> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kime.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# AI master overview

> The four headline scores that summarize your brand's health in AI answers.

The AI master overview is the control center of your dashboard. It rolls up data from all of your tracked prompts and models into four headline scores that tell you, at a glance, how your brand is doing in AI answers.

## The four scores

<CardGroup cols={2}>
  <Card title="AI Performance Score" icon="gauge-high">
    A single composite index of overall brand health, combining how often, how prominently, and how positively you're mentioned.
  </Card>

  <Card title="Visibility" icon="eye">
    How much of your tracked prompt library mentions your brand.
  </Card>

  <Card title="Placement" icon="list-ol">
    How prominently you're positioned within AI answers, on average.
  </Card>

  <Card title="Sentiment" icon="face-smile">
    How positive, neutral, or negative the tone is when AI mentions you.
  </Card>
</CardGroup>

For a deeper definition of each, see the [Metrics](/metrics/visibility) section.

## Read them together

The scores are most useful as a group:

* **High visibility, weak placement** — AI knows your brand but isn't recommending it first. Focus on becoming a top recommendation.
* **High visibility, low sentiment** — you're being talked about, but not favorably. Look at what's driving the negative tone in [AI Perception](/features/ai-perception).
* **Rising performance score** — your overall health is improving; use the date filter to tie it back to a campaign or content push.

## Use it for reporting

The master overview is the cleanest way to report progress to stakeholders. Adjust the date range to show how your scores moved after a launch or optimization effort, and use it as the consistent benchmark for your brand's growth in AI.