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Monitoring & Alerts

See what changed, not another copy of the dashboard.

Store each measurement snapshot, detect six change types and confirm a signal across two runs before alerting.

View Change center
Rules Six alert types
Noise control Two-run confirmation
Cadence Configurable
Core capability

What Monitoring & Alerts helps the team understand.

Store each measurement snapshot, detect six change types and confirm a signal across two runs before alerting.

01

Change snapshots

Compare each run with the prior measured state.

02

Actionable alerts

Open the affected question, competitor, citation or crawlability view.

03

Two-run confirmation

Reduce noise caused by normal model sampling variation.

Operating model

Keep every result connected to evidence and action.

The product explains the result, preserves its source context and makes the next review explicit.

01
Alert only after evidenceA single model fluctuation does not become an immediate incident.
02
Use the configured cadenceMonitoring frequency is configurable and consumes the same measured usage pool.
03
Link alerts to actionEvery alert should lead to the place where the team can investigate or act.
Illustrative product evidence

Move from summary metrics into the underlying question.

Sample data demonstrates the evidence depth of a formal project.

InsightWonder / Monitoring & Alerts Sample data

Visibility evidence

Last 30 days
AI visibility 34% +4%
Mentioned questions 10/29 +2
Share of voice 31% +4%
Cited pages 27 +9
Buyer question Brand status Evidence
Best modular sofa for a small apartment Gap Competitor cited
Most durable washable sofa under $2,000 Mentioned Product page
Low-VOC sofa for families Recommended Guide + review
FAQ

Questions about Monitoring & Alerts

Does this feature run from the public website?

No. Marketing pages explain the capability. Formal data collection begins only after a user enters the App and confirms the project scope.

Can snapshot results become part of this workflow?

Yes. A valid snapshot can be claimed as an initial sample, while onboarding still confirms markets, competitors and the formal monitored question set.

Are all metrics comparable across AI engines?

Core answer states can be normalized, but citations, search assistance and answer formats still need engine-specific evidence.

How often is the data refreshed?

Measurement runs on the schedule your plan allows, and monitoring quota is shared at the account level. Alerts require two consecutive runs to confirm, so model sampling noise does not become a false alarm.

Can the original AI answer be inspected?

Yes. Every result drills down to the answer that produced it, question by question and model by model, together with the citations found in that answer.

What happens when a model is unavailable?

That run is marked partial rather than being silently filled in. The remaining engines still complete, and the gap stays visible in the result.

From signal to action

Put Monitoring & Alerts into a complete GEO workflow.

Create a project, confirm your market and start measuring the questions that matter.