Feature · The Brand Monitoring Tool That Reads Every Mention in Context
Context-scored mentions from Reddit and the web, delivered while a reply can still change the outcome.
Most brand monitoring tools score sentiment by matching a word against a list, which is exactly how a sarcastic post ends up counted as praise. Mentient sends every mention to Claude with the full surrounding context before it gets a score, then routes the ones that need a reply to your inbox while the thread is still small enough to answer well.
r/saas
Just tried Mentient — the AI summary is insane
techcrunch.com
Mentient raises seed round to expand AI brand intel
r/marketing
Anyone compared Mentient vs Google Alerts?
g2.com
Review: Mentient is the monitoring tool B2B needed
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
Every public subreddit watched continuously, from the big general ones down to the niche industry threads where B2B buyers actually ask for recommendations.
News sites, blogs, review platforms, and forums get crawled around the clock, landing in the same feed as Reddit. Our media monitoring feature covers the news and press side of this in more depth.
Our smart AI reads the full post before scoring it, catching a sarcastic 'love this' the way a person reading the thread would.
Email or Slack fires the moment a mention crosses your threshold, while the thread is still small enough to answer well.
Two chart windows show whether perception is drifting, so you can line a dip up against a launch, a price change, or one bad thread.
“Mentient found a viral Reddit thread about us within minutes. We responded the same day and turned a potential PR crisis into a product win. The AI sentiment scores tell us immediately whether to celebrate or act.”
Sarah Chen
Head of Marketing · Orbit SaaS
Under the hood
A keyword-only tool scores the words it recognizes and stops there. Mentient hands the full sentence to Claude along with the brand it's supposed to be about, and the model returns a sentiment call, a topic tag, and a relevance judgment. That extra step is the only reason two tools looking at the identical sentence land on opposite answers. We go deeper on which of these signals actually predict something worth acting on in our guide to the listening metrics that matter.
Keyword tool
“Oh great, another outage.”
Scored positive — it matched the word "great"
Mentient
“Oh great, another outage.”
Scored negative — read as a complaint from the full sentence, tagged reliability, flagged for a reply
Who it's for
See what's landing and what isn't without keeping five search tabs open. Every mention arrives scored for sentiment and topic, so a pattern shows up as a trend instead of something you noticed by accident.
Catch a negative spike while it's one thread, not after it's a story. Crisis detection watches for clusters forming across sources, the same signal our reputation management feature is built around, so PR hears about the shape of a problem, not just the first mention of it.
Real reactions to a launch, sorted by sentiment and topic instead of buried in a spreadsheet, including the objections people post in a subreddit but never bother sending to support. If you also want visibility into how AI engines describe the product to buyers researching it.
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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