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Selling is no longer an individual skill

AI for Real Estate Sales

From AI tools to a complete smart real estate sales system — with the final day dedicated to building your own

8 Accredited Hours 4 Days Junior to Senior
Reserve Your Seat Course Details
Officially accreditedProfessional attendance certificate accredited by NAHJ
Program overview

About the program

A hands-on program that makes Claude your sales coach and sales assistant in real estate: it helps you analyze and score leads, communicate and handle objections, match clients with the right properties, prepare for meetings and follow up. Training uses real leads and real-estate market scenarios, every unit has an output you use immediately, and the final day is dedicated to building your own AI Sales Assistant — so you leave with ready workflows, not just saved prompts.

  • Real leads — training on leads and scenarios from the real estate market
  • Claude Sales — from the first lead to closing, Claude works with you at every stage
  • Immediate outputs — every unit has a tangible output you use right away
  • Few tools, used smartly — not “20 AI tools”, but the right tool for a real sales problem
  • Fits every level: an AI sales coach for juniors, an AI sales assistant for mid-level and an AI sales workflow for seniors

Core Program Objective

  • 01Use Claude as a sales coach and sales assistant to simplify daily tasks
  • 02Analyze, qualify and score leads and set the next best action for each client
  • 03Improve client communication and handle real estate objections
Program goals

What will you be able to do after the program?

Lead analysis
Lead qualification and scoring
Understanding the client and building a customer profile
A tailored sales strategy for each client
Sales communication
Objection handling
Property matching
Meeting and call preparation
Meeting summaries
Follow-up
Sales proposals
Training and role play
The development journey

Before and after the course

Before the Program

  • A lead with scattered data
  • The same pitch for everyone
  • “Too expensive” and “I’ll think about it” stall the deal
  • Traditional proposals take time
  • Just a few saved prompts
Learning Journey

After the Program

  • A ready, organized customer profile
  • A tailored sales strategy for each client
  • Objection → analysis → response → follow-up question → closing opportunity
  • Tailored proposals, much faster with AI
  • Ready workflows + an AI Sales Assistant working from the next day
Target audience

Who is this program for?

Real Estate Sales Agents

Those dealing with clients and leads every day.

Why it fits you

Claude analyzes the lead, prepares your replies and follow-ups and trains you on objections.

Sales Managers

Leaders of real estate sales teams.

Why it fits you

Build a standardized sales process for your team and measure the system’s impact on sales.

Property Consultants & Brokers

Property consultants and brokers.

Why it fits you

Match client needs to the right property and prepare tailored proposals quickly.

Junior Sales

Newcomers to real estate sales.

Why it fits you

An AI sales coach helps you understand clients, talk to them and practice calls.

Real Estate Brokerage Offices

Offices managing many clients and properties.

Why it fits you

An organized property knowledge base and a follow-up system that saves the team time.

Developer Sales Teams & Account Managers

Project sales teams at real estate developers.

Why it fits you

Teach AI your projects, units and payment plans so it answers and supports sales decisions.

Learning path

The course journey

01
DAY 1

Claude Sales — Understand Your Client, Sell Smarter

2 hours

AI in real estate sales • Lead analysis with AI

Details
02
DAY 2

Communication, Follow-up & Closing

2 hours

Sales communication with AI • Objection handling with AI

Details
03
DAY 3

Knowledge Base & Property Matching

2 hours

Building the property knowledge base • AI property matching

Details
04
DAY 4

Advanced Concepts + Final Project

2 hours

AI as an integrated sales system • Customizing the system for your work

Details
Details

Training content in detail

01

AI in Real Estate Sales

5 topics

Day 1 — the foundation. Tools: ChatGPT and Claude.

Topics covered

  • Introduction to AI and generative AI
  • How AI supports the real estate sales agent
  • Claude Sales vs. chatbot vs. AI agent
  • Identifying sales tasks AI can improve
  • Real use cases in real estate

Practical skills

Understanding generative AI
Expected deliverable: A clear understanding of where and how AI fits into your daily sales work.

Day 1 — from any lead to a complete profile: conversation → customer profile → buying intent → core requirements. Tools: ChatGPT and Claude.

Topics covered

  • Analyzing lead conversations
  • Extracting client requirements
  • Understanding buying intent
  • Budget, location and property type
  • Pain points and buying signals

Practical skills

Conversation analysisBuying intent
Expected deliverable: An organized customer profile from any lead — however scattered its data.

Day 1 — hot, warm and cold classification. Tools: ChatGPT, Claude and Google Sheets.

Topics covered

  • Lead qualification
  • AI lead scoring
  • Buying intent analysis
  • Prioritizing
  • The next best action for each lead

Practical skills

Lead scoringPrioritization
Expected deliverable: A lead scoring framework that shows which lead deserves your time first — and the next action for each.

Day 1 — tools: ChatGPT and Claude.

Topics covered

  • Building a customer persona
  • Buying motivation
  • Pain points
  • Decision factors
  • The questions you should ask
  • A personalized approach
  • Recommended selling points for each client

Practical skills

Customer personasSales strategy
Expected deliverable: A tailored sales strategy for each client — instead of the same pitch for everyone.

Day 2 — tailored messages for every client. Tools: ChatGPT and Claude.

Topics covered

  • Sales WhatsApp messages
  • Call scripts
  • Opening and discovery questions
  • A tailored sales pitch
  • Tailored replies for each client
  • Formal vs. casual — when to use which

Practical skills

Call scriptsSales pitch
Expected deliverable: A library of tailored sales communication templates — for any client and any situation.

Day 2 — understanding the real reason behind every objection and handling the most common real estate objections. Tools: ChatGPT and Claude.

Topics covered

  • “It’s too expensive”
  • “I’ll think about it”
  • “I’ll look at other projects”
  • “Not now”
  • “The down payment is too high”
  • “The location doesn’t suit me”
  • Objection → analysis → response → follow-up question → closing opportunity

Practical skills

Objection handling
Expected deliverable: An AI objection handling framework.

Day 2 — tools: ChatGPT, Claude and Google Sheets.

Topics covered

  • Follow-up strategy
  • Tailored follow-up messages
  • The best follow-up timing
  • Long-term lead nurturing
  • Reactivating cold clients
  • The next follow-up action

Practical skills

Lead nurturingFollow-up
Expected deliverable: An AI follow-up system that generates tailored messages based on the last conversation and the client’s current status.

Day 2 — a complete system covering before and after each meeting, turning conversations into organized sales steps. Tools: ChatGPT, Claude and NotebookLM.

Topics covered

  • Before: a client brief — the complete client file
  • Before: client requirements and previous conversations
  • Before: expected objections, recommended questions and sales strategy
  • After: meeting summary and client requirements
  • After: objections and buying intent level
  • After: action items and the follow-up plan
  • After: CRM-ready notes

Practical skills

Meeting preparationMeeting summaries
Expected deliverable: A complete before-and-after meeting workflow that turns client conversations into organized sales steps.

Day 3 — teach AI your projects and the information sales needs. Tools: NotebookLM, ChatGPT and Claude.

Topics covered

  • Projects
  • Units
  • Prices
  • Payment plans
  • Locations
  • Amenities
  • Delivery dates
  • FAQs
  • Sales information

Practical skills

Knowledge base design
Expected deliverable: An organized property knowledge base that AI uses to answer and support sales decisions.

Day 3 — connect the client with the right property: client requirements → AI analysis → property matching → recommendation → selling points. Tools: ChatGPT, Claude and Google Sheets.

Topics covered

  • Matching client requirements to properties
  • Budget matching
  • Location and property type matching
  • Payment plan matching
  • Comparing several projects
  • Choosing the best options for the client

Practical skills

Property matching
Expected deliverable: An AI property recommendation workflow that picks the best properties for each client’s needs.

Day 3 — tools: ChatGPT, Claude and Canva / Gamma.

Topics covered

  • Tailored property recommendations for each client
  • Client-specific selling points
  • Project comparison
  • Explaining payment plans clearly
  • Generating complete proposals
  • Recommendations ready for WhatsApp or email

Practical skills

Sales proposals
Expected deliverable: A complete workflow for tailored proposals — much faster than the traditional way.

Day 3 — participants practice with AI as if it were a real client, then get feedback from the AI sales coach. Tools: ChatGPT and Claude.

Topics covered

  • AI plays: an interested client, a difficult client, a price-sensitive client, an investor, a hesitant client
  • Feedback: what you did right
  • Feedback: what you missed
  • Feedback: questions you should have asked
  • Feedback: objections you handled wrongly
  • Feedback: how to improve your closing

Practical skills

Role playClosing
Expected deliverable: An AI sales coach that simulates real conversations and gives feedback on communication, questions, objections and closing.

Day 3 — tools: Google Sheets, ChatGPT and Claude.

Topics covered

  • Preparing lead and project data
  • Building client scenarios for testing
  • Preparing a full test scenario
  • Preparing the connections between parts
  • The testing and rollout plan after the program

Practical skills

Data preparation
Expected deliverable: All components and data ready — the final build starts on the last day.

Day 4 — tools: ChatGPT and Claude.

Topics covered

  • Claude Sales vs. assistant vs. system
  • A standardized sales process for a whole team
  • Building a workflow that connects every sales stage
  • Measuring the system’s impact on sales
  • Identifying which tasks to automate in your company
  • Common mistakes when building AI systems

Practical skills

System thinking
Expected deliverable: A clear map of the smart sales system you’ll build at the end of the day.

Day 4 — tools: NotebookLM, ChatGPT and Claude.

Topics covered

  • Connecting the knowledge base to your projects
  • Tuning the objection library to your products
  • Customizing lead scoring to your market
  • Setting communication messages in your company’s tone
  • Verification rules — when AI answers and when it holds back

Practical skills

System customization
Expected deliverable: Customization settings ready — turned into real components in the project.

Day 4 — live hands-on build: participants build alongside the trainer using the data they prepared. Tools: NotebookLM, ChatGPT / Claude and Google Sheets.

Topics covered

  • Creating the assistant and connecting knowledge sources
  • Setting up lead analysis and the customer profile
  • Enabling lead scoring and matching
  • Setting up communication and follow-up messages
  • Setting up objection handling and closing
  • Testing the system with real scenarios
  • Analyzing responses and improving results
  • Launching the final system

Practical skills

Building an AI assistant
Expected deliverable: A complete working AI Sales Assistant — built on your own projects and ready to use from the next day.
Tools and technologies

The tools we will use during the program

ChatGPT / Claude

Analysis and the AI Sales Assistant.

NotebookLM

Project and unit information.

Google Sheets / Excel

Lead and property data.

Canva / Gamma

Sales proposals and presentations.

Hands-on practice

Projects and practical work during the program

01
PROJECT

From Lead to Next Action

Day 1 output: take any lead and turn it into a clear sales plan.

Work scenario

A new lead with scattered data on WhatsApp, and it’s unclear whether they’re serious.

What you will build

Customer Profile → Lead Score → Sales Strategy → Next Action.

Final deliverable

A customer profile, a lead scoring framework and a tailored sales strategy.

Skills used

Lead analysisLead scoring

Tools

ChatGPTClaudeGoogle Sheets
02
PROJECT

Communication & Follow-up Workflow

Day 2 output: a complete workflow from preparation to follow-up.

Work scenario

A client said “too expensive” and “I’ll think about it” after a meeting and needs smart follow-up.

What you will build

Lead → Prepare → Communicate → Handle Objections → Follow-up → Next Action.

Final deliverable

A communication template library, an objection handling framework, a follow-up system and a meeting workflow.

Skills used

Sales communicationObjection handlingFollow-up

Tools

ChatGPTClaudeNotebookLMGoogle Sheets
03
PROJECT

My AI Real Estate Sales Assistant

Final project: the system that works with you from the next day — complete and connected.

Work scenario

Your company or team needs a smart sales system built on your projects and market.

What you will build

Lead → AI Lead Analysis → Customer Profile → Lead Scoring → Property Matching → Sales Strategy → Call / Meeting Prep → Objection Handling → Follow-up → Next Best Action.

Final deliverable

A complete working AI Sales Assistant built on your projects, ready to use from the next day.

Skills used

Knowledge baseProperty matchingAI assistant building

Tools

NotebookLMChatGPTClaudeGoogle SheetsCanva / Gamma

Selling is no longer an individual skill… it is an AI-powered system

Don’t just learn AI tools — build an AI-powered sales workflow for your real estate career. Four hands-on training days, the last one entirely dedicated to building an AI sales system that works for you from the next day.

Enroll in the Program