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 contact with a client to the signature — and on real artifacts used in daily 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 rapid responses to inquiries, the increasing importance of communication personalization, the rising adoption of AI by intermediaries, 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 at the research or early implementation stage — which means an advantage for offices that learn to implement AI in a process-driven way, 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 client 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 acquisition, 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 support price discussions.
- Designs a property presentation package that includes a 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 client 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
- How the Agent’s Work Is Changing Today: Response Speed, Personalization, and the Pressure of Trust
- Which tasks in a real estate office are worth supporting with AI, and which should not be handed over to automation
- From experiments to process: how to avoid implementation chaos in a small office
- Quick Wins Map: leads, offers, follow-up, report for the seller
- Quiz: choosing 3 implementation priorities for the next 30 days
- How to distinguish an urgent, promising, and seemingly active lead
- Client card that speeds up the decision on the next step
- Weak brief vs. good client brief: what must be included in the input data
- How to create clarifying questions without making it feel like an interrogation
- Lead Quality Assessment Using Buyer and Seller Examples
- Quiz: prioritizing 10 leads based on customer cards
- How to write an apartment description for an investor, and how to write one for a family looking for their first home
- Sales Description Without Exaggeration: Benefit Language, Specifics, and Credibility
- Before and after: how effectiveness changes when the description addresses the client’s real concerns
- One Property, Three Versions of the Message: Portal, Social Media, and Private Message
- Workshop exercise: 10 descriptions for 2 customer segments
- Quiz: Recognizing Risky Promises and Overly General Phrasing
- First conversation with a lead: how to quickly move from inquiry to a meaningful needs diagnosis
- Conversation scenario with an owner who has overly high price expectations
- How to conduct a property presentation so the client adds the value themselves
- Conversations After a Presentation: How to Return to the Client Without Losing Sales Momentum
- Weak and strong response scenarios to objections: commission, price, location, standard
- Quiz: Matching the Scenario to the Customer Type and Sales Stage
- Why Most Real Estate Follow-Ups Sound the Same and Don’t Work
- How to Set the Rhythm of Contact After the First Inquiry, a Presentation, and Negotiations
- Follow-up for the buyer, seller, and undecided client: three different conversation logics
- Before and after: a pushy message versus a helpful and specific message
- Workshop Exercise: 20 Follow-Ups for Typical Sales Situations
- Follow-up and Reminder Sequence Templates for a Real Estate Office
- Quiz: the next step worth suggesting in a given situation
- How to Read Comparative Listings Without Confusing Data with a Sales Argument
- What the owner really wants to understand from market analysis
- A report for the seller that builds trust instead of overwhelming with tables
- How to explain a price recommendation and correction scenarios without conflict
- Before and after: a data-overloaded report versus a report that leads to a decision
- Quiz: choosing arguments for a discussion about the offer price
- What the property presentation package for a buyer and seller consists of
- Presentation checklist: what to prepare before, during, and after the meeting
- Workshop exercise: building a complete property presentation package
- Ethical standards: where a helpful simplification ends and the risk of misleading begins
- Communication compliance: data privacy, content rights, and human approval before sending
- Quiz: assessment of risky wording and marketing materials
- From Individual Tasks to a Coherent Client Service Process
- Pipeline project: lead, qualification, offer, presentation, follow-up, negotiations, signing
- How to assign roles, deadlines, and accountability in a small real estate office
- Effectiveness metrics: response time, number of presentations, follow-up responses, conversion
- 30- and 90-Day Implementation Plan for an Agent or Office Owner
- Final quiz: implementation decisions and process quality control
FAQ
The course is designed for real estate agents, team leaders, and brokerage owners who want to use AI in practical sales and operations. It works 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 contact with a client to the signature.
This is not a broad training on trends. The program focuses on the daily work of a real estate agent: lead handling, conversation scripts, listing descriptions, follow-up, communication with sellers, and reporting. You learn through 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’s 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 companies in the commercial real estate sector 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 scripts, 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 stress 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 daily work, such as prompts, response frameworks, follow-up templates, conversation scripts, and structured reporting methods. As a result, you finish the course with tools you can use right away, not just theory.
- 12 hours
- Intermediate
- Certificate on completion
- Access immediately after purchase