- TRENDS
- DISTRIBUTION
- INSIGHTS
- HUMAN
Short answer
How can I track changes in my app's star ratings over time?
Your AI pulls historical rating distributions and current star counts directly from AppFollow. It then identifies patterns in user satisfaction to show you exactly when and why your ratings shifted.
Analysis outcomes
What you get from the analysis
The AI processes raw AppFollow data into these specific outcomes.
TRENDS
Historical rating shifts
The AI compares past star distributions against current ones. You'll see if your average rating is climbing or dropping over specific periods.
DISTRIBUTION
Star rating breakdowns
Instead of just an average, you get the full spread of 1 to 5 star ratings. This reveals if you're seeing a surge in specific rating tiers.
INSIGHTS
Satisfaction patterns
The agent identifies shifts in user sentiment. It flags periods where satisfaction spiked or tanked based on the rating data.
HUMAN
Manual review needed
The AI identifies the timing of rating drops. You'll need to step in to investigate the specific user comments causing those shifts.
The workflow
What your AI does when the data arrives.
The AI moves from raw data retrieval to pattern recognition without you needing to export CSVs.
Fetch current ratings
The agent pulls the most recent star rating data for your app to establish a baseline.
get_ratingsPull historical data
To see the big picture, the AI requests the full history of rating distributions.
get_ratings_historyCompare distributions
The agent compares the current star counts against historical snapshots to find discrepancies.
get_ratings_historySummarize shifts
The AI translates the mathematical shifts in star counts into plain English descriptions of user satisfaction.
get_ratings
Try it
Copy these to start.
Use these prompts once you have connected AppFollow.
Starting points
These are basic starting points. Swap out the app names or timeframes to match your specific needs.
AppFollow Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_XuFdPgnFKQbqH03qFIWIm45p4exhDPZHXXF0BeYC/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AppFollow capabilities are ready to use.
{
"mcpServers": {
"appfollow-mcp": {
"url": "https://edge.vinkius.com/vk_preview_XuFdPgnFKQbqH03qFIWIm45p4exhDPZHXXF0BeYC/mcp"
}
}
}Show me the rating distribution for my iOS app over the last three months.
Compare the current star rating trends for my Android app against last month.
Did my app's 5-star rating percentage increase or decrease recently?
Analyze the rating history for my latest version release and tell me if satisfaction is trending up.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect AppFollow once, then ask.
One connection gives your AI access to your AppFollow data. Your credentials stay encrypted and secure on our side.
Connect AppFollow to your AIFAQ
How this task behaves
- 01
Can the AI change my ratings in AppFollow?
No. The AI can only read rating data through the available tools. It cannot modify, delete, or post ratings.
- 02
Does the AI read my actual user reviews?
No. This specific task uses tools that only access star rating distributions and history, not the text of individual reviews.
- 03
Can I ask for trends for a specific app version?
Yes, as long as the historical rating data for that version is available in your AppFollow account.
- 04
How does the AI handle missing data?
If the history for a specific period isn't available in AppFollow, the AI will tell you it can't find that data.
- 05
Can the AI automatically reply to users?
No. The AI only analyzes the data. Responding to users is a manual process that stays with you.
More questions about AppFollow? See everything the AppFollow Connector can do
Connect AppFollow to Claude, Cursor, ChatGPT & more
