Hoot in Slack the moment sentiment turns
Sentiment dips on a platform, and your channel gets the alert — with the model and the source.
What this play does
Being named isn't the same as being recommended. When the tone of how AI talks about you slips, you want to know today — with enough context to act, not just a red number.
The loop
- 1
MentionOwl watches sentiment across every platform and prompt.
- 2
On a meaningful drop, your agent gathers the cause and the source answer.
- 3
It posts the alert to Slack with model, prompt, and quote.
What you get
- Same-day warning when tone slips
- The model and the exact answer behind it
- A head start on the fix
The owl’s part
The MentionOwl data and MCP tools this play leans on.
Example agent prompt
Paste this into any agent with the MentionOwl MCP connected. The owl answers for the MentionOwl parts; your agent handles the rest.
MentionOwl MCP connectedWatch MentionOwl sentiment daily. If any platform's sentiment for our brand drops meaningfully, post a Slack alert with the platform, the prompt, the offending answer, and a one-line take on the likely cause.
