Geolocate Website Visitors
Determine the geographic location of website visitors from their IP addresses for analytics and personalization.
Detect Suspicious Login Locations
Flag logins from unexpected geographic locations by comparing IP geolocation against known user patterns.
Quick answer: Use the IP Geolocation tool through ToolRouter to detect suspicious login locations directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolAccount takeovers often reveal themselves through impossible geography. A user who always logs in from London suddenly appears from Lagos -- that is a red flag worth investigating. IP geolocation provides the location data needed to spot these anomalies.
The lookup skill resolves login IPs to precise locations. Compare the result against the user's historical login locations to detect impossible travel (logging in from two distant cities within minutes), unfamiliar countries, or known high-risk regions. This is the same technique banks and enterprise security teams use for fraud detection.
This approach catches compromised credentials before damage is done. Instead of waiting for the user to report unauthorized access, you detect it at login time and can trigger step-up authentication, temporary locks, or admin alerts.
How to detect suspicious login locations with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Connect ToolRouter
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
Claude brings analytical rigor to login anomaly detection by calculating geographic distance, assessing travel feasibility, and evaluating ISP fingerprints against user baselines. It asks clarifying questions about your security thresholds to refine the risk assessment for each flagged login attempt.
How to detect suspicious login locations
Once connected (see setup above), use the IP Geolocation tool — the same steps work with Claude, ChatGPT, Microsoft Copilot, OpenClaw, and any MCP client:
- Ask Claude: "Look up the location of this login IP using ip-geolocation" and provide the IP
- Claude returns the geographic details
- Ask: "Compare this location against the user's previous logins from New York"
- Claude flags whether the location is suspicious based on distance and timing
Example prompt
Try this with the IP Geolocation tool
Look up the location of 185.220.101.34. A user who normally logs in from San Francisco just authenticated from this IP. Is this suspicious?
Tips
- Check for VPN and proxy indicators in the ISP data
- Compare timestamps between logins to detect impossible travel
- Build a baseline of normal login locations for each user
Frequently Asked Questions
How do I detect suspicious login locations with an AI assistant?
Flag logins from unexpected geographic locations by comparing IP geolocation against known user patterns. Connect the IP Geolocation tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Look up the location of this login IP using ip-geolocation" and provide the IP Claude returns the geographic details
Which AI assistants can detect suspicious login locations?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all detect suspicious login locations using the IP Geolocation tool through ToolRouter, with no API keys or coding required.
What does the IP Geolocation tool do?
Look up geographic locations, ISP details, and ownership information for IP addresses. Supports single and bulk lookups.
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