AI Visibility Score

A mention is any time an AI model names your brand in its response, even in passing or alongside competitors. A recommendation is stronger: the AI is actively suggesting your brand as a solution or a top choice for the person asking. Recommendations carry more weight in your score because they signal AI treats you as an answer, not just a reference.

Each model is trained differently, pulls from different sources, and updates on its own schedule, so it's normal for your score to vary by engine. The Model Comparison view shows you these gaps directly. If one engine is significantly behind the others, that's usually your clearest starting point for fixes.

Your score updates every time a scan runs. Free plans run scans manually; paid plans add weekly or daily auto-scans depending on tier, so your score reflects the most recent scan rather than a fixed snapshot.

Yes. AI models retrain, re-index sources, and change how they answer over time, so your score can shift even without any action on your end. This is why Score Movement tracks drops separately from gains: it helps you tell the difference between something you need to fix and normal model drift.

A higher score is always better relative to your own baseline, but absolute scores vary by category. Categories with more competition or more ambiguous buyer questions tend to produce lower average scores across the board, so competitor benchmarking matters more than chasing a universal number.

The score becomes more reliable as you track more prompts, since a handful of prompts can be skewed by a single AI response. Most brands start seeing a stable, representative score once they're tracking 20 to 40 relevant prompts across their category, which is roughly where the Starter and Growth plans land.