How It Works

Understanding what GenTrackr tracks and how we collect data

What GenTrackr Does

GenTrackr monitors your mobile app’s visibility across major AI platforms by tracking two key types of mentions:

Direct App Mentions

When AI assistants directly recommend your app by name in their responses.

Example: Feature Query

User: "What's the best meditation app?"
AI: "I recommend Headspace or Calm for meditation..."

Why it matters: Direct mentions are the strongest signal of AI visibility. They indicate your app is top-of-mind for the AI model when responding to relevant queries.

App Store Citations

When AI models reference your app store listing, reviews, or screenshots as sources - even without mentioning your app name.

Example: Review Citation

AI: "According to user reviews on the App Store, this meditation app has helped thousands reduce anxiety..."

Why it matters: Citations show that AI models are using your app store presence as a trusted source of information, which can lead to future direct mentions.

How We Collect Data

1. UI Scraping Technology

   GenTrackr uses advanced UI scraping to interact with AI platforms exactly as real users do.

   Instead of relying on APIs, we automate browser interactions to:

   • Submit queries to AI assistants
   • Capture complete responses
   • Analyze mentions and citations
   • Track context and sentiment
2. Daily Query Execution

   We run thousands of relevant queries daily across all tracked AI platforms.

   Queries include:

   • Feature-specific searches (“best app for X”)
   • Use case queries (“app to help with Y”)
   • Comparison requests (“compare A vs B”)
   • Category exploration (“top apps in [category]”)
3. Response Analysis

   Each AI response is analyzed for:

   • App mentions (direct and indirect)
   • Sentiment and context
   • Feature highlights
   • Competitive positioning
   • Source citations

Why UI Scraping Instead of APIs?

API Limitations

Most AI platforms either don’t offer public APIs or their API responses differ significantly from what users see in the actual interface.

Advantages of Our Approach

Authentic User Experience

API responses often differ from what users see in the actual interface. GenTrackr captures exactly what your potential users see when they ask AI assistants for app recommendations.

Broader Coverage

Many AI platforms don’t offer public APIs or have limited API access. UI scraping works across all platforms, ensuring comprehensive coverage.

Real-World Accuracy

We simulate genuine user queries through the same interfaces your customers use, ensuring data consistency and accuracy.

Platform Adaptability

When AI platforms update their interfaces or models, we adapt our scraping accordingly. You don’t need to worry about API changes or deprecations.

Data Collection Frequency

Metric	Frequency
Visibility tracking	Daily
Competitor analysis	Daily
New prompt discovery	Weekly
Trend analysis	Real-time
Historical data	90 days (Pro), 365 days (Studio)

Custom Tracking

Enterprise plans can request custom query sets and increased tracking frequency for specific use cases.

Platforms We Track

ChatGPT

GPT-4, GPT-4 Turbo

Latest models with web search capabilities

Claude

Claude 3 Opus, Sonnet, Haiku

All current Anthropic models

Perplexity

Perplexity AI

AI-powered search platform

Gemini

Gemini Pro

Google’s latest AI model

Privacy & Compliance

GenTrackr only collects publicly available AI responses. We don’t access user accounts, private data, or track individual users.

All data collection complies with:

• Platform terms of service
• GDPR and privacy regulations
• Industry best practices for web scraping

Next Steps

Data Collection Details

Deep dive into our data collection methodology

AI Platforms Guide

Learn about each AI platform we track