News Platform
Mentient is one of the news monitoring tools that scans outlets, trade publications, and blogs continuously, summarizes each story with Claude, and alerts you the moment coverage moves, so you hear about the piece from the dashboard instead of from a colleague forwarding it.
Millions
of sources
Under 30 min
typical detection
24/7
continuous scanning
A trade-publication story feeds your pipeline for years, ranks for your brand name, and becomes a source AI engines cite when someone asks about your category. The unflattering story does all of that too, whether or not anyone on the team noticed it the week it published. Most news media monitoring tools that only watch the outlets a comms team already reads miss the trade blog that keeps ranking for years after everyone has forgotten it exists.
National press, trade publications, and the industry blogs that never bother issuing press badges but still get read by the people who make buying decisions.
Each story condensed to two lines with a sentiment score attached, so a full week of coverage reads in minutes instead of an afternoon.
A sudden jump in stories about you triggers an alert within the hour, whichever way the coverage happens to lean.
The Reddit thread dissecting an article shows up right next to the article itself, part of the same feed powering our Reddit monitoring platform , because comments are frequently where a reputation actually moves.
Their funding news, launch coverage, and bad press land in the same feed as yours, so a side-by-side comparison is a filter away rather than a separate research project.
Stories that AI engines begin citing get flagged specifically, since those shape answers long after the news cycle itself has ended, the same signal behind our AI search visibility feature.
How it works
Brand, executives, product names, and the topics worth covering. About five minutes to set up, start to finish.
News sources get crawled continuously, with every mention scored and summarized the moment it's found rather than batched for later.
A weekly digest shows outlets and recurring themes, while spike alerts interrupt the moment something actually breaks.
Who it's for
Know a story moved before someone forwards it to you, with a AI-written summary attached so you can judge whether it needs a response without opening ten tabs first.
Get trade coverage without running a daily clipping ritual yourself. Mentions arrive already scored for sentiment and topic, so the update to leadership writes itself from what actually ran.
See which placements traveled and which ones sank, and connect a spike in coverage to the sentiment shift that followed it, instead of guessing whether a story actually moved the needle.
A single story rarely stays a single story. It gets aggregated, syndicated, and rewritten across outlets you have never heard of, and each copy carries the original framing along with it. That is also where naive coverage counts go wrong: the same piece republished twenty times looks like twenty separate stories instead of one story that traveled. Mentient detects syndicated and republished copies and excludes them from your totals, so what you see reflects how far a story actually reached rather than how many URLs it happened to produce.
FAQ
Scope and price. Enterprise PR platforms bundle journalist databases and press-release distribution on top of monitoring, closer to a press monitoring tool for a full comms department. Mentient covers the monitoring layer on its own, adds Reddit and review context those platforms typically skip, and costs a fraction of what a full PR suite runs.
Under 30 minutes for most web sources. A genuine coverage spike triggers its own alert within the hour, rather than waiting for the next scheduled digest.
This page covers the news-specific slice of it, one of the news media monitoring tools built for teams who mainly care about press and trade coverage. Our broader media monitoring feature adds everything discussed around that coverage too, including blogs and the forums where a story gets picked apart afterward.