Use Case

Catch Support Requests Before They Escalate

Customers don't always open tickets — they post on Reddit and X instead. SignalSurf finds these conversations and routes them to your support team in real-time.

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Your customers are asking for help where you're not looking

Not every frustrated customer opens a support ticket. Many post on Reddit, complain on X, or ask for help on Threads. These public conversations influence other potential customers.

Support requests on social media fall through the cracks
Public unanswered complaints deter potential customers
No way to route social support requests to the right team member
Response times on social platforms are inconsistent and slow

Social support that scales with your team

SignalSurf monitors social platforms for support-related conversations about your product. Issues are classified, prioritized, and routed to the right team member automatically.

Detect support requests

AI identifies when someone is asking for help with your product — even when they don't tag your account or use your support channels.

Classify and route

Issues are categorized by type (bug report, feature question, billing issue) and routed to the appropriate team member.

Respond publicly

Draft helpful responses that solve the user's problem and show other readers that your company provides excellent support.

Key Features

Support detection

AI distinguishes support requests from general mentions, complaints, and feature discussions.

Issue routing

Automatically route issues to the right team member based on category and expertise.

Knowledge base integration

AI suggests relevant documentation and help articles to include in responses.

Resolution tracking

Track which social support issues are open, in progress, and resolved.

Your GTM Playbook that works.

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