Social Media & Community Monitoring

Prospects ask for vendor recommendations on LinkedIn. Frustrated customers vent on Reddit before they ever open a support ticket. Traditional listening tools catch all of it — and bury it under job posts, marketing spam and every stray brand mention, so the few signals that matter drown in notifications nobody reads.

This solution treats public conversation as a document-to-decision problem. Agents read posts across LinkedIn, X, Reddit and industry forums, classify each mention by intent, and discard the noise. What survives is a short list of things worth acting on: a prospect evaluating alternatives, a customer reporting a bug in public, an influencer discussing your category.

From mention to action

Detection alone changes nothing if the signal stays in a marketing dashboard. Each classified mention is enriched with available business context and routed to the team that owns it — high-intent posts to sales as trackable leads, public complaints to support as tickets with an SLA clock already running. Marketing, sales and support work from the same record instead of three disconnected tools, so outreach is specific and nothing gets handled twice.

Coverage runs across time zones without staffing a round-the-clock social team, and competitor discussions are captured alongside your own mentions, giving a running read on market perception.

Why the audit trail matters

Sentiment scores are easy to produce and easy to distrust. Here, every theme, every classification and every alert links back to the original public post. When a dashboard says complaint volume spiked around billing, you can open the actual posts and read them. That traceability is what lets a team act on the data — escalate, respond, or change the product — without first re-verifying it by hand. It is the same governed pattern Botminds applies to every document flow: no conclusion without a source you can inspect.