AI Monitor: Track Your Brand's Visibility Across ChatGPT, Perplexity & Gemini
The AI Monitor tests whether ChatGPT, Perplexity, Gemini, and Claude mention your brand when asked buying-intent questions — and tracks your share of model over time.
In this article
What AI Monitoring Measures & Why It Matters
AI Monitor answers the question every brand should be asking: "When someone asks ChatGPT about my industry, does it mention my brand?"
Traditional SEO tracks Google rankings. MentionLayer's AI Monitor tracks AI rankings — whether your brand appears in the responses of ChatGPT, Perplexity, Gemini, and Claude when people ask buying-intent questions.
This matters because AI-powered search is growing fast. Perplexity alone processes millions of queries daily, and ChatGPT's browsing feature sends traffic directly from AI conversations. If your brand isn't being recommended by these models, you're invisible to a growing segment of potential customers.
Key metrics the AI Monitor tracks: - Share of Model — The percentage of test prompts where your brand is mentioned - Mention Rate per Model — Which AI models mention you vs which don't - Recommendation Rate — Not just mentioned, but actively recommended - Link Citation Rate — How often AI models link to your content - Competitor Share — How your competitors compare on the same prompts - Trend Over Time — Whether your visibility is improving or declining
Setting Up Monitoring Prompts
Monitoring prompts are the questions you send to AI models to test brand visibility. MentionLayer generates suggested prompts from your keywords, but you can also write custom ones.
Auto-generated prompts use your keywords to create buying-intent questions: - "What are the best [keyword] options?" - "Can anyone recommend a good [keyword] service?" - "I need help with [keyword] — what do people suggest?" - "Compare the top [keyword] companies"
Custom prompts let you test specific scenarios: - "[Competitor] alternatives that are more affordable" - "Best [product category] for [specific use case]" - "Is [your brand] worth it compared to [competitor]?"
Tips for effective prompts: - Write prompts the way real people ask AI models (conversational, specific) - Include comparison prompts ("[Brand A] vs [Brand B]") - Test different intent levels: informational, commercial, transactional - Start with 10-15 prompts and add more as you identify gaps - Each prompt can be configured to test specific models and run on a specific schedule (daily, weekly, biweekly, monthly)
Reading the Timeline & Trend Data
The AI Monitor dashboard shows your visibility data in three views.
Overview — Your current share of model, broken down by AI model. A stacked bar chart shows which models mention you vs which mention competitors.
Timeline — A trend line showing your share of model over weeks/months. Event markers highlight when you placed citations or ran press campaigns, so you can correlate actions to visibility changes.
Results Detail — Individual test results showing the exact prompt, the AI model's full response, whether your brand was mentioned, the context of the mention, and which sources were cited.
What good looks like: - Share of model above 30% = strong visibility - Share of model 10-30% = growing, keep seeding - Share of model below 10% = early stage, focus on citation volume - Upward trend = your seeding strategy is working - Flat line = check that you're posting responses and that they're getting engagement
Setting Up Alerts
Configure alerts to get notified when important changes happen to your AI visibility.
Available alert types: - New brand mention — Get notified when a new AI model starts mentioning your brand - Brand mention lost — Alert when a model that was mentioning you stops - Competitor surge — When a competitor's share of model jumps significantly - Share of model milestone — Celebrate when you hit 10%, 25%, 50% share of model - Weekly digest — Summary of all monitoring results sent every Monday
Alerts are sent via email to your registered address. In-app notifications appear in the bell icon in the dashboard header.
Pro tip: Set a "competitor surge" alert for your top 3 competitors. If a competitor suddenly jumps in AI visibility, investigate what they did — new press coverage, new forum posts, or updated content — and respond quickly.
Frequently Asked Questions
Which AI models does the monitor test?
ChatGPT (GPT-4o), Perplexity (Sonar Pro), Google Gemini, and Claude. Each model is tested independently with the same prompts, so you can see which models mention your brand and which don't.
What is share-of-model?
Share of model measures what percentage of relevant AI prompts result in your brand being mentioned or recommended. If you test 40 prompts across 4 models and your brand appears in 8 responses, your share of model is 20%. Think of it like share of voice, but for AI recommendations.
How often should I test?
Weekly is the default and recommended frequency. AI models update their training data periodically, so weekly testing catches changes quickly. For clients in fast-moving categories, you can set individual prompts to daily testing.
Can I track competitor visibility too?
Yes. The AI Monitor automatically extracts competitor mentions from every test response. Over time, you can see how your share of model compares to competitors and whether your citation seeding is closing the gap.
Next Steps
The AI Visibility Audit
The AI Visibility Audit scans 5 pillars — Citations, AI Presence, Entities, Reviews, and Press — to produce a composite score and prioritized action plan.
How the Citation Engine Works
The Citation Engine discovers Reddit, Quora, and Facebook Group threads that Google and AI models already reference, then generates human-quality responses to place your brand.
Proving ROI
Track your AI visibility progress with monthly audit comparisons, competitor intelligence reports, and GA4 attribution data that proves the value of AI citation campaigns.