Social Crawler: Monitor Social Media for Product Signal
Monitor X, Reddit, LinkedIn, Discord, Bluesky, and Threads for mentions, sentiment, and competitive research.
Catching a Viral Complaint Before It Escalates
A customer posts a complaint on X that starts gaining traction. The Social Crawler surfaces it in the daily brief.
How it works:
- 1Configure Social Crawler with your brand keywords and competitors
- 2Crawler monitors X, Reddit, and other platforms continuously
- 3High-engagement posts are flagged and included in daily briefs
- 4PM sees the complaint before it goes viral
- 5Team responds proactively, turning a detractor into an advocate
Social issues are caught early. Competitive launches are tracked in real-time. Community sentiment is quantified.
How pmkit handles social media monitoring
Pre-Built Job Types
- • Daily Brief: Synthesize overnight activity from Slack, Jira, support, and community
- • Meeting Prep: Prepare for customer meetings with context from calls and tickets
- • VoC Clustering: Cluster feedback into actionable themes with evidence
- • Competitor Research: Track competitor product changes and releases
- • Roadmap Alignment: Generate alignment memos with options and trade-offs
- • PRD Draft: Draft PRDs grounded in customer evidence
- • Sprint Review: Generate sprint summaries with completed work and release notes
Draft-Only Pattern
pmkit never writes directly to external systems. All outputs are proposals that you review, edit, and approve before anything is published. This gives you AI autonomy with human control.
Enterprise Governance
- • Role-based access control (RBAC)
- • Comprehensive audit logging
- • SSO integration (SAML/OIDC)
- • Every insight cites its source
Try social media monitoring in the demo
See it in action with a complete demo enterprise dataset. No signup required.
Launch DemoFrequently Asked Questions
Related Resources
Competitor Research: Track Product Changes
Generate competitor research reports that highlight product changes, feature launches, and strategic implications.
Voice of Customer Clustering: AI Theme Analysis
Cluster customer feedback from support, community, and calls into actionable themes with evidence and quotes.