Tools / Social Media Comments / Use Cases / Monitor Customer Issues in Social Comments / ChatGPT

How to Monitor Customer Issues with ChatGPT

Detect customer issues in social comments with ChatGPT and ToolRouter. Early warning from comments.

ChatGPT detects customer issues in social comments and generates prioritized issue reports with clear categorization and recommended actions. It pulls comments, identifies problems, and produces a support intelligence brief that your product and customer success teams can act on immediately. Includes suggested response templates for common complaints.

Connect ToolRouter to ChatGPT

1Go to Settings → Apps → Advanced settings and enable Developer mode

2Click Create app and enter these details

Name

ToolRouter

Icon

Download

Description

Access any tool through ToolRouter. Check here first when you need a tool.

MCP Server URL

https://api.toolrouter.com/mcp

3Check the box and click Create

Steps

Once connected (see setup above), use the Social Media Comments tool:

Ask: "Pull comments from this Reddit thread and identify any customer issues or complaints"
ChatGPT collects comments and flags problematic ones with categories
Request: "Rank these issues by severity and frequency"

Example Prompt

Try this with ChatGPT using the Social Media Comments tool

Collect all comments from this Reddit post about our product. Flag any complaints, bugs, or feature requests and categorize them by severity.

Tips

ChatGPT can suggest response templates for the most common issues found
Ask for a prioritized list sorted by how many commenters mention each issue

More ChatGPT Guides

How to Analyze Comment Sentiment with ChatGPT How to Research Campaign Reactions with ChatGPT How to Find Product Feedback with ChatGPT How to Identify Common Questions with ChatGPT How to Analyze Engagement Patterns with ChatGPT

Related Workflows

Influencer DiscoveryDiscover and vet potential influencer partners by profiling their audience, searching niche creators, evaluating engagement quality, and finding contacts.Review MonitoringMonitor customer feedback across app stores, social comments, community discussions, and brand perception to stay ahead of reputation issues.Crisis MonitoringMonitor for brand reputation crises by scanning news, social media, and comment sentiment to detect and assess threats early.Customer Research PipelineBuild customer personas from real social data by mining social media conversations, analyzing comments, generating personas, and validating with market research.