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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.

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.

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How it works

1

Embed the widget

Add one <script> tag to your website — takes 30 seconds.
2

A visitor asks a question

“Show me 3-bed homes under $500k in Austin”
3

ARIS handles it

Searches your live MLS data, returns listings with photos, answers follow-ups, and captures the visitor’s contact info.
4

You get the lead

Delivered to your email, the ARIS dashboard, and your CRM (Follow Up Boss).

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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

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For developers

Embed Snippet

One script tag, no build step. Works on any website.

REST API

Programmatic access to chat, listings, and config.

MCP Server

Native AI agent integration for Cursor and Claude Desktop.

CLI

Developer setup, testing, and CI/CD integration.

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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.