Feature · Reputation Management Software That Watches Reddit
Catch the pattern while it's still small enough for a reply to change how it ends.
Most reputation management software still points at review sites, because that's where the category started. The threads that actually sink a B2B brand start somewhere else, in a subreddit with twelve upvotes and no review star rating attached to it at all. Mentient watches both, and scores every mention for tone and escalation risk before a thread has the chance to become the whole story.
Overall Score
↑ +5pts this week
62%
Positive
23%
Neutral
15%
Negative
Sentiment trend
Crisis alert triggered — negative spike detected
7+
public sources
5
AI models tracked
<2 min
to first alert
What you get
Powered by Claude AI · Live on Reddit and the open web
Watches for a surge in negative mentions and flags it while momentum is still building, the window where a response actually works.
Our AI catches sarcasm, buried complaints, and a narrative forming across separate threads, the things a keyword list reads right past.
A sentiment shift triggers an alert the moment it's detected. A daily digest tells you about yesterday's problem; this is built for today's.
Support complaints and pricing pushback get pulled from Reddit and forums around the clock and grouped, the news and press side of this is covered in more depth by our media monitoring feature.
The 7 and 30 day windows show whether perception is recovering or sliding, and you can line either curve up against a real event.
“Before Mentient we were flying blind on reputation. Now we see negative trends forming and get ahead of them — we have avoided situations that could have gotten ugly on social media.”
Marcus Webb
CEO · Strata Labs
Under the hood
Alerting on every negative mention trains a team to ignore alerts within a week. Mentient scores each mention in context, then looks at the shape of them together, so what actually reaches you is a cluster forming, not a single bad post at 2am. We cover which of these signals actually predict something worth escalating, versus which ones are just noise, in our guide to the listening metrics that matter.
Threshold alerting
“Four separate negative mentions about billing, posted over one afternoon.”
Four separate alerts, each below the threshold, none escalated
Mentient
“Four separate negative mentions about billing, posted over one afternoon.”
One escalation: negative cluster on a single topic, flagged as an emerging issue
Who it's for
See the problem while it's one thread, when the right response is a reply instead of a statement. Escalations arrive with enough context to know whether it's worth one.
Spot the churn signal in public before it shows up as a cancellation. If you're also tracking what competitors' customers are saying for the same reason, competitor tracking runs on the identical scoring model.
Know the difference between a bad day and a developing pattern without reading every mention yourself. For the AI-search side of the same question, whether ChatGPT is describing you the way you'd want, is worth five minutes.
FAQ
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Monitor, understand, and respond to brand mentions — across the web, social and AI answers — before they become problems.
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