What SignalScout does

SignalScout finds public conversations where somebody describes a problem your product solves. It reads each one with an AI model, scores it, and puts the best ones in your inbox.

Social listening tools answer who mentioned my brand. SignalScout answers a different question:

Who is publicly describing a problem my product can solve?

How a conversation reaches your inbox

You describe your product once. SignalScout turns that into searches, runs them on a schedule, and filters what comes back. Only a post that passes the cheap filters is read by the model, because the model is the part that costs the most.

What a match tells you

Each match carries a score from 0 to 100, and the reasons behind it:

Problem fit — does the person describe the problem you solve?
Fit with your customer — are they the kind of person who buys from you?
Intent — are they looking for a solution, or only complaining?

You read the reasons, not only the number. When a score is wrong, mark the match Not relevant: it leaves your inbox, and your verdicts are kept, so you can export them and see how often the score was right.