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

# Introduction

> What Share Of Model is and what it measures

## What is Share Of Model

Share Of Model is a Brandtech product that measures how brands and domains appear inside answers generated by AI models — ChatGPT, Gemini, Claude, Perplexity, LLaMA, and more.

As large language models reshape how people search, shop, and form opinions, classic SEO metrics no longer cover the full picture. Share Of Model gives marketing, brand, and SEO teams a way to track AI visibility the same way they track organic search: with metrics, benchmarks, and trends across models and competitors.

## What it measures

The platform turns LLM answers into quantifiable signals across three dimensions:

* **Visibility** — how often and how prominently your brand or domain shows up in AI-generated answers (presence rate, visibility score, average position).
* **Perception** — how LLMs describe your brand: strengths, weaknesses, sentiment, and the attributes most associated with you and your competitors.
* **Influence** — which sources and contexts AI models lean on when forming an opinion about your brand.

These metrics are produced by running structured prompts against multiple LLMs at a defined cadence, then aggregating the results inside an analysis.

## What you can do with it

* **Brand Analysis** — benchmark awareness and perception against competitors across LLMs.
* **Search Visibility** — track domain and brand presence in traditional and generative search engines, including fan-out queries.
* **Asset Evaluations** — score creative materials (ads, copy, images, video) against AI-driven evaluation criteria.
* **GEO Audit** — measure how generative engines surface your content and where to optimise.

## How the API fits in

Everything you see in the platform is also reachable through the [Core API](/api-reference/introduction): authentication, organisations, workspaces, integrations, analyses, metrics, and more. A subset of read-only endpoints is also exposed via [MCP](/api-reference/mcp-integration) so LLM agents can query your workspace data directly.

## Where to next

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/api-reference/quickstart">
    Make your first authenticated API call.
  </Card>

  <Card title="Organizations & Workspaces" icon="sitemap" href="/concepts/organizations-workspaces">
    Pick the right tenancy structure.
  </Card>

  <Card title="Brand Analysis" icon="chart-line" href="/platform/models/brand-analysis-starter-kit">
    Run your first awareness and perception analysis.
  </Card>

  <Card title="Search Visibility" icon="magnifying-glass" href="/platform/search/overview-what-how-purpose">
    Track presence in generative search engines.
  </Card>
</CardGroup>