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Documentation Index

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Collection Process

GenTrackr runs automated queries across AI platforms to track your app’s visibility. Here’s exactly how it works:
1

Query Generation

We generate relevant queries based on:
  • Your app’s category and features
  • Common user search patterns
  • Competitor landscape
  • Trending topics in your niche
Example queries for a meditation app:
  • “best meditation app for beginners”
  • “apps to reduce anxiety”
  • “compare headspace vs calm”
  • “meditation timer app recommendations”
2

Automated Execution

Our system submits these queries to each AI platform daily:
  • ChatGPT: Web version with GPT-4
  • Claude: Claude.ai interface
  • Perplexity: Perplexity.ai search
  • Gemini: Google Gemini interface
All interactions simulate real user behavior to capture authentic responses.
3

Response Capture

We record complete AI responses including:
  • Full text content
  • App mentions (direct and indirect)
  • Source citations
  • Context and recommendations
  • Timestamp and platform metadata
4

Data Analysis

Each response is analyzed for:
  • Mention Detection: Is your app mentioned?
  • Sentiment Analysis: How is it described?
  • Ranking Position: Order in recommendations
  • Feature Highlights: Which features are mentioned?
  • Competitive Context: Who else is mentioned?

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Query Categories

We organize queries into strategic categories to provide comprehensive visibility insights:

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Feature-Based Queries

Queries focused on specific app capabilities. 
"meditation timer app"
"app with customizable meditation timers"
"best pomodoro timer for focus"

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Use Case Queries

Queries about solving specific user problems. 
"apps to help with anxiety"
"stress relief meditation app"
"best app for panic attacks"

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Comparison Queries

Direct competitive comparison requests. 
"headspace vs calm"
"compare meditation apps"
"best alternative to [competitor]"

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Data Frequency

Query Volume by Plan
  • Starter: 500 queries/day across all platforms
  • Pro: 2,000 queries/day with advanced categories
  • Studio: 5,000+ queries/day with custom query sets
ActivityFrequency
Query executionDaily
Data updatesReal-time
Trend calculationHourly
Competitor syncDaily
Report generationWeekly

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What Gets Tracked

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Direct Metrics

Total number of times your app is mentioned by name across all queries and platforms.Tracked: Daily, weekly, monthly aggregates
Percentage of relevant queries where your app appears.Formula: (Queries mentioning your app / Total queries run) × 100
How often AI models cite your app store listing or reviews as sources.Includes: App Store reviews, feature descriptions, screenshots
Average position when your app is mentioned in lists.Example: Mentioned 2nd in “top meditation apps” = position 2

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Sentiment Metrics

Which features AI associates with your app.Tracked: Most mentioned features, feature sentiment, competitive differentiation
What problems AI thinks your app solves.Example: “anxiety relief”, “sleep improvement”, “mindfulness training”
Overall tone of AI mentions (positive, neutral, negative).Analyzed: Language patterns, recommendation strength, comparison context

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Competitive Metrics

  • Apps frequently mentioned alongside yours
  • Queries where competitors appear but you don’t
  • Competitive win rate (you vs specific competitors)
  • Share of voice in your category

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Data Storage & History

Data Retention
  • Starter: 30 days of detailed data, 90 days of aggregates
  • Pro: 180 days detailed, 365 days aggregates
  • Studio: Unlimited retention
All data is:
  • Encrypted at rest and in transit
  • Backed up daily
  • Accessible via dashboard and API
  • Exportable to CSV/JSON

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Quality Assurance

We ensure data accuracy through:

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Automated Validation

  • Response completeness checks
  • Duplicate detection
  • Error handling and retries
  • Platform availability monitoring

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Manual Auditing

  • Weekly spot checks of query results
  • Monthly quality reviews
  • User-reported issue investigation
  • Continuous algorithm improvement

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Privacy & Ethics

Important: Public Data OnlyGenTrackr only collects publicly available AI responses. We never:
  • Access user accounts or private data
  • Track individual users
  • Collect personal information
  • Store user queries to AI platforms
Our data collection complies with:
  • All platform terms of service
  • GDPR and international privacy laws
  • Ethical web scraping practices
  • Industry data collection standards

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Next Steps

AI Platforms

Learn about each platform we track

Tracking Visibility

How to interpret your visibility data