Solutions / Monitoring alerts
Know when an engine changes its mind about you
AI answers move: models get swapped, sources get ingested, rivals get recommended. Alerting watches the answers wave over wave and tells the right person when a change is material, not every time a model twitches.
What triggers an alert
- Recommendation changes. You drop out of a shortlist answer, or a competitor enters one.
- Sentiment turns. An engine's framing of you shifts and persists across samples.
- New claims of fact. An engine starts asserting something about you it did not assert last wave, true or not.
- Source shifts. The citations behind your category answers change, which usually precedes the answers changing.
Where alerts land
Email, Feishu, Slack, Teams or a webhook into your own systems. Each alert carries the before answer, the after answer, the engine, and the sampling evidence, so the recipient can judge it in one glance.
Persistence rules are tuned with you: because engines are probabilistic, we alert on changes that hold across repeat samples, not single-run flickers.
Scoping: rio.chen@mpowerlabs.ai.