- MATCHED
- MISMATCH
- MISSING
- HUMAN
Short answer
How do I audit marketing attribution with my AI?
Your AI pulls a list of tracking numbers and matches them against specific call logs to see if the source data is accurate. You'll get a clear view of which attribution sources are missing or misaligned. This breakdown shows you how to run that check.
Audit outcomes
Where the discrepancies land.
The AI organizes the audit results into these categories.
MATCHED
Verified sources
The AI confirms that the tracking number source matches the call log details. These are your reliable data points.
MISMATCH
Attribution errors
The AI flags instances where the tracking number source doesn't align with the call data. You'll see exactly which sources are lying to you.
MISSING
Unattributed calls
The AI finds calls that don't have a corresponding tracking number in your list. This highlights gaps in your tracking setup.
HUMAN
Manual review needed
The AI highlights edge cases where data is too messy to automate. You'll need to step in and fix these manually.
The workflow
What your AI does when the audit starts.
The AI handles the heavy lifting of pulling and comparing data from your account.
Identify tracking sources
The AI pulls a complete list of all active tracking numbers in your CallRail account.
list_trackersPull call history
The AI gathers the recent call logs to provide a dataset for comparison.
list_callsInspect specific calls
The AI looks at the granular details of individual calls to verify the source data.
get_call_detailsFlag the errors
The AI compares the tracker list against the call details to find the mismatches.
get_call_details
Try it
Copy these to start.
Use these prompts to kick off your audit.
Starting points
These are opening lines. Swap out the specific tracker names or date ranges to fit your needs.
CallRail Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_ymSasxLjygKp5f4djeYnCBxXyLMxTmltSw80DEFQ/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 — CallRail capabilities are ready to use.
{
"mcpServers": {
"callrail-mcp": {
"url": "https://edge.vinkius.com/vk_preview_ymSasxLjygKp5f4djeYnCBxXyLMxTmltSw80DEFQ/mcp"
}
}
}Compare the tracking numbers from my 'Google Ads' tracker against all calls from yesterday.
Check if any calls in my recent logs are missing a valid tracking number from my list.
Audit the attribution for the 'Facebook Campaign' tracker by checking the last 50 calls.
Find any discrepancies between my active trackers and the source data in my call logs.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect CallRail once, then ask.
You only need to link your account once. Your credentials stay encrypted, and you can immediately start asking your AI to pull data.
Connect CallRail to your AIFAQ
How this task behaves.
- 01
Can the AI change my CallRail settings?
No. The AI can only read data from your account. It cannot modify your trackers or settings.
- 02
Can the AI delete call logs?
No. The AI has no capability to delete or edit any data in CallRail.
- 03
How does the AI know which calls to check?
The AI uses the call logs it retrieves to match against the tracking numbers you specify.
- 04
Does the AI handle the actual data entry in my CRM?
No. This specific task is for auditing CallRail data, not for pushing data to other tools.
- 05
Can I audit a specific date range?
Yes. You can tell your AI to only look at calls from a specific timeframe.
More questions about CallRail? The Connector page answers them. See everything the CallRail Connector can do
Connect CallRail to Claude, Cursor, ChatGPT & more
