How do you stay on top of every brand mention with a reply ready?
A brand monitor AI Employee that searches news, social platforms, and forums for new mentions of your brand every day, classifies each one's sentiment, and posts a digest of the notable or negative ones to Slack, each with a suggested response drafted for a named human to review and send.
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Brand mentions aren't confined to one platform. They land in news coverage, social posts, and forum threads on no predictable schedule, and most of them don't matter: a passing mention, a neutral comparison, a repost. The ones that do matter are indistinguishable from the noise until someone actually reads them, and by the time a person gets around to checking, a negative post with real reach has often already had its worst hour. The usual workarounds don't fix this. A keyword alert fires on matches with no sense of sentiment or reach, so every alert looks the same regardless of whether it's a five word tweet or a widely shared negative review. Checking manually catches yesterday's mentions today, if someone remembers to look. Either way, nothing tracks what's already been seen, so the same viral post gets flagged again tomorrow.
The brand monitor AI Employee runs every day on a persistent session. Each run searches the web for new mentions of the brand across news, social platforms, and forums, checks each one against a ledger of mentions it has already reported, classifies the sentiment of anything new, and posts a digest to Slack: a one line rollup for routine mentions, and a full callout with a suggested response draft for anything notable or negative. It never posts, replies, or comments anywhere; the only output is the Slack digest.
See exactly how the work gets done.
Runs daily on a persistent session
A schedule fires once a day and prompts the same session again rather than starting from a blank slate. Because the session is reusable, it remembers what it already reported yesterday and only surfaces what's new today.
Carries the brand to watch and the ledger
The brand name, aliases, product names, and common misspellings to search for live as skills and memory, along with the running ledger of every mention already seen. When the brand adds a product line or a new alias starts getting used, you update the watch list the same way.
Searches and fetches the web, posts to Slack
Through built in web search and fetch, with no login and no credential because these are public pages, it searches news, social platforms, and forums for the brand terms, fetches the full text of each candidate to classify sentiment and reach, and posts one digest per run to the marketing channel.
Dedupes, then classifies
It checks each candidate against the memory ledger so an already reported mention never resurfaces, then classifies the sentiment and reach of anything genuinely new.
Posts the digest with a draft, never a reply
Each run ends with one Slack message: how many new mentions were found, a sentiment breakdown, and, for anything negative or notable, the source, the excerpt, why it was flagged, and a suggested response clearly marked as a draft awaiting a named human. The team reads one digest and decides what, if anything, to say back.
Runs in your environment
Every run is isolated inside your own infrastructure, and only the Slack digest it's explicitly allowed to send leaves it.
Draft, never post
Its only external action is one Slack digest per run. It never replies, comments, or posts on the platform where a mention appeared. A suggested response is a draft for a named human to review and send.
Search and read only
It only searches and reads public pages. It publishes nowhere on the open web and takes no action beyond posting the digest.
Credentials stay protected
Any credential it needs connects with permissions you set, stays in memory, never written to disk, never exposed to the model or the logs.
You own every rule
The brand terms, the watch scope, and the sentiment and notability rules are yours, versioned and changed on your terms, not in a vendor dashboard.
The team no longer finds out about a negative mention secondhand, and no one rereads yesterday's viral post because it was flagged twice. The channel gets one digest a day, quiet on quiet days, specific and actionable when something needs a response, and every response that goes out is one a named human chose to send.
Every day
New mentions found without anyone remembering to check
Dedupe by design
Already reported mentions never resurface
Draft only
A suggested response, never a reply the AI Employee sends itself
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
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