There’s a new competitor entering your real estate market.
They don’t sleep. They don’t forget to follow up. They can analyze thousands of data points in seconds, create content while you’re showing houses, and prepare you for tomorrow’s appointments while you’re asleep.
That competitor is not AI. It’s the real estate agent who knows how to use AI better than you do.
That was one of the biggest themes that came out of my conversation with Suneet Agarwal on Founders Club.
Suneet has spent years building real estate businesses, teams, marketing systems, and technology. But what caught my attention in this conversation was how aggressively he’s integrating AI into the actual operation of his businesses.
We’re not talking about asking ChatGPT to rewrite a listing description.
We’re talking about AI agents, automated follow-up, CRM intelligence, content analysis, meeting preparation, specialized digital workers, and systems that operate around the clock.
If you’re an agent, broker, or team leader, there are some ideas here you should seriously consider implementing.
LISTEN TO THE FULL INTERVIEW HERE:
The Real Threat Isn’t AI Replacing Agents
Table of Contents
One of Suneet’s strongest comments during our conversation was about the next generation of entrepreneurs entering the market.
“There is some kid 18, 19 years old who’s been playing with AI since it first came out… they’re going to come into the market and freaking smoke you.”
That’s the part of the AI conversation I think a lot of real estate professionals are missing.
I’m not particularly worried about somebody waking up tomorrow and deciding they’d rather have a robot negotiate the sale of their house. Real estate is still an incredibly personal, relationship-driven business.
What I would be worried about is competing against an agent who has the relationship skills you have but is also using AI to operate 5, 10, or 100 times more efficiently.
Imagine an agent who gets automatically briefed before every appointment, knows exactly which leads in their database are becoming active, creates and tests content constantly, processes every meeting into actionable tasks, and has AI helping manage administrative work behind the scenes.
That agent still makes the phone call. They still shake the client’s hand. They still negotiate the deal.
They just have a much more powerful machine behind them.
Stop Using AI Like a Search Engine
A lot of agents tell me they’re already using AI. Then I ask how, and the answer is usually something like, “I use ChatGPT to write emails.”
There’s nothing wrong with that. But Suneet made an important distinction between chat-based AI and agentic AI.
Chat-based AI responds to a request. You ask for an email, caption, script, listing description, or idea, and it gives you something back.
Agentic AI moves toward actually completing work.
That could mean reviewing information from different systems, identifying something that requires attention, handing work to another specialized AI agent, updating a system, or preparing the next action for a human.
The shift is from asking AI questions to assigning AI responsibilities.
Suneet has created specialized AI agents for different functions within his businesses. Some focus on social media, while others specialize in systems like Follow Up Boss, GoHighLevel, Monday.com, operations, and technical work.
I like this concept because it’s actually very similar to building a real estate team.
You don’t hire one employee and tell them to be your ISA, transaction coordinator, marketing director, bookkeeper, recruiter, and operations manager. You create roles, responsibilities, and processes.
Why not start thinking about AI the same way?
Start With the Work You Already Hate Doing
You don’t need to build a sophisticated network of AI agents tomorrow.
In fact, I wouldn’t start there.
Start by looking at your business and asking where you’re wasting the most time. What are you or your team doing repeatedly that follows roughly the same process every time?
That could include:
- Lead follow-up and database organization
- Appointment preparation and meeting summaries
- Social media research and content analysis
- Email marketing and campaign analysis
- Listing marketing and administrative work
- Recruiting follow-up and agent communication
- Sales reporting and KPI analysis
- Transaction-related organization
- Past-client follow-up
- Internal task management
Now look at that list and ask: Which tasks require my expertise, personality, judgment, or relationship skills, and which tasks are simply consuming my time?
Start experimenting with the second category.
One of the simplest ideas from the episode is to have AI interview you about your business. Tell it how you spend your day, what your team does, where leads come from, how you follow up, what software you use, and where things tend to get stuck.
Then ask: “Based on everything I just told you, what are the top five things you could help me automate or improve?”
That exercise alone could uncover hours of wasted time every week.
Your CRM May Be More Valuable Than Your Next Lead Source
This was one of my favorite real estate applications from the conversation.
Suneet described a workflow involving GoHighLevel where AI looks for the most active leads and people exhibiting stronger buying signals. His system can compare information across databases and help surface people who deserve attention from the sales team.
Think about your own database.
Real estate agents are constantly looking for the next lead source while sitting on thousands of people they’ve already paid to acquire.
Your CRM could contain old internet leads, past clients, open-house visitors, potential sellers, buyer inquiries, investors, referrals, homeowners who requested valuations, and people who told you to call them back six months ago.
The problem isn’t always getting more names.
The problem is knowing who needs your attention today.
A practical first step is to start organizing your database around signals such as:
- Recent website or property-search activity
- Repeat email engagement
- New home valuation requests
- Old leads suddenly becoming active
- Multiple recent conversations
- Past clients showing signs of another move
- Long-term nurture leads reaching their expected timeframe
- Prospects engaging with specific listings or market information
You don’t necessarily need a fully autonomous AI agent to begin doing this.
Start by improving your CRM segmentation. Export appropriate data and use AI to analyze patterns where your platform rules and privacy requirements permit. Ask AI to help identify what behaviors might indicate higher intent, and then create a process for your team to prioritize those people.
Before spending another $10,000 generating leads, figure out whether there’s $100,000 in commissions hiding inside the database you already own.
38 Million Views: Use AI to Become a Better Marketer
Suneet shared that his content generated 38 million views in one month.
That’s a huge number, but I was actually more interested in the system behind it.
His philosophy comes back to a simple marketing concept:
“We know nothing. We test everything.”
Instead of deciding what he thinks should work, Suneet collects data on what actually works. He described maintaining historical information around his content, including post types, hooks, timing, and performance, and then using AI to help analyze that data and iterate on what’s currently performing.
That is the opposite of how most real estate agents approach social media.
Most agents post randomly. A Reel doesn’t perform, so they decide video doesn’t work. Then they post a market update, disappear for two weeks, and come back with a Just Listed graphic.
There’s no real feedback loop.
AI gives us an opportunity to change that.
Create a simple content tracker and record:
- Topic and opening hook
- Content format and platform
- Date and posting time
- Views and watch time
- Comments, shares, and saves
- Direct messages generated
- Leads and appointments generated
After you have enough information, give AI the data and start asking questions.
Which hooks consistently generate the most views? Which topics produce shares? What content generates actual leads instead of vanity metrics? Are there patterns in your highest-performing videos? What should you create more of next month?
AI becomes much more powerful when you give it your data instead of asking it to guess what your audience wants.
The Same Strategy Can Transform Your Email Marketing
Suneet said his email open rates were around 70% at the time of our conversation.
Again, the important part isn’t simply asking AI to write more emails. Suneet has historical emails available for analysis, allowing AI to look for patterns across what has already performed.
That’s something almost any real estate team could start doing.
Take your best-performing emails and analyze:
- Subject lines
- Opening sentences
- Length and structure
- Tone and writing style
- Topics and offers
- Calls to action
- Send timing
- Open and response rates
Then ask AI to identify common patterns.
Instead of prompting, “Write me a great seller email,” you can say, “Here are my 20 highest-performing seller emails. Identify what they have in common and help me create five new emails using those principles.”
Now you’re using AI to learn from your audience instead of relying on generic marketing advice.
Start Every Morning With an AI Briefing
Another workflow Suneet shared was his daily briefing.
Every morning, he receives a Telegram message containing information about his upcoming day. His system can incorporate calendar information, notes, and relevant emails so he has context before his meetings.
For a real estate professional, imagine opening your phone each morning and seeing one organized briefing containing:
- Today’s appointments and client meetings
- Relevant notes from previous conversations
- Important recent emails
- Follow-ups that need attention
- Listing or buyer activity requiring action
- Deals approaching important deadlines
- Team meetings and commitments
- Yesterday’s important business metrics
Now imagine getting a condensed briefing before every listing appointment.
Who is the seller? What have you discussed previously? What are their biggest concerns? What is their motivation? What promises did you make on the last call? What information do you still need?
You still deliver the presentation and build the relationship. AI simply helps make sure you walk into the room prepared.
That’s the kind of automation I love because it doesn’t remove the human element. It actually gives you more time and information to be better at the human element.
Turn Every Meeting Into Action
Suneet also described how he uses transcripts from consulting and coaching calls.
Instead of allowing a transcript to disappear into a folder, AI helps turn the conversation into actionable information. It can organize notes for the next meeting, create follow-up communication, identify action items, and flag issues that other people may need to address.
He said this automation ultimately handled work that had previously been performed by his VA/EA.
For brokers and team leaders, there are tons of applications here.
Your weekly sales meeting could automatically produce:
- A concise meeting summary
- Each agent’s commitments
- Tasks, owners, and deadlines
- Coaching opportunities
- Follow-up communication
- Problems requiring leadership attention
- Topics for the next meeting
You could apply the same system to recruiting calls, listing appointments, coaching sessions, leadership meetings, vendor conversations, and transaction discussions.
The point is simple: valuable information shouldn’t disappear the moment a conversation ends.
Build an AI Brain for Your Brokerage
One of the more advanced concepts we discussed was Suneet’s “AI brain.”
As you start using AI more frequently, context becomes incredibly important. You don’t want to repeatedly explain how your company operates, how your brand communicates, what decisions have already been made, or how a specific process works.
Suneet has experimented with Notion, Monday.com, and Obsidian as ways to organize information that AI can reference.
For a real estate team, that knowledge base might eventually include:
- Listing and buyer procedures
- Lead-routing rules and follow-up plans
- Scripts and objection handlers
- Recruiting and onboarding processes
- Brand and marketing guidelines
- Vendor and partner information
- Training materials and team policies
- Successful campaigns and templates
- Important leadership decisions
- Standard operating procedures
Most brokerages already have this information. It’s just scattered across Google Drive, Slack, emails, PDFs, videos, desktops, and the team leader’s head.
Before you build smarter AI, build a better-organized business.
Automate Aggressively, But Keep Guardrails
There is one important warning here.
Giving AI more capabilities also creates more risk.
Suneet talked about creating guardrails around his systems, including requiring explicit approval before certain communications are sent. That’s especially important in real estate, where we’re dealing with customer information, contracts, advertising rules, financial details, and major transactions.
A few principles I’d follow:
- Start with lower-risk and read-only applications
- Require human approval for important external communications
- Test workflows before deploying them across the company
- Protect client and company information
- Monitor technology usage and costs
- Create explicit rules around what AI cannot do
- Keep qualified humans responsible for high-risk decisions
Automation should create leverage without sacrificing judgment.
Your 30-Day AI Real Estate Challenge
If you’re excited about this stuff but don’t know where to begin, don’t try to recreate Suneet’s entire technology stack.
Give yourself 30 days and implement four things.
- Week One: Audit your time. Identify the five repetitive activities consuming the most hours across your business.
- Week Two: Organize your knowledge. Start centralizing your scripts, SOPs, marketing materials, training, and processes.
- Week Three: Analyze your database and marketing. Look for opportunities inside your CRM and patterns across your highest-performing content and emails.
- Week Four: Automate one workflow. Pick one repetitive process and build an AI-assisted system around it.
At the end of 30 days, measure the result.
Did you save time? Did agents follow up faster? Did content improve? Did you identify opportunities you would have otherwise missed?
Then repeat the process.
That’s how this advantage compounds.
The Future Agent Is Human, With Superpowers
My biggest takeaway from this conversation isn’t that AI is going to eliminate real estate agents.
It’s that AI could dramatically increase what one great real estate agent is capable of accomplishing.
Relationships still matter. Trust matters. Negotiation matters. Local knowledge matters. Being able to sit across from a homeowner during a difficult decision matters.
But imagine combining those human abilities with technology that constantly organizes information, analyzes opportunities, prepares you for meetings, studies your marketing, prioritizes leads, and eliminates repetitive work.
That’s a dangerous combination.
The winners won’t necessarily be the people who become the biggest AI nerds.
They’ll be the agents, brokers, and team leaders who identify real business problems and consistently use AI to solve them.
As Suneet said during the episode, you need to know enough to be dangerous.
Start experimenting. Test something. Measure it. Keep what works and eliminate what doesn’t.
Because while everyone else is debating whether AI matters, somebody in your market is already figuring out how to use it to sell more real estate.
Want to Build Your Real Estate Business With Us?
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We’re focused on helping agents build scalable businesses using better systems, marketing, technology, training, strategies, and support.
Ready to see if our team is the right fit for you?
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And check out the full Founders Club interview with Suneet Agarwal for our complete conversation about AI agents, real estate automation, marketing, lead generation, and how technology is changing the way top real estate professionals operate.



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