If you've spent months building a business, you probably have strong opinions about how it should be represented. But right now, AI platforms are describing your business to thousands of potential customers — and you may not know what they're saying.
AI platforms don't call you for comment. They infer descriptions from your web presence and make recommendations based on the data they can find. Sometimes they get it right. Sometimes they get it spectacularly wrong.
This guide covers how to monitor what AI says about your business and what to do when the description needs updating.
Why AI Monitoring Matters More Than You Think
Consider what happens when a potential customer asks ChatGPT about your business:
Best case: AI accurately describes your services, highlights your credentials, mentions your location and hours, and recommends you positively.
Likely reality: AI partially describes your business, might mention an outdated detail (old phone number, discontinued service, former location), and may or may not recommend you depending on incomplete data.
Worst case: AI recommends a competitor instead of you, or describes your business inaccurately in ways that could harm your reputation.
You can't improve what you don't measure. Monitoring AI mentions is the foundation of AI visibility management.
What to Monitor
1. Direct Business Name Queries
Test how AI responds when users search directly for you:
- "[Your business name]"
- "[Your business name] reviews"
- "[Your business name] hours"
- "[Your business name] [city]"
- "Is [your business name] good?"
These queries should return accurate, positive descriptions. If any return inaccurate information, that's a content fix priority.
2. Category + Location Queries
These are the recommendation queries that drive new clients:
- "Best [your category] in [your city]"
- "[Your service type] near me" (use a query from your city)
- "[Your service type] [your city]"
- "Top [your category] in [your city]"
Track whether you appear, how frequently, and what's said about you when you do appear.
3. Specialty Queries (If Applicable)
If you have specific specializations, test those:
- "HVAC company specializing in commercial work in [city]"
- "Dentist accepting new patients in [city]"
- "[Specific service] in [your city]"
4. Competitor Comparison Queries
- "[Your business] vs [competitor]"
- "Best alternative to [competitor] in [city]"
- "Compare [your business] and [competitor]"
These reveal how AI positions you relative to competitors and whether there are perception gaps to address.
How to Test AI Mentions Manually
ChatGPT
- Start a new conversation (important — previous conversations have context that skews results)
- Ask: "What can you tell me about [your business name] in [your city]?"
- Then ask: "Who are the best [your service type] in [your city]?"
- Note whether you appear and what's said
Settings note: Enable web browsing if available (ChatGPT with Browsing gives more current results than base ChatGPT).
Gemini
- Go to gemini.google.com
- Ask: "Tell me about [your business name]"
- Ask: "What are the best [your service type] in [your city]?"
- Gemini often shows sources — note which sources it's pulling from
Gemini pulls heavily from Google data, so GBP and Google reviews are particularly influential here.
Perplexity
- Go to perplexity.ai
- Ask your test queries
- Perplexity always shows sources — examine them carefully
- Identify which sources AI is using to form its description of you
If Perplexity is citing an outdated Yelp profile or an old press article, you know where to focus update efforts.
Claude
- Go to claude.ai
- Test with: "What do you know about [your business name] in [your city]?"
- Claude relies most on training data (less on real-time web search), so inaccuracies here require updating web content and waiting for retraining cycles
How to Do This at Scale: Automated Monitoring
Manual testing works but has limitations:
- It's time-consuming to test dozens of queries regularly
- Results vary by session, location, and time
- You can't track trends over time
- You can't easily compare multiple competitors
Scope automates AI monitoring by:
- Running your target queries across ChatGPT, Gemini, Claude, and Perplexity on a scheduled basis
- Tracking mention frequency: What percentage of relevant queries mention your business?
- Analyzing description content: What specific attributes does AI associate with your business?
- Comparing to competitors: How does your mention rate compare?
- Alerting on changes: Get notified when your AI visibility changes significantly
For businesses where AI visibility materially affects lead flow, automated monitoring is an essential operational tool — not a nice-to-have.
What to Do When AI Gets It Wrong
When you find AI describing your business inaccurately, the fix is rarely "contact AI company." These systems don't have direct correction mechanisms for most business information.
Instead, the fix is to update the source data that AI pulls from:
Wrong address or phone: Update Google Business Profile, Yelp, and major directory listings. AI usually corrects within 30-60 days of source update.
Wrong hours: Update GBP immediately and your website. This is particularly urgent for queries about whether you're "open right now."
Missing or incorrect services: Add explicit service descriptions to your website, GBP services list, and directory profiles.
Wrong description of your specialization: Update your website's About page, GBP description, and any directory profiles where the inaccurate description appears.
Outdated pricing: Update your website pricing page and GBP service listings.
Incorrect credentials: If AI isn't mentioning your credentials, make sure they appear prominently on your website (with license numbers), GBP description, and directory profiles.
Building a Monthly AI Monitoring Routine
Week 1: Run all target queries across ChatGPT and Gemini. Document results.
Week 2: Run all target queries across Perplexity and Claude. Compare to Week 1 results.
Week 3: Review any discrepancies or inaccuracies found. Update source content as needed.
Week 4: Retest any queries where you made updates to verify changes are being reflected.
This routine catches AI description drift before it affects real customer decisions — and tracks the impact of your optimization efforts.
Competitive AI Monitoring
Don't just monitor your own mentions. Track competitors':
- When competitors are mentioned instead of you, what queries triggered that?
- What attributes does AI associate with competitors that it doesn't associate with you?
- Are competitors appearing for specialty queries that you should be winning?
Competitor monitoring reveals gaps in your own AI visibility that you can systematically address.
The Long Game: AI Reputation Management
AI descriptions of your business will evolve over time as:
- Your web content changes
- Your review volume grows
- Third-party sources mention you more
- AI models update with new training data
The businesses that monitor consistently are the ones who catch problems early, track improvement accurately, and stay ahead of AI reputation drift.
Start monitoring now. Don't wait until you lose a client to an AI recommendation you didn't know was wrong.