenAI in the Walters v. OpenAI case concerning the dissemination of a false ChatGPT response because of the tool’s disclaimers and the absence of any proven harm. Legal professionals who have reflected on the first set of cases indicate that the law is still relying on existing defamation laws and that plaintiffs are having difficulties proving their cases.
The practical way to deal with the problem of AI reputation management is therefore to take a screenshot of the false answer along with its date, utilize the feedback/correction system provided by the AI tool, get the faulty pages on which the false information was published removed or corrected, and talk to an attorney if the damage is severe.
Why New York Professionals Need to Act Early
In the world of legal, financial, healthcare, real estate and startup market competition in New York, trust will determine the deal. Prospects will check on you before even coming to meet with you. In case the AI summary doesn’t mention your strong points or raises up a past issue, you will never understand why you didn’t get the call. It’s much simpler to start AI reputation management when the problem is still manageable.
How Erase Negative Links Can Help
Almost all of this can be done within an organization. Sometimes specialist assistance is required, particularly if there are multiple platforms or defamatory websites involved. Erase Negative Links assists with the source fixing process of AI reputation management through:
- Services to have fake and policy-breaking reviews removed from Google, Trustpilot, Glassdoor, and other sites.
- Content removal services to have damaging, false or old content taken down.
- Search result suppression to move down unwanted search results which cannot be removed.
- Reputation monitoring services to follow your review activity, mentions and rankings.
- Crisis management services in the event that there is any spread.
Each case is evaluated individually, and outcomes vary based on policies and laws of each platform.
Frequently Asked Questions
What does AI reputation management mean in easy language? It refers to analyzing what AI applications say about you and enhancing the sources on which their information relies.
Is there a way to get rid of my identity from ChatGPT? No, but you can submit your feedback via feedback mechanisms of the tool, and the solution will be to fix the sources.
Which AI tools should I check? ChatGPT, Gemini, Perplexity, Microsoft Copilot and Google’s AI Overviews are a sensible starting set. Add any others your customers use.
Will improving my Google search results improve the response from ChatGPT? It usually works, as most AI applications utilize similar information. There are no guarantees as to how a specific tool will respond.
How long will it take to make changes to the information that AI tools display about me? The timeframe depends on the sources used and the competitiveness of your name/brand. Changes sometimes become visible in several weeks; bigger changes may take months.
Is this different from SEO? AI reputation management and SEO overlap. SEO helps you rank; reputation work controls what appears and how you are described. Both feed the sources AI tools use.
Should I get a pro? Audits that are easy to do yourself. Complicated situations, such as defamatory information, court documents, attack reviews or multiple websites, are often best left to pros.
The First Step
AI-generated answers will continue to set those initial impressions, which means AI reputation management is something to consider starting right away. Begin with the audit shown above this week, and tackle your biggest sources first.
If you want a specialist’s view, Erase Negative Links offers a free, confidential reputation audit covering Google results, reviews and social mentions, with a clear plan for removal, suppression and building trust. See our online reputation management services or request your audit today.