Tracking Visibility

Learn how to monitor and interpret your app’s AI visibility metrics

Your Visibility Dashboard

The GenTrackr dashboard provides real-time insights into how AI platforms are discovering and recommending your mobile app.

Key Metrics Explained

Visibility Score

What it measures

The percentage of relevant queries where your app is mentioned by AI platforms.

How it’s calculated:

Visibility Score = (Queries mentioning your app / Total relevant queries) × 100

Example:

• We run 1,000 queries relevant to meditation apps
• Your app appears in 450 responses
• Your Visibility Score = 45%

What's a good score?

• Below 20%: Low visibility, significant optimization needed
• 20-40%: Average visibility, room for improvement
• 40-60%: Good visibility, competitive positioning
• Above 60%: Excellent visibility, market leader status

Note: Scores vary by category. Niche apps may have lower scores but higher conversion.

Why does it fluctuate?

Your visibility score changes based on:

• AI model updates and retraining
• New competitors entering the market
• Changes to your App Store listing
• Recent media coverage and reviews
• Seasonal trends in user queries

Sentiment Score

What it measures

How positively AI platforms describe your app when they mention it.

Sentiment Analysis:

• 90-100: Highly positive recommendations
• 70-89: Positive with some caveats
• 50-69: Neutral or balanced mentions
• Below 50: Negative or critical mentions

Example Responses:

Positive (95)

"Headspace is an excellent meditation app with beautifully designed
guided sessions. Users love its beginner-friendly approach and the
variety of meditation topics available."

Improving sentiment often requires addressing issues mentioned in App Store reviews, as AI models reference these in their training.

Average Ranking Position

What it measures

Where your app typically appears when AI platforms list multiple recommendations.

Position Breakdown:

• Position 1-2: Top recommendation, highest click-through
• Position 3-5: Strong mention, good visibility
• Position 6+: Lower visibility, users may not notice

Why it matters: Users asking AI for recommendations typically only try the first 2-3 apps mentioned. Improving your ranking position can significantly increase downloads.

Track which queries result in better ranking positions. These are your “winning” use cases to emphasize in your App Store description.

Platform Breakdown

Per-Platform Performance

Your dashboard shows visibility across each AI platform:

ChatGPT

Tracking:

• GPT-4 responses
• GPT-4 Turbo responses
• Web browsing mode vs standard mode

Metrics:

• Daily mention count
• Position in recommendations
• Features highlighted

Claude

Tracking:

• Claude 3 Opus
• Claude 3 Sonnet
• Claude 3 Haiku

Metrics:

• Mention frequency
• Reasoning depth
• Privacy/ethical highlights

Perplexity

Tracking:

• Standard search results
• Citation frequency
• Source diversity

Metrics:

• Real-time mentions
• App Store citations
• News/blog references

Gemini

Tracking:

• Gemini Pro responses
• Play Store integration
• Google ecosystem mentions

Metrics:

• Android vs iOS mentions
• Google service integration
• YouTube content references

Platform Comparison Chart

The dashboard includes a distribution chart showing:

• Percentage of mentions per platform
• Trend changes over time
• Platform-specific opportunities

Example Insights:

• “ChatGPT drives 45% of your mentions but Perplexity only 10%”
• “Claude mentions increased 25% this week”
• “Gemini heavily favors your Android version”

Trend Analysis

Time-Based Tracking

1. Daily Trends

   Monitor day-to-day fluctuations to catch sudden changes.

   Common patterns:

   • Weekday vs weekend variations
   • Response to app updates
   • Impact of media coverage
2. Weekly Trends

   See broader patterns and seasonal effects.

   Track:

   • Week-over-week growth
   • Feature launch impact
   • Competitor activity effects
3. Monthly Trends

   Understand long-term visibility trajectory.

   Analyze:

   • Overall growth rate
   • Seasonal patterns
   • Major model updates impact

Trend Indicators

The dashboard uses color-coded indicators:

Indicator	Meaning	Action
🟢 +15% or more	Strong growth	Identify what’s working, double down
🟡 +5% to +14%	Positive trend	Continue current strategy
⚪ -4% to +4%	Stable	Look for optimization opportunities
🟠 -5% to -14%	Declining	Review recent changes, check competitors
🔴 -15% or worse	Significant drop	Urgent investigation needed

Query Performance

Top Performing Queries

See which user questions most frequently mention your app.

Example for a meditation app:

1. “best meditation app for beginners” - 87% mention rate
2. “apps to reduce anxiety” - 72% mention rate
3. “meditation timer app recommendations” - 65% mention rate
4. “compare headspace vs calm” - 45% mention rate
5. “free meditation apps” - 23% mention rate

Optimize your App Store description to include keywords from high-performing queries where you’re already mentioned.

Opportunity Gaps

Queries where competitors appear but your app doesn’t.

Example gaps:

• “sleep meditation apps” - Calm appears 90%, you appear 12%
• “meditation for kids” - Headspace appears 85%, you appear 5%
• “workplace stress apps” - Competitors dominate, you’re rarely mentioned

Focus optimization efforts on closing 2-3 key gaps at a time rather than trying to improve everywhere at once.

Filtering and Segmentation

Available Filters

Date Range

• Last 7 days
• Last 30 days
• Last 90 days
• Custom date range
• Compare periods (e.g., this month vs last month)

Platform

• All platforms
• ChatGPT only
• Claude only
• Perplexity only
• Gemini only
• Multiple platform comparison

Query Type

• Feature-based queries
• Use case queries
• Comparison queries
• Category exploration
• Brand mentions

Sentiment

• All mentions
• Positive only
• Neutral only
• Negative only

Segmentation Strategies

By User Intent:

• Research queries (“what is the best…”)
• Comparison queries (“X vs Y”)
• Problem-solving (“help with…”)
• Feature discovery (“app that does…”)

By Competition Level:

• Dominant queries (you rank #1-2)
• Competitive queries (you rank #3-5)
• Opportunity queries (competitors rank higher)
• Unclaimed queries (no clear leader)

Exporting Data

Export Options

CSV Export

Download raw data for analysis in Excel or Google Sheets

Includes:

• Timestamp
• Platform
• Query text
• Mention status
• Ranking position
• Sentiment score

PDF Report

Generate formatted reports for stakeholders

Includes:

• Executive summary
• Key metrics
• Trend charts
• Competitive analysis

Report Scheduling

Pro and Studio plans can schedule automated reports:

• Daily email summaries
• Weekly performance reports
• Monthly trend analysis
• Custom alert thresholds

Setting Up Alerts

Alert Types

Configure notifications for important changes:

Visibility Alerts

Get notified when visibility score:

• Increases by X%
• Decreases by X%
• Crosses a threshold (e.g., drops below 30%)
• Reaches a new high

Sentiment Alerts

Alert when sentiment:

• Drops significantly
• Goes negative
• Improves substantially

Competitor Alerts

Track when competitors:

• Launch new features
• Get mentioned more frequently
• Appear in your key queries

New Query Alerts

Discover emerging trends:

• New high-volume queries
• Trending topics in your category
• Seasonal pattern changes

Alert Delivery

• Email: Daily digest or real-time
• Slack: Integration with your team workspace
• Dashboard: In-app notification center
• API: Webhook for custom integrations (Studio plan)

Understanding Historical Data

Data Retention by Plan

Plan	Detailed Data	Aggregate Data
Starter	30 days	90 days
Pro	180 days	365 days
Studio	Unlimited	Unlimited

Historical Analysis Features

1. Baseline Comparison

   Compare current performance to your historical baseline.

   Example: “Your visibility is 15% higher than your 90-day average”

2. Event Correlation

   Match visibility changes to events:

   • App updates and releases
   • Marketing campaigns
   • Media coverage
   • Competitor launches
3. Seasonal Patterns

   Identify recurring patterns:

   • Holiday season effects
   • Back-to-school trends
   • New year resolution spikes
   • Summer slowdowns

Dashboard Best Practices

Daily Monitoring

Quick daily check (5 minutes):

1. Review visibility score trend (up/down?)
2. Check for any alerts or anomalies
3. Scan top performing queries
4. Note any significant sentiment changes

Weekly Analysis

Deep dive (30 minutes weekly):

1. Compare week-over-week trends
2. Analyze platform-specific performance
3. Review opportunity gaps
4. Update optimization strategy
5. Export data for team review

Monthly Reporting

Comprehensive review (1-2 hours monthly):

1. Generate executive summary report
2. Analyze competitive positioning
3. Review sentiment trends
4. Plan next month’s optimization focus
5. Share insights with marketing team

Troubleshooting Common Issues

”My visibility score is 0%”

Possible causes:

• Your app was just added (data still collecting)
• App name spelling mismatch
• Category targeting too narrow
• App not yet in AI training data

Solution: Wait 24-48 hours for initial data. Contact support if score remains 0%.

”Sudden visibility drop”

1. Check for AI model updates

   Major platforms regularly update their models. Check our AI Platforms page for recent updates.

2. Review App Store changes

   Did you recently update your app name, description, or category? These changes affect AI mentions.

3. Analyze competitor activity

   Check if competitors launched major updates or marketing campaigns.

4. Look for negative reviews

   Recent negative App Store reviews can impact AI sentiment and mention frequency.

”Data seems inconsistent”

AI platforms can show variation due to:

• Model temperature (randomness in responses)
• Query phrasing variations
• Real-time web search results (Perplexity, Gemini)
• A/B testing by AI platforms

This is normal. Focus on weekly/monthly trends rather than daily fluctuations.

Next Steps

Competitor Analysis

Learn to benchmark against your competition

Optimization Tips

Strategies to improve your AI visibility