How to Check What ChatGPT Says About Your Brand (And Fix It)

New to GEO? Start with the complete guide to Generative Engine Optimization →

Why You Need to Check Your AI Perception

Every day, potential customers ask AI assistants about your company. What they hear shapes buying decisions before your marketing ever reaches them.

ChatGPT alone handles over 1.5 billion queries monthly. Many of these are brand research: "Tell me about [Company]," "Compare [Your Product] to [Competitor]," "What does [Your Brand] cost?"

If AI gets it wrong, you lose deals you'll never know about.

The Manual Audit: DIY Method

Step 1: Prepare Your Questions

Create a standard list of queries to ask each AI system. Include:

Brand Information:

• "What is [Your Company]?"
• "What does [Your Company] do?"
• "Tell me about [Your Company]"

Product/Pricing:

• "How much does [Your Product] cost?"
• "What features does [Your Product] have?"
• "What's [Your Product] best for?"

Competitive:

• "Compare [Your Company] to [Competitor]"
• "[Your Category] recommendations"
• "Best [your category] tools"
• "Alternatives to [Competitor]"

Specific Use Cases:

• "[Your use case] — what tools should I use?"
• "Best [solution] for [your target audience]"

Step 2: Query Each AI System

Test these platforms:

Important: Log in with a fresh account or incognito mode to avoid personalized responses.

Step 3: Document Everything

For each response, record:

• Date, platform, query, and full AI response
• Accuracy check: pricing correct? Features correct? Description accurate?
• Any hallucinations (false claims)
• Sentiment: positive, neutral, or negative
• Was your brand recommended?

Step 4: Identify Issues

Common problems you'll find:

Hallucinations (False Information):

• Wrong pricing (often outdated)
• Features you don't have
• Features you do have that aren't mentioned
• Incorrect founding date or company location
• Fabricated partnerships

Invisibility:

• AI doesn't know you exist
• Not mentioned in category discussions
• Competitors get recommended instead

Entity Confusion:

• Mixed up with similar-named company
• Competitor's features attributed to you
• Wrong industry classification

Step 5: Create a Correction Plan

How to Fix AI Perception Issues

Fix #1: Update Your Website

AI learns from your website. Ensure:

• Pricing is clear and prominent
• Features are listed explicitly
• Company description is in the first paragraph of your About page
• FAQ addresses common questions
• Schema.org markup is implemented

Fix #2: Strengthen Entity Signals

Help AI understand what you are:

• Create or update your Wikidata entry
• Ensure Google Knowledge Panel accuracy
• List on industry directories (G2, Capterra, SaaSHub)
• Keep brand name consistent across all properties

Fix #3: Create Citation-Worthy Content

Give AI authoritative content to cite:

• Publish original research in your domain
• Create comprehensive glossary and definition pages
• Build comparison pages (fair, including competitors)
• Add an llms.txt file for AI crawlers

Fix #4: Address Hallucinations Directly

For specific false claims:

• Create FAQ pages debunking misinformation
• Ensure correct info appears prominently on your site
• Update all third-party profiles
• Consider press releases for major corrections

Operationalizing AI Perception Diagnostics

Manual audits work but don't scale. Agencies need a repeatable workflow that turns baseline evidence, fix priorities, same-target retests, and client-ready reports into an operating cadence:

VectorGap automates the entire process:

1. Diagnostic retests — Run the same prompt, provider, market, language, persona, and competitor set after fixes ship
2. Multi-Platform — ChatGPT, Claude, Gemini, Perplexity, Grok
3. Hallucination Detection — Compare AI responses to your knowledge base
4. Competitor diagnosis — Compare why AI recommends rivals and which source or proof gaps explain the loss
5. Client-ready reporting — Package baseline evidence, shipped work, retest movement, and next remediation actions

See the agency baseline audit →

How Often Should You Audit?

What "Good" AI Perception Looks Like

When your AI perception is healthy:

• ✅ AI accurately describes what you do
• ✅ Pricing information is correct
• ✅ Key features are mentioned
• ✅ You appear in relevant category discussions
• ✅ AI recommends you for appropriate use cases
• ✅ No competitor confusion
• ✅ Sentiment is neutral to positive

FAQ

Can I edit what ChatGPT says about me?

No — you can't directly edit AI responses. But you can influence AI's training data and retrieval sources by improving your web presence.

How long until fixes appear in AI responses?

Retrieval-augmented systems (Perplexity) can reflect changes within days. Base model responses (ChatGPT) depend on training cycles — typically 3–6 months.

What if AI says something defamatory?

Document it thoroughly. Most AI providers have feedback mechanisms. For serious issues, consult legal counsel. The best defense is strong, accurate information across your web presence.

Should I pay for AI perception diagnostics?

If AI perception impacts your business (it probably does), diagnostic capacity pays for itself when it turns hallucinations, weak citations, or competitor preference into prioritized fixes. One corrected answer path that was costing leads can justify the investment.

My brand is new — will AI know about me?

Probably not initially. Focus on building entity signals (Schema, Wikidata, directories) and creating citation-worthy content. New brands need to establish extractable facts and citation-worthy proof before recurring retests.

Next Steps

1. This week: Run manual audits on ChatGPT and Gemini
2. Document: Record any issues found
3. Prioritize: Fix high-impact issues first (pricing, invisibility)
4. Operationalize: Turn the baseline into remediation priorities, same-target retests, and client-ready reporting

Get a structured AI perception baseline with VectorGap →