Autotracking — Automated Visibility Monitoring

With Autotracking, your AI visibility is automatically checked at regular intervals — without any manual effort.

What Does Autotracking Do?

Autotracking automatically and repeatedly executes your configured prompts. Each run creates a new data point in your time series. This builds a complete history of your AI visibility, allowing you to identify trends and measure progress.

Setup

Navigate to Monitor → Research Engine → Test Cycle. There you can activate and configure the autotrack schedule. Select the desired models, prompts, and scopes that should be automatically checked.

Frequency & Intervals

The execution frequency depends on your plan: Monitor plan = weekly, Authority plan = weekly, Enterprise = daily. Each autotrack run consumes scans according to the formula: Prompts x Models / 100.

Time Series & Historical Data

All autotrack results are automatically saved and form time series on the dashboard. You can track changes over weeks and months, identify seasonal patterns, and measure the impact of your optimization efforts.

Enable autotracking as early as possible to build a meaningful data foundation. Even with poor starting values — that is precisely when time series best show progress.