AI Visibility Monitoring Setup

Continuous monitoring

AI visibility is not a one-time optimization. AI platforms update their retrieval methods, competitors shift strategies and user queries evolve. Continuous monitoring tracks these changes.

Step 1: Establish baseline

Run your complete query set across all platforms. Record current Share of Recommendation, Citation Share and Top3 rates. This is your baseline.

Step 2: Set monitoring cadence

Run queries monthly for stable metrics. Run weekly during active optimization campaigns. Track both absolute values and competitive changes.

Step 3: Automate where possible

Use scripts and APIs to automate query execution where available. Manual testing remains necessary for platforms without API access, but automation reduces operational burden.

Step 4: Reporting and alerting

Create dashboards showing Share of Recommendation trends, competitor movements and platform-specific performance. Set alerts for significant changes — positive or negative.

Step 5: Action triggers

Define thresholds that trigger action: drops below X% SoR, competitor gains, new platform entry. Monitoring without action triggers is just data collection.