# Roof AI - Convert real estate leads > Markdown mirror of DialtoneApp's public top-site detail page for `roof.ai`. URL: https://dialtoneapp.com/top-sites/roof.ai/index.md Canonical HTML: https://dialtoneapp.com/top-sites/roof.ai ## Summary - Domain: `roof.ai` - Website: https://roof.ai - Description: ai readable | score 16 | purchase read only - Label: ai_readable - Payment surface: Not available - Purchase boundary: read_only - Control boundary: unknown - Rank: 156945 ## robots Not found. ## llms ~~~text # 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. --- ## 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. --- ## 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. --- ## 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. --- ## 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. --- ## 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. --- ## 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. --- ## 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** ~~~ ## llms-full Not found.