> ## 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.

# Introduction

> Track and improve how AI models talk about your brand across ChatGPT, Google AI Mode, Gemini, Claude, Perplexity, Copilot, and Grok.

Your audience isn't only searching Google anymore. They ask ChatGPT for recommendations, research with Perplexity, compare options in Google AI Mode, and get answers from Gemini, Claude, Copilot, and Grok. People are having conversations with AI instead of typing keywords — and that means brand visibility works differently now.

**Kime shows you how your brand appears in AI answers, and what you can do to influence it.**

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/getting-started/quick-setup-guide">
    Go from sign-up to your first results in a few minutes.
  </Card>

  <Card title="Connect your brand" icon="plug" href="/getting-started/connect-your-brand">
    Set up your workspace and let Kime build a tracking profile.
  </Card>

  <Card title="Understand your metrics" icon="chart-line" href="/metrics/visibility">
    Learn what visibility, placement, sentiment, and share of voice mean.
  </Card>

  <Card title="Connect AI assistants" icon="robot" href="/administration/integrations">
    Bring your Kime data into Claude, ChatGPT, and other AI tools.
  </Card>
</CardGroup>

## What Kime does

Kime tracks how your brand shows up when people ask AI about your industry. Instead of traditional search rankings, we focus on the things that matter in AI answers:

* **Visibility** — how often your brand is mentioned across AI responses.
* **Placement** — how prominently you appear when you are mentioned.
* **Sentiment** — whether AI describes your brand positively, neutrally, or negatively.
* **Share of Voice** — how much of the category conversation you own versus competitors.

Underneath all of this are [Sources](/features/sources) — the websites and content AI models reference when they mention brands. When your visibility or placement shifts, it's usually because sources changed what they say about your category, which makes them your biggest opportunity to improve.

## What you'll find in these docs

<CardGroup cols={2}>
  <Card title="Get started" icon="flag-checkered" href="/getting-started/quick-setup-guide">
    Understand what Kime tracks, pick your setup, and get your first insights fast.
  </Card>

  <Card title="Set up your workspace" icon="sliders" href="/getting-started/connect-your-brand">
    Connect your brand and build your tracking: prompts, competitors, markets, and answer engines.
  </Card>

  <Card title="Dashboard" icon="gauge-high" href="/dashboard/dashboard-overview">
    Read your headline scores and competitive rankings at a glance.
  </Card>

  <Card title="Metrics" icon="chart-simple" href="/metrics/visibility">
    Definitions for every metric and how to interpret them together.
  </Card>

  <Card title="Insights" icon="magnifying-glass-chart" href="/features/ai-perception">
    Go deeper with AI Perception, Sources, and Competitor Analysis.
  </Card>

  <Card title="Take action" icon="list-check" href="/features/actions">
    Turn data into prioritized work with Actions, and ask questions with the Agent.
  </Card>

  <Card title="Administration" icon="gear" href="/administration/roles-and-permissions">
    Manage roles, team access, and connect AI assistants to your data.
  </Card>

  <Card title="Agency" icon="buildings" href="/agency/setting-up-your-first-client">
    Manage many client brands, run pitch audits, and scale your operation.
  </Card>
</CardGroup>

## Who uses Kime

Kime is built for teams that take AI search seriously — **marketing and brand leaders** tracking positioning, **SEO and GEO teams** treating AI as its own channel, **ecommerce teams** protecting product-category recommendations, and **agencies** managing visibility across many clients.

<Note>
  AI answers are non-deterministic and vary day to day, so Kime focuses on trends and patterns over time rather than any single response. See [Data & accuracy](/metrics/other/metric-limitations) for how to interpret your data.
</Note>