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

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 (January 2026):

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

Step 3: Document Everything

For each response, record:

Date: [Date]
Platform: [ChatGPT/Claude/etc.]
Query: [Your question]
Response: [Full AI response]

Accuracy Check:
- Pricing correct? [Yes/No/Not mentioned]
- Features correct? [Yes/No/Partially]
- Description accurate? [Yes/No]

Hallucinations found:
- [List any false claims]

Sentiment: [Positive/Neutral/Negative]
Recommended? [Yes/No/Unclear]

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• Wrong pricing (often outdated)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
• Wrong 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

Outdated Information:

• Old pricing tiers
• Discontinued products mentioned
• Old company description

Step 5: Create a Correction Plan

For each issue found:

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 first paragraph of About page
• FAQ addresses common questions
• Schema.org markup is implemented

Fix #2: Strengthen Entity Signals

Help AI understand what you are:

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

Fix #3: Create Citation-Worthy Content

Give AI authoritative content to cite:

• Publish original research in your domain
• Create comprehensive glossary/definition pages
• Build comparison pages (fair, including competitors)
• Add 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 site
• Update all third-party profiles
• Consider press releases for major corrections

Automating AI Brand Monitoring

Manual audits work but don't scale. For ongoing monitoring:

VectorGap (Purpose-Built for This)

VectorGap automates the entire process:

1. Scheduled Audits - Run perception checks weekly or daily
2. Multi-Platform - ChatGPT, Claude, Gemini, Perplexity, Grok
3. Hallucination Detection - Compare AI responses to your knowledge base
4. Competitive Tracking - Monitor what AI says about competitors
5. Historical Tracking - See perception changes over time

Free Tier: 1 brand, 1 LLM audit/month, Gemini AI
Paid Plans: From $59/month for more frequent audits and platforms

Try VectorGap Free →

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 brand monitoring?

If AI perception impacts your business (it probably does), monitoring tools pay for themselves. One fixed hallucination that was costing you leads easily justifies $50-300/month.

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 presence before monitoring.

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. Automate: Set up ongoing monitoring with VectorGap or schedule manual audits

Need help monitoring your AI brand perception? Start free with VectorGap →