Kime turns thousands of real AI responses into a small set of clear scores. This page explains how to read those scores together — each one answers a different question, and they’re most powerful in combination.
What each score answers
| Metric | The question it answers |
|---|
| Visibility | How often does AI mention my brand? |
| Placement | How prominently am I positioned in answers? |
| Sentiment | How positively is my brand described? |
| Share of Voice | How much of the category conversation do I own? |
The AI Performance Score is a single composite index of overall brand health. It blends how often you’re mentioned, how prominently you’re positioned, and how positively you’re described into one number you can track over time. Because it combines all three dimensions, no single metric can paint a misleading picture — strong visibility won’t inflate your score if sentiment is poor.
Read them as a set
The real insight comes from how the scores move together:
- Visibility up, placement flat — you’re getting mentioned more, but not yet recommended first.
- Visibility up, sentiment down — more attention, but not the right kind; investigate the tone.
- SoV down, visibility steady — competitors are growing faster than you.
- Performance score rising — your overall position is strengthening across the board.
Always pair a headline number with a breakdown. Filtering by model, market, and category turns a single score into a specific, actionable insight.