Top Sites>Roof AI - Convert real estate leads

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# Roof AI

> Roof AI provides an AI assistant for residential real estate brokerages to engage website visitors, qualify and route leads, and convert more digital leads into closed transactions.

## Overview

- [Homepage](https://roofai.com/) – High-level overview of Roof AI, who it serves, and how it helps real estate brokerages convert more website and portal traffic into revenue.
- [Book a demo](https://roofai.com/book-a-demo) – Primary way for brokerages to speak with the Roof AI team, see the product in action, and discuss fit.

### Outcomes for brokerages

Based on customer results, brokerages using Roof AI have reported:

- **7.5% lead-to-close rate** on leads handled by the assistant.  
- **4× more qualified leads** compared with prior lead handling processes.  
- **11 hours saved per week** per agent by automating lead response and follow-up.

These outcomes are driven by Roof AI’s ability to handle conversations at scale while routing high-intent opportunities to the right agents.

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## Solutions and jobs to be done

The following pages describe what Roof AI does for real estate brokerages and how it fits into their digital strategy.

- [Solutions](https://roofai.com/solutions) – Explains how Roof AI helps brokerages capture more online demand, convert more leads to appointments, and protect market share against portals and full-stack competitors.

### Jobs to be done

These pages are organized around key stages in the brokerage lead lifecycle.

- [Engage visitors](https://roofai.com/engage-visitors) – Shows how Roof AI turns anonymous website visitors into identified leads by answering questions, recommending properties, and capturing contact details 24/7.
- [Book appointments](https://roofai.com/book-appointments) – Explains how Roof AI qualifies leads and helps brokerages schedule showings and consultations with the right agents.
- [Nurture clients](https://roofai.com/nurture-clients) – Describes how Roof AI uses behavior and property interest to send relevant follow-ups and keep the brokerage top of mind over time.
- [Follow up intelligently](https://roofai.com/follow-up-intelligently) – Details how Roof AI highlights opportunities that need attention, supports re-engagement, and reduces the number of leads that go cold.

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## Product capabilities

These pages describe the main product modules and how they connect to brokerage systems.

- [Features](https://roofai.com/features) – Overview of Roof AI’s core capabilities, including AI-powered conversations, property recommendations, lead routing, nurture workflows, and reporting.
- [AI search](https://roofai.com/ai-search) – Natural-language property search that lets buyers describe what they are looking for and returns matching listings using MLS and IDX data.
- [AI conversations](https://roofai.com/ai-conversations) – Website assistant that answers questions about listings, neighborhoods, and the buying process, while capturing and qualifying leads.
- [Data integrations](https://roofai.com/data-integrations) – Overview of MLS/IDX, CRM, and roster integrations that allow Roof AI to sync leads, route opportunities, and stay aligned with brokerage data.

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## Customers and case studies

These pages provide evidence of how brokerages use Roof AI and the results they have achieved.

- [Customers overview](https://roofai.com/customers) – Summary of brokerages working with Roof AI, with links to individual customer stories and examples.

### Individual case studies

- [Briggs Freeman Sotheby’s International Realty](https://roofai.com/customers/briggs-freeman) – Case study on how a luxury brokerage uses Roof AI to deliver high-touch digital experiences and convert more online visitors.
- [Berkshire Hathaway HomeServices Fox & Roach, REALTORS®](https://roofai.com/customers/foxroach) – Case study describing how a large brokerage uses Roof AI to handle lead volume and surface high-intent opportunities to agents.
- [RealtySouth](https://roofai.com/customers/realtysouth) – Case study covering how RealtySouth automates lead response and improves customer experiences on its digital channels.
- [Woods Bros Realty](https://roofai.com/customers/woods-bros-realty) – Case study explaining how Woods Bros Realty leverages Roof AI to personalize website interactions and grow closed deals.

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## Resources and thought leadership

These pages provide additional context on Roof AI’s point of view on real estate, AI, and digital customer experience.

- [Blog](https://roofai.com/blog) – Collection of articles on real estate customer experience, AI in residential real estate, and product updates.

### Selected articles

- [Lead response time](https://roofai.com/blog/lead-response-time) – Discusses how response speed impacts lead conversion for brokerages and why immediate follow-up matters.
- [The next chapter in real estate AI](https://roofai.com/blog/the-next-chapter-in-real-estate-ai) – Outlines how AI is reshaping residential real estate and where brokerages can differentiate.
- [Roof AI CEO on ChatGPT and the need for guardrails](https://roofai.com/blog/roof-ai-ceo-on-chatgpt-and-the-need-for-guardrails) – Explores how general-purpose AI tools like ChatGPT relate to real estate use cases and why domain-specific guardrails are important.
- [Real estate SEO keywords](https://roofai.com/blog/real-estate-seo-keywords) – Provides guidance on keywords and topics brokerages can use to attract the right buyers and sellers through search.

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## Company

- [Company](https://roofai.com/company) – Background on Roof AI, including mission, story, and information about the team building the product for real estate brokerages.

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## Legal and policies

These pages describe how Roof AI is allowed to be used and how data is handled.

- [Acceptable Use Policy](https://roofai.com/legal/acceptable-use-policy) – Explains permitted and restricted uses of Roof AI’s products and services.
- [Terms of Service](https://roofai.com/legal/terms-of-service) – Sets out the terms that govern use of Roof AI’s services.
- [Privacy Policy](https://roofai.com/legal/privacy-policy) – Describes how Roof AI collects, uses, and protects personal data.

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## Metadata

- Canonical domain: **https://roofai.com/**
- Intended audience: Residential **real estate brokerages** and their leadership, marketing, and technology teams.
- Primary contact path: [Book a demo](https://roofai.com/book-a-demo)
- Preferred brand name: **Roof AI**
- Last updated: **2025-12-09**