Podcast Summary: The Millionaire Real Estate Agent | The MREA Podcast

Episode 105: Stop Guessing, Start Doing – Day-to-Day AI for Agents With Lauren Lucas
Host: Jason Abrams
Guest: Lauren Lucas
Date: October 20, 2025

Episode Overview

This episode dives deep into the practical day-to-day use of artificial intelligence (AI) for real estate agents. Host Jason Abrams interviews high-performer Lauren Lucas, who has transformed her business—achieving a 37% increase in profit margins and automating 75% of her workflow—by integrating AI into every facet of her operation. Lauren demystifies AI for agents, explaining step by step how anyone, regardless of tech background, can leverage AI for lead generation, follow-up, automating authority, social media, and more. The conversation is candid, energizing, and packed with actionable advice, real-life examples, and memorable moments.

Key Discussion Points & Insights

1. Embracing AI: Mindset and Motivation

• Host’s Opening Context: The industry is “groundbreaking” right now, and AI is “the most powerful topic in our industry today.” Jason Abrams emphasizes:

  “Your clients are already using AI and the truth is they expect you to be there.” (01:08)

• Many agents are apprehensive about AI, feeling they're "not a tech person". Jason reframes this, arguing that if you use a washing machine or a cell phone, “you’re a tech person. You just like to use tech you understand.” (02:05)
• Over the next three weeks, the podcast will feature an AI series to arm agents to compete in this new world.

2. Lauren Lucas’ Journey Into Real Estate and to AI

• Background Story: Lauren started in real estate after an unhelpful first home-buying experience. She moved from government work (Ohio Department of Public Safety) to bartending, then found her path into Keller Williams via a Craigslist ad.

  “If I am getting paid $16 an hour to be told to slow down, what more could I do with my life?” (06:14)

• Her early success stemmed from being the first in her peer group to buy a house and quickly built business through referrals.

3. The Power of Coaching and Team Growth

• Productivity Coach Explained: Lauren attributes her early success largely to the support of a productivity coach and veteran agents who mentored her.

  “If you ask me… would I have been that successful… without that productivity coach and those two veteran agents… absolutely not.” (09:05)

4. Facing Team Setbacks and Discovering AI

• Lauren faced a significant drop in her team size (from 7 to 3 agents)—a catalyst for seeking new solutions.

  “Almost overnight… we went from seven agents to three.” (10:46)

• With 85% referral-based business, she needed bandwidth: “I really started to dive into how can I take some of this work off of us.” (10:54)
• Lauren skeptically began testing AI, self-taught through YouTube.

5. Nuts & Bolts: Lauren’s AI Automation Framework

a. Step 1: Identify Business Bottlenecks

• Lauren mapped all processes and systems into ChatGPT, using voice dictation.

  “For me… it was me and a microphone talking to ChatGPT. Exactly what we do, step by step.” (13:32)

  • Jason clarifies: the key is identifying yourself, your role, and your business problem to the AI (“naming a persona”). (14:08)
• The breakthrough: letting AI ask clarifying questions after every prompt.

  “At the end of every prompt you give it, allow it to ask you clarifying questions… question one and I respond, it’s then analyzing that answer before it asks me question two…” (14:43)

b. Step 2: Plug In AI for Heavy Lifting

• AI found holes in their systems that Lauren didn’t see.

  “[AI] found holes that I didn’t even realize we had... There was a lot of information that I was just like, wow, I never thought of that.” (15:54–16:45)

• Example: Previously, they’d screenshot new leads and text them to agents—an easy spot for leads to fall through the cracks. AI automated this, entering leads into the CRM and assigning agents instantly.

  “I was the bottleneck.” (17:26)

c. Step 3: AI-Driven Lead Generation and Ideal Client Profiling

• Lauren used AI to analyze her own social profiles to see if she was speaking directly to her target audience.

  “There’s a big difference between me producing content I think my client wants… versus me using AI to figure out what those pain points are…” (18:46)

• The goal: Personalized communication—“If we’re talking to everybody, we’re not talking to anybody.” (19:14)

d. Step 4: Lead Follow-Up and Nurturing

• Upon lead entry, ChatGPT (embedded in their Go High Level CRM) initiates compliance-checked, role-trained automated conversations.
  • “A chatbot basically is an extension of your team trained on your brand, your voice, your FAQ, and just becomes an extension… answering the consumer in a much faster pace than a human being could.” (20:24–20:59)

e. Step 5: Supercharging Google Reviews

• AI automation requests reviews with targeted keywords, then analyzes and responds to reviews to boost SEO.

  “It drives up our rankings on Google… we’re both using the same keywords, which allows our SEO to be higher.” (21:23–22:18)

f. Step 6: Social Media Chatbots & Authority Automation

• Using ManyChat, Lauren sets up bots to watch for trigger words (e.g., “buyer”) in comments, then automatically directs leads to value assets (like guides).
  • “All I’m doing is posting… putting a trigger word… and then the bot’s doing all of the delivery for me.” (24:47)

g. Step 7: Building Funnels & Custom Solutions

• Two funnels: one for past clients, one for homeowners “stuck” in low interest rates, featuring AI-built calculators (no coding experience required).
  • How? Use AI Studio to “talk” through what you want, and the AI generates the app/calculator for you.

  “I have no idea how to code. I just told it what I wanted… it will code the entire thing for you in about five minutes…” (28:23–29:01)

Notable Quotes & Memorable Moments

• On overcoming tech fear:

  “Unless you take your clothes down to the stream and beat them clean, you’re a tech person… You just like to use tech you understand…”
  (Jason Abrams, 02:05)

• On letting AI help:

  “If you can utilize Google, you can absolutely utilize AI… If you were to hire a human being, who would that be?…Talk to AI the same way.”
  (Lauren Lucas, 29:39–30:41)

• On bringing family along:

  “…My 10-year-old… we actually built his own game over the summer… AI coded all of it. I have no idea how to code.”
  (Lauren Lucas, 33:21)

• Jason’s admiration:

  “I think you’re onto something. You’re my hero, if I’m completely honest… Part of your genius is you just started, you had no idea, but you’ve managed to figure it out so quickly.”
  (Jason Abrams, 31:20)

Key Timestamps

• 00:00 – 04:38: Jason’s AI introduction, context-setting for agents
• 05:08 – 08:49: Lauren’s origin story and pivotal career shifts
• 09:39 – 12:30: Team contraction and first encounters with AI
• 13:17 – 15:47: Step-by-step walkthrough: feeding processes into ChatGPT and the art of prompting
• 17:04 – 18:28: Real-world examples: identifying bottlenecks and automating lead creation/assignment
• 19:28 – 22:18: Social media, follow-up automation, and optimizing Google reviews/SEO
• 24:47 – 26:53: Social media chatbots (ManyChat) in action
• 28:23 – 29:11: Building custom AI solutions with Google AI Studio (no coding required)
• 29:33 – 31:10: Calming AI fears, practical “just start” advice
• 33:21 – 33:56: Teaching kids about AI—Lauren’s family stories

Final Takeaways

• You don’t have to be a tech expert or coder to start integrating AI.
• Start simple: Map your processes, describe your problems, and ask AI for help as if you were onboarding a new hire.
• Automation is about removing bottlenecks, improving speed to lead, and expanding your client reach—without sacrificing relationship or authenticity.
• The future belongs to agents who leverage AI to work smarter, not harder.

Connect with Lauren Lucas

• Instagram: @laurenlucas_re
• DM for more advice, resources, or to catch her on the AI speaking circuit.

Host’s Closing Challenge

“AI is not coming for your job, but it is coming for your busy work. At the end of the day... agents that embrace AI will outperform those who don’t.”
(Jason Abrams, 34:30)

Jump in—the water’s fine. Start talking to AI and discover just how much it can do for you and your real estate business.