AI in Real Estate: a sales, customer service, and listing marketing workshop
A practical course for real estate agents and brokerage owners showing how to use AI for lead qualification, listing creation, follow-ups, comparative analyses, and reports for sellers — without technical jargon, with an emphasis on results, ethics, and implementation in the office.
The workshop was designed for real estate agents and brokerage owners who want to translate AI into concrete sales and operational results: faster lead response, better listing descriptions, more accurate conversation scenarios, consistent follow-up, and clear reporting for sellers. The course differs from general AI training in that it focuses on the agent’s full workflow — from the first client contact to the signature — as well as on the real artifacts used in day-to-day work: client cards, presentation checklists, property presentation packages, follow-up sequences, and comparative listing analysis reports. The program takes into account current market trends: growing pressure for fast responses to inquiries, the increasing importance of communication personalization, the rising adoption of AI by brokers, and the need to maintain trust, compliance, and human oversight. In a NAR study from September 2025, 46% of agents declared using AI-generated content, and 82% indicated a positive client reaction to the use of technology in the buying and selling process. McKinsey described cases in 2026 where AI implementations improved lead response times by more than 90%, and Deloitte showed that in commercial real estate most companies are still in the research or early implementation stage — which means an advantage for offices that learn to implement AI as a process, not just experimentally. The course is workshop-based: participants create their own materials, compare weak and strong versions of communication, and build a capstone covering the customer service pipeline from lead to signature.
What you will learn
- Assesses which stages of the real estate sales process offer the greatest return on time and budget when using AI.
- Qualifies leads using consistent criteria and creates contact priorities without losing service quality.
- Creates listing descriptions tailored to different buyer personas and different publication channels.
- Prepares conversation scripts for prospecting, property presentations, price objections, and closing the next step.
- Builds follow-up and reminder sequences that increase client responses without pushy communication.
- Uses comparative listing analysis to prepare a report for the seller and a pricing conversation.
- Designs a property presentation package including the sales narrative, key arguments, and materials supporting the presentation.
- Applies ethical standards, communication compliance, and human oversight principles when working with AI.
- Implements a simple, measurable customer service pipeline from lead to signature in the office.
- Distinguishes weak and strong briefs, checklists, messages, and reports based on concrete before/after examples.
Prerequisites
Basic experience in sales or customer service in the real estate market; familiarity with the process of acquiring and managing clients; willingness to work in a workshop format on your own listings, messages, and conversation scenarios. No technical knowledge is required.
Course syllabus
- From inquiry to closing: a sales process map where AI shortens time and raises service standards
- Overview of workshop tools: ChatGPT, Canva, and Notion AI without technical jargon
- Real estate agency case: what is worth automating, and what should not be handed over to AI in client contact
- Diagnostic exercise: identify 10 repetitive tasks in your work that take up the most time today
- Opening quiz: recognizing good and bad uses of AI in real estate sales
- Weak apartment description vs strong sales brief: a full-example comparison
- How to collect data for an offer so AI doesn’t invent facts or mix up parameters
- Workshop: from raw notes, photos, and a listing, you create a property brief card
- Quality checklist for a brief: location, standard, target group, advantages, limitations, purchase context
- Critique of examples: which information in the listing is sales-oriented, and which only pads out the description
- Quiz: spot the errors, gaps, and risks in input data for generating an offer description
- The anatomy of a good prompt for an agent: role, goal, offer context, client, channel, constraints
- The same topic, three different outcomes: how changing the instruction affects the style and effectiveness of the message
- Prompt for an offer description, a prompt for a message, and a prompt for a conversation: three different tasks, three different structures
- Refinement workshop: how to improve an AI answer without starting from scratch
- Library of ready-made prompts for the daily work of an agent and real estate office
- Quiz: choose the best prompt for a specific sales situation
- The First 5 Minutes After an Inquiry: What Response Is Worth Sending to a Buyer, and What to a Seller
- Full comparison: generic lead response vs. a message that opens a conversation
- Workshop: you create a set of first responses for a form, SMS, Messenger, and email
- How to ask about budget, timeline, location, and motivation without sounding like a survey
- Lead scoring with AI: which signals indicate readiness for a conversation and presentation
- Critiquing ready-made participant messages: improving tone, specifics, and CTA
- Conversation scenario with a buyer: from identifying needs to inviting them to a presentation
- Conversation scenario with a property owner: how AI helps prepare an offer argumentation
- Difficult situations in customer service: the client is silent, compares prices, delays the decision, or comes back later
- Workshop: You create answers to the 12 most common client questions about the offer and the sales process
- Meeting notes and post-call agreements: how to organize them in Notion AI and return to them without chaos
- Situational quiz: choose the best response for the stage of the customer relationship
- A description of an apartment, a house, and a plot of land is not the same thing: how listing language changes
- Before and after: turning a boring property description into text that builds a sense of purchase
- Headlines, leads, and CTAs for listings: which promises attract attention and which reduce credibility
- Multi-version workshop: you create 3 versions of the description of the same offer for different customer groups
- Critical editing: how to catch exaggeration, inaccuracies, and empty phrases generated by AI
- Publication checklist before posting an ad
- What story does the listing sell on social media: location, lifestyle, opportunity, or the agent’s expertise
- Formats Worth Distinguishing: Sales Post, Reel, Carousel, Stories, and an Educational Series Around the Offer
- Content workshop: you plan 14 days of publishing for one property and one agent
- Canva in Practice: How to Use Magic Write to Prepare Copy and a Draft of Visual Materials for an Offer
- Critique of social posts: what looks like an ad without substance, and what builds interest and trust
- Quiz: Match the publication format to the marketing goal and the stage of working with the offer
- How to combine work on leads, offers, notes, and publications into one simple workflow
- AI agent workday template: what to prepare in the morning, what to delegate to AI during the day, and what to check manually
- Security and confidentiality: how to work with client data, documents, and arrangements without unnecessary risk
- Quality audit: effectiveness metrics for lead responses, listing descriptions, and social media content
- Final workshop: you build your own AI playbook for sales, customer service, and offer marketing
- Summary quiz: implementation decisions, priorities, and common mistakes after the course
FAQ
The course is designed for real estate agents, team leaders, and brokerage owners who want to use AI in practical sales and operational work. It will work well both for people who are just starting to work with AI tools and for those who want to organize the process from the first client contact to the signature.
This is not a broad training on trends. The program focuses on the day-to-day work of a real estate agent: lead handling, conversation scenarios, listing descriptions, follow-up, communication with sellers, and reporting. You learn using concrete artifacts that can be implemented immediately in the office and team.
The course helps shorten response times to inquiries, standardize communication, improve the quality of listing descriptions, and bring more order to sales activities. This is especially important today, as AI is quickly becoming standard in sales: according to Salesforce, 87% of sales organizations already use AI for tasks such as prospecting, lead scoring, or message creation, and top salespeople use AI for prospecting activities more often than weaker sellers.
Yes. The program was designed around the agent workflow and the needs of real estate offices. This is important because AI adoption in real estate is accelerating: JLL indicates that nearly two-thirds of commercial real estate companies have started AI use case pilots, and 73% of professionals use AI to support their daily work.
The course covers the full sales and customer service process: first contact with the lead, qualification, communication preparation, conversation scenarios, listing descriptions and positioning, follow-up, reporting for sellers, and organizing work in a more repeatable and scalable way.
Yes. A strong emphasis is placed on creating better descriptions, sales messages, and materials that improve listing clarity and the consistency of the agent’s or office’s brand. This is a current market direction: in Poland, AI is already being used, among other things, to update listings, organize data, and write property descriptions, although experts emphasize that the content must be reliable and cannot promise more than the property actually offers.
Yes — the course is implementation-oriented. Its goal is to develop practical templates and materials for everyday work, such as prompts, response frameworks, follow-up templates, conversation scripts, and structured reporting methods. As a result, you finish the course with tools that can be used right away, not just theory.
- 12 hours
- Intermediate
- Certificate on completion
- Access immediately after purchase