> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aris247.com/llms.txt
> Use this file to discover all available pages before exploring further.

# What is ARIS?

> AI real estate assistant that embeds on any website to search MLS listings, answer buyer questions, capture leads, and book showings 24/7.

ARIS is a 24/7 AI chat assistant built for real estate agents and brokers. It embeds on any website as a single JavaScript snippet and connects to your MLS listing data to answer buyer questions, search properties, capture leads, and book showings — automatically, around the clock.

## How it works

<Steps>
  <Step title="Embed the widget">
    Add one `<script>` tag to your website — [takes 30 seconds](/docs/getting-started/quickstart).
  </Step>

  <Step title="A visitor asks a question">
    "Show me 3-bed homes under \$500k in Austin"
  </Step>

  <Step title="ARIS handles it">
    Searches your live MLS data, returns listings with photos, answers follow-ups, and captures the visitor's contact info.
  </Step>

  <Step title="You get the lead">
    Delivered to your email, the ARIS dashboard, and your CRM (Follow Up Boss).
  </Step>
</Steps>

## Key capabilities

* **Live MLS search** via IDX Broker, MLS Grid, or a custom database
* **Natural language understanding** — buyers ask in plain English, ARIS extracts search criteria
* **Lead capture** built into the conversation flow
* **Mortgage calculator** for affordability questions
* **Showing scheduler** with agent notifications
* **Neighborhood info** — schools, walkability, local market context
* **Property comparison** — side-by-side across multiple listings

## For developers

<CardGroup cols={2}>
  <Card title="Embed Snippet" icon="code" href="/docs/embedding/html">
    One script tag, no build step. Works on any website.
  </Card>

  <Card title="REST API" icon="square-terminal" href="/docs/api/overview">
    Programmatic access to chat, listings, and config.
  </Card>

  <Card title="MCP Server" icon="robot" href="/docs/mcp/overview">
    Native AI agent integration for Cursor and Claude Desktop.
  </Card>

  <Card title="CLI" icon="terminal" href="/docs/cli/overview">
    Developer setup, testing, and CI/CD integration.
  </Card>
</CardGroup>

## Architecture

ARIS runs on Supabase Edge Functions (Deno) with a React/TypeScript dashboard. The widget is a self-contained vanilla JS bundle with zero dependencies that communicates via Server-Sent Events (SSE).

The AI engine classifies each message into one of 13 intent types, routes to the appropriate tool, and streams a response — all within a single request/response cycle.