OneRange

AI for Real Estate

Real estate agents and brokers learn to apply AI to listings, marketing, and client communication. The course covers listing content, market research, client comms, document drafting, and disclosures. Learners finish able to win and serve clients faster with AI.

What this course covers

The course runs across 8 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • Introduction to AI in Real Estate — Understand the fundamentals of generative AI, prompt engineering basics, and how AI tools can be safely integrated into daily real estate workflows.
  • Drafting High-Converting Property Listings — Learn to input property features and parameters into AI tools to generate compelling, creative, and MLS-compliant property descriptions.
  • Automating Real Estate Marketing Content — Create localized social media posts, email newsletters, and blog content tailored to specific buyer personas using AI templates.
  • Handling Client Inquiries and Communication — Practice using AI to draft immediate, professional, and empathetic responses to difficult client scenarios, price negotiations, and general inquiries.
  • AI-Powered Market Research and Analysis — Use AI tools to analyze local market trends, compile neighborhood statistics, and generate insights for prospective buyers and sellers.
  • Drafting Client Agreements and General Disclosures — Learn how to use AI to draft initial templates for client correspondence, disclosures, and simple agreements while maintaining compliance.
  • Ethical Use, Privacy, and Accuracy in AI — Navigate the critical ethical considerations of using AI in real estate, including Fair Housing compliance, data privacy, and fact-checking AI outputs.
  • Comprehensive AI Real Estate Simulation — Synthesize your skills in a realistic, multi-step simulation requiring you to win a listing, market the property, and negotiate with a buyer using AI tools.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Content Strategy, Data Analysis, Critical Thinking, AI Ethics, Generative AI Concepts.

  • Content Strategy
  • Data Analysis
  • Critical Thinking
  • AI Ethics
  • Generative AI Concepts

Who it is for

Agents, brokers, property teams. The material is pitched at beginner level, and takes roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Industry: Real Estate track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, role play, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Related

Frequently asked questions

How long does this course take?

It runs roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code IND-RE.