Monitoring AI visibility is not a standalone task — it belongs in the same places your team already plans, ships, and reports. The API is how that happens.
Push mentions where work happens
Stream new and changed mentions into Slack, Linear, or your CMS so the right person sees a citation shift the moment it happens, not at the next monthly review.
Trigger fixes from diagnosis
Each diagnosis carries a failure code. With the API, that code can open a ticket pre-filled with the claim to fix and the engine that flagged it — turning insight into a queue automatically.
Close the loop in your BI tool
Pipe attribution-grade lift into your warehouse or dashboard. When visibility lift sits next to spend and pipeline, it finally becomes a number finance respects.
Automate the evidence
Scheduled queries and before/after measurements run through the API on your cadence, so the proof is always current without manual exports.
A simple integration path
- Authenticate with a scoped API key.
- Subscribe to the events you care about — new mention, citation shift, failure-code fired.
- Map each event to a destination — a Slack channel, a Linear project, a warehouse table.
- Verify with a replay of last week’s data, then let it run.
The goal is simple: visibility data should arrive where decisions are made, not where it gets archived.
Start with one integration — a Slack alert or a nightly warehouse sync — and expand as the loop proves its value.