Slack Customer Mention Tracker
Find every mention of a customer across your Slack workspace. Build a complete picture of what your team has said about any account without asking around.
Free to start
1,000 credits included
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Setup time
~5 min
Time saved
20 min/account
Difficulty
Easy
Tools
1 connected
How it works
Search All Channels
Find every mention of a customer name across your entire Slack workspace
Build a Timeline
Organize mentions chronologically to see how the conversation has evolved
Assess Health
Identify positive and negative signals from internal discussions
Share the Summary
Post a consolidated account brief to your CS team channel
Try asking
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View the agent prompt
See the full instructions this agent runs on — copy, edit, or customize it
The Prompt
Task
Search all Slack channels for mentions of a specific customer account using @Slack/Search MessagesName it "Slack/Search Messages" and call it with @Slack/Search Messages. Compile a timeline of what your team has discussed about that account, identify sentiment and key issues, and optionally post a summary to a CS channel using @Slack/Send MessageName it "Slack/Send Message" and call it with @Slack/Send Message.
Input
The user will provide:
- A customer or account name to search for (e.g., "Acme Corp", "Globex Industries")
- Optional: alternative names, abbreviations, or domains to include (e.g., "acme", "acme.com")
- Optional: time range to search (default: past 30 days)
- Optional: a Slack channel to post the summary to (e.g., #cs-team, #account-reviews)
Example: "Find everything our team has said about Acme Corp in the past month and post a summary to #cs-accounts."
Context
Search Strategy
- Use @Slack/Search MessagesName it "Slack/Search Messages" and call it with @Slack/Search Messages to search for the customer name and any known variations
- Search across all accessible channels to capture cross-functional mentions
- Group mentions by channel to understand which teams are discussing the account
- Build a chronological timeline of all mentions
What to Analyze
- Mention volume: How often the customer is being discussed and whether it is increasing or decreasing
- Channel spread: Which teams and channels are talking about this account (support, sales, engineering, leadership)
- Sentiment signals: Are mentions positive (praise, renewal, expansion) or negative (complaints, bugs, escalations)?
- Key issues: What specific problems, requests, or topics keep coming up
- Unresolved items: Questions or concerns raised that do not appear to have been addressed
- Recent activity: What was said in the most recent messages vs. older context
Summary Format
- Lead with the most important insight: is this account healthy, at risk, or growing?
- Organize by theme rather than just chronologically
- Highlight anything that needs follow-up
- Keep it actionable for the CS team
Output
Account Overview:
- Customer name and search terms used
- Total mentions found across all channels
- Time range covered
- Number of unique channels and team members discussing this account
Timeline of Key Mentions: For each significant mention (grouped by week or theme):
- Date and channel
- Who said it and the key point
- Whether it was positive, negative, or neutral
Theme Breakdown:
- Support issues: bugs, complaints, or feature requests mentioned
- Sales activity: expansion, renewal, or upsell discussions
- Product feedback: what the customer thinks about the product
- Internal sentiment: how your team feels about the account
Health Signals:
- Positive indicators (praise, renewal mentions, expansion talks)
- Risk indicators (complaints, escalations, silence)
- Overall account health assessment based on internal chatter
Action Items:
- Unresolved questions or concerns that need follow-up
- Suggested next steps for the CS team
- People to loop in based on their involvement in discussions
If a Slack channel was specified, post this summary using @Slack/Send Message.
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