> ## 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 Perception

> Understand how AI models talk about your brand and what's driving their tone.

AI Perception goes beyond a single sentiment score to show you **why** AI models describe your brand the way they do. It's your reputation dashboard for the AI era — track how perception changes over time and pinpoint what's helping or hurting you.

## What you can do

<CardGroup cols={2}>
  <Card title="Track sentiment over time" icon="chart-line">
    Watch your overall sentiment score move and catch shifts early.
  </Card>

  <Card title="See what drives it" icon="scale-balanced">
    Identify the factors and themes pushing your perception up or down.
  </Card>

  <Card title="Find the keywords" icon="key">
    See which words and topics drive positive and negative mentions of your brand.
  </Card>

  <Card title="Trace the sources" icon="link">
    Discover which websites AI pulls from when it talks about you, so you know where to focus.
  </Card>
</CardGroup>

## Filter to compare

Break perception down by **country**, **AI model**, **category**, and **time period** to see how your brand is viewed across markets and platforms. Perception often varies significantly from one region or model to another — these filters help you spot where.

## AI summary

AI Perception generates a plain-language summary of how models perceive your brand overall, highlighting your key strengths and the areas creating the most friction. It gives you a clear starting point for action without combing through every response.

<Tip>
  When you spot a source driving negative perception, send it to [Actions](/features/actions) so your team has a concrete task to address it.
</Tip>