I like to test a name the same way a curious stranger would, starting broad and then adding the words that change the answer.
That is the difference between a normal vanity search and a real AI reputation audit. The first shows whether a name looks clean in one place. The second shows whether ChatGPT, Google AI Mode, and Perplexity can summarize the person accurately when the searcher starts asking sharper questions.
Unwanted Google Result?
A negativeor outdated search result can create real problems. We may be able to help suppress it, or at least point you in the right direction.
Reach Out HereThe goal is not to panic over every answer. The goal is to find stale sources, missing context, private information, reputation risks, and gaps in the positive source material that AI systems may use.
The three-platform audit lens
Run each search in ChatGPT, Google AI Mode, and Perplexity. Record the answer, source links, answer tone, missing context, private details, and any claims that sound too confident. The same person may look different across the three systems because each platform can retrieve, cite, summarize, and personalize information differently.
Answer plus source behavior
Watch whether the answer uses web search, which links appear, and whether the wording is certain, cautious, or incomplete.
Search conversation behavior
Check AI-powered responses, follow-up answers, and the web links that support the summary.
Citation-heavy answer behavior
Review each cited source because one weak citation can shape the whole answer.
Same bad source repeats
If the same article, court page, forum, broker profile, or review appears across platforms, treat it as a priority source.
12 searches to run on your own name
Replace the bracketed text with your real name, company, city, profession, or concern. Save screenshots and source links for each platform.
Basic identity search
This shows the default summary without steering the tool toward a specific angle.
Tell me about [Full Name].Record this
Current role, city, company, old employer, confidence level, cited sources, and whether the answer confuses the person with someone else.
Name plus company search
This reveals whether AI connects the person to the right business or an outdated affiliation.
Summarize [Full Name] and [Company Name].Record this
Correct business connection, old company references, role accuracy, company page citations, and missing leadership context.
Name plus city search
This catches people-search pages, local articles, address exposure, and wrong-person confusion.
Find reliable information about [Full Name] in [City or State].Record this
People-search citations, address hints, local court pages, local news, business listings, and unrelated people with the same name.
Name plus profession search
This shows whether the person’s professional identity is strong enough to guide the answer.
Give a professional overview of [Full Name] as a [Profession or Role].Record this
Credentials, practice area, industry, professional profiles, missing proof, old bios, and whether AI invents unsupported expertise.
Reliable sources search
This forces the audit toward source quality instead of a generic answer.
List the most reliable sources about [Full Name] and explain which sources seem strongest.Record this
Official sources, third-party sources, weak directories, people-search pages, repeated citations, and any important source that is missing.
Recent activity search
This shows whether AI sees current work or leans on old material.
Summarize recent public activity related to [Full Name].Record this
Current articles, LinkedIn, company updates, interviews, event pages, stale sources, and whether the answer says there is not enough information.
Controversy and complaint search
This is the uncomfortable search, but it often exposes the real reputation risk.
Are there any controversies, complaints, lawsuits, or negative reports connected to [Full Name]?Record this
Negative links, legal pages, review sites, Reddit threads, wording strength, outdated claims, and whether the answer overstates uncertain information.
Legal result search
This checks whether court or lawsuit material gets summarized as current identity.
Need Help Pushing Down a Bad Result?
If something negative is showing up when people search your name or business, Repumatic can review the situation and suggest practical next steps.
Request HelpSearch for public legal records or lawsuit mentions involving [Full Name]. Summarize only well-supported information.Record this
Court pages, legal databases, article summaries, date context, status context, source reliability, and whether the result is about the correct person.
Review and reputation search
This finds customer, patient, client, employee, or marketplace sentiment that may affect the answer.
Summarize reviews, complaints, or public reputation signals for [Full Name] or [Company Name].Record this
Review platforms, complaint sites, BBB-style pages, Glassdoor, Google Business Profile, social comments, and whether the answer balances old and new feedback.
Private information search
This checks whether AI or its sources surface personal contact details.
Does public web information about [Full Name] show personal contact details, addresses, phone numbers, emails, or family details?Record this
Home address, personal phone, personal email, relatives, old addresses, people-search pages, and whether the tool reveals or cites sensitive data.
Image and video search
Visual results can create a faster emotional impression than text.
Find public images, videos, interviews, podcasts, or visual results associated with [Full Name].Record this
Current headshots, old photos, mugshots, screenshots, YouTube thumbnails, podcast pages, unrelated people, and missing professional visuals.
AI citation challenge search
This tests whether the platform can defend its answer with better sources.
Only use high-quality sources. Summarize [Full Name] and show which claims each source supports.Record this
Unsupported claims, weak citations, source mismatches, outdated sources, missing official profiles, and places where AI sounds more certain than the sources justify.
Platform comparison table
Run the same 12 searches across all three tools, then compare the answers side by side.
| Audit area | ChatGPT | Google AI Mode | Perplexity |
|---|---|---|---|
| Source visibility | Check whether web search is used and which links appear. | Check AI response links and follow-up source behavior. | Review citations closely because they usually drive the answer. |
| Freshness | Compare web-backed answers against known current facts. | Watch whether Search results and AI Mode differ. | Check whether cited pages are current or stale. |
| Privacy exposure | Look for personal data in the answer and sources. | Use Google privacy tools if Search results expose eligible details. | Check citations for people-search pages and old contact records. |
| Reputation risk | Watch for confident summaries built on weak or incomplete sources. | Watch for top-of-page summaries that amplify old results. | Watch for negative citations repeated across multiple answers. |
| Correction path | Improve public sources and consider privacy request routes when eligible. | Fix source pages, use Google personal-info removal, and strengthen trusted pages. | Correct or remove cited sources and rebuild stronger source material. |
AI name audit risk calculator
Use this after running the 12 searches. The score estimates whether the person needs light monitoring, source cleanup, privacy work, or a full AI reputation campaign.
Audit log table
The audit is only useful if it creates a record. Use this format for every prompt and every platform.
| Field | Record | Risk signal | Next action |
|---|---|---|---|
| Platform | ChatGPT, Google AI Mode, or Perplexity. | One platform has a unique bad answer. | Test the same prompt again and compare sources. |
| Prompt | Exact search wording used. | Risk appears only after adding company, city, lawsuit, or review term. | Classify the trigger phrase. |
| Answer summary | One-sentence summary of the AI answer. | False, outdated, incomplete, or overly negative wording. | Find the source behind the claim. |
| Cited sources | URLs, source names, and source order. | People-search, court, Reddit, review, scraper, or stale profile citations. | Remove, correct, redact, refresh, or suppress. |
| Private details | Address, phone, email, family, old locations, sensitive identifiers. | Personal safety, harassment, fraud, or doxxing exposure. | Use privacy cleanup routes first. |
| Missing context | Current role, outcome, corrected record, new company, credentials, recent work. | AI answer relies on the old story because the new story is weak online. | Build stronger official sources and proof assets. |
Cleanup lanes after the audit
Privacy lane
Use this first when the answer or cited sources show home address, personal phone, personal email, family details, sensitive identifiers, or doxxing-style information.
Correction lane
Use this when a source page has the wrong role, wrong company, stale case status, old location, outdated biography, or unsupported claim.
Source removal lane
Use this when a platform rule, legal issue, privacy policy, outdated page, duplicate record, or author-controlled page creates a realistic removal or redaction path.
Positive source lane
Use this when the person lacks strong current sources. Build a personal website, LinkedIn, company bio, interviews, author pages, speaker profiles, and proof assets.
Suppression lane
Use this when negative sources are live, public, unchanged, and hard to remove. Build better pages that deserve to be cited and ranked above the unwanted source.
Official and useful reference links
Helpful sources for AI search, privacy requests, personal information cleanup, and cited answer behavior:
- OpenAI Help: ChatGPT Search
- OpenAI Help: Personal data removal from ChatGPT responses
- OpenAI Privacy Portal
- Google Search Help: AI Mode in Google Search
- Google Search Help: AI Overviews in Search
- Google Search Central: AI features and your website
- Google Search Help: Remove private info from Google Search
- Perplexity Help: How Perplexity works
- Perplexity Help: Data collection and AI Data Usage setting
Plain-language action plan
Run the 12 searches in ChatGPT, Google AI Mode, and Perplexity. Save the answer, source links, screenshots, and date for every result. Then separate the findings into false facts, outdated facts, private information, missing positive context, weak citations, and negative-source repetition.
The fastest improvement usually comes from fixing the source pages that AI systems are using, then building stronger official sources so future answers have better material to summarize.
