How Can Real Estate Investors and Brokers Use AI to Close More Deals Faster in 2025?

The commercial real estate industry is experiencing a technological revolution. Logan Freeman, investor and broker at Midwest Commercial Real Estate Advisors in Kansas City, recently joined The Real Estate Investing Club podcast to share his groundbreaking approach to using artificial intelligence in real estate investing and brokerage.

Quick Answer: Real estate investors and brokers can use AI tools like GenSpark, Gamma, and Intel CRE to compress weeks of research and analysis into 48 hours or less. By leveraging AI for market research, financial underwriting, presentation creation, and contract review, professionals are closing $2.8M+ deals 90% faster while eliminating full-time positions and saving over $75,000 annually in overhead costs.

What AI Tools Are Real Estate Professionals Using Right Now?

The AI toolkit for real estate has expanded far beyond basic ChatGPT prompts. Freeman uses a carefully curated stack of AI platforms that handle everything from market research to property valuations.

His primary tools include GenSpark (a super-agent that accesses multiple large language models), Gamma.app (for instant presentation creation), and Intel CRE (AI-powered underwriting software). These platforms work together to create what Freeman calls a “complete advisory system” rather than just information lookup.

Freeman explained his approach: “I don’t answer in adjectives. I answer in statistics. It’s data driven. It’s analytical. And here’s the timeline.” This methodology has helped him secure listings that would typically take weeks to prepare in just 35 minutes.

The strategic use of AI doesn’t replace expertise—it amplifies it. Freeman emphasized that investors must “augment the artificial intelligence with my experience to say, no, that’s wrong, that’s right, that’s not applicable, that works.”

How Does AI Research Transform Commercial Real Estate Analysis?

Traditional market research in commercial real estate consumed days or weeks of analyst time. AI has compressed this timeline to hours while improving accuracy and depth.

Freeman uses GenSpark to analyze municipal planning meetings, extract development pipeline data, and identify emerging market trends. In one example, he instructed the AI: “I’m interested in Overland Park, Kansas’ last five planning and zoning meetings. Go in, watch the videos, read the notes, and then send me a synopsis of the new projects happening on the multifamily side.”

This approach surfaces hyperlocal intelligence that competitors miss. The AI can penetrate paywalls, synthesize video content, and extract actionable insights from publicly available but difficult-to-process information sources.

The result? Investors gain information asymmetry in an age of information parity. While others rely on delayed <a href=”https://www.costar.com/” target=”_blank” rel=”noopener”>CoStar</a> reports or incomplete MLS data, AI-equipped professionals access real-time development intelligence.

What’s the Step-by-Step Process for AI-Powered Deal Analysis?

Freeman recently completed a complex townhome analysis that demonstrates the power of systematic AI implementation. A property owner reached out needing to determine whether to individually parcel 20 townhomes or sell as a portfolio.

The analysis process took just 48 hours instead of the typical week or more:

Step 1: Data Aggregation. Freeman gathered MLS comparables, Crexi data, and municipal records, then fed them into GenSpark with specific role-based prompts: “You are a professional commercial real estate appraiser and expert financial analyst.”

Step 2: Comparative Analysis. The AI identified comparable properties, applied adjustment factors (including an 8% reduction for properties lacking garages), and calculated per-unit valuations across multiple scenarios.

Step 3: Strategic Recommendation. GenSpark provided pricing for individual parcels ($150,000 each) versus portfolio sale (approximately $105,000 per unit at 7% cap rate), complete with timeline projections showing 56-day average absorption.

Step 4: Implementation Planning. The AI researched and ranked six HOA formation firms with contact information and pricing estimates, creating a complete action plan.

Freeman then used Gamma to transform this 27-page analysis into a client-ready presentation. The property owner approved moving forward with the $3 million opportunity immediately.

How Can Brokers Use AI to Win More Listings?

Speed and presentation quality have become competitive weapons in commercial real estate brokerage. Freeman’s AI implementation recently secured him a $2.8 million listing against multiple competing brokers.

The advantage? He delivered a complete broker opinion of value 35 minutes after receiving the property information. His competitors hadn’t even responded yet.

Freeman creates custom presentations using Gamma, which automatically generates professionally branded websites, flip books, and offering memorandums from his analysis. “I have eliminated a full position in my company because of gamma.app,” he noted. “It has saved me over $75,000.”

This isn’t about replacing human expertise with technology. It’s about using AI to eliminate bottlenecks and deliver higher-quality client experiences. The $100,000 commission from that rapid-response listing paid for years of AI subscription costs.

Modern commercial real estate investors should explore <a href=”https://www.crexi.com/” target=”_blank” rel=”noopener”>Crexi</a> and <a href=”https://www.loopnet.com/” target=”_blank” rel=”noopener”>LoopNet</a> alongside AI tools to create comprehensive market intelligence systems.

What Custom GPTs Should Real Estate Investors Create?

Freeman has developed a personal library of custom GPT assistants that function like a virtual advisory board. Each addresses a specific business function with specialized training.

His most-used custom GPTs include:

LinkedIn Content GPT: Trained on Justin Welsh’s high-performing posts to maintain consistent, engaging social media presence that attracts deals and builds authority.

Sales Guru GPT: Based on NEPQ (neuroemotional persuasive questioning) principles to refine sales conversations and objection handling.

Real Estate Law Advisor: Provides instant contract review and legal framework analysis, reducing attorney consultation time and costs.

Chris Voss Negotiation GPT: Applies “Never Split the Difference” principles to deal structuring, helping create win-win scenarios.

Align Goal Setting Guru: Implements 12-week year methodology for quarterly planning and execution tracking.

Creating custom GPTs requires initial time investment but pays dividends through consistent, expert-level guidance across all business functions. Freeman’s approach demonstrates how investors can build their own AI advisory team without hiring additional staff.

How Does AI Impact Underwriting and Financial Analysis?

Intel CRE has transformed Freeman’s approach to property underwriting. The platform combines traditional financial modeling with AI-powered automation and comparative analysis.

The system automatically maps rent rolls and financial statements, searches for relevant comparables, builds sensitivity analyses, and generates complete marketing packages. For properties with incomplete financial data, Intel CRE uses AI to apply industry rules of thumb and estimate expenses with remarkable accuracy.

This capability is particularly valuable for off-market deals where sellers lack professional financial statements. Freeman can quickly assess a mobile home park or small multifamily property even when historical financials are unavailable or unreliable.

The platform creates websites, offering memorandums, and flip books—all within the Intel CRE environment. This integration eliminates the traditional workflow of moving between Excel, PowerPoint, and design software.

Traditional <a href=”https://www.reonomy.com/” target=”_blank” rel=”noopener”>commercial real estate databases</a> still play a role, but AI-enhanced underwriting platforms are becoming essential for competitive investors.

What’s the Fastest Way to Get Started with AI in Real Estate?

Freeman’s advice for investors new to AI is straightforward: start with research and content creation, then gradually expand into more complex applications.

Begin by using AI for market research. Tools like Perplexity and GenSpark can answer questions about submarket demographics, development pipelines, and economic trends. This builds comfort with AI while delivering immediate value.

Next, implement AI for content creation and client communications. Use Gamma or similar tools to transform your property analyses into professional presentations. This creates visible differentiation from competitors still using manual PowerPoint design.

Freeman emphasized patience in the learning process: “Be quick, but don’t hurry.” He applied this John Wooden principle to his own AI adoption, methodically testing tools before committing to full implementation.

The key is consistent experimentation. Freeman reads extensively on LinkedIn, following thought leaders who share AI implementation strategies. This curated feed provides ongoing education without overwhelming information overload.

For real estate investors looking to expand beyond AI, exploring traditional strategies remains important. Understanding <a href=”https://www.therealestateinvestingclub.com/” target=”_blank” rel=”noopener”>multifamily investing fundamentals</a> provides the foundation that AI tools enhance rather than replace.

How Will AI Change Real Estate Investing in the Next 12 Months?

Freeman believes the real estate industry is moving from “information asymmetry” to “information overload.” The winners will be advisors who can cut through noise and create actionable insights.

AI enables this advisory role by processing vast amounts of data and presenting it in digestible formats. As Freeman put it: “We have to be advisors to be able to cut through the noise and figure out how to create actionable inferences off of this data.”

The competitive advantage is already shifting. Investors who adopt AI are completing analyses in hours that take their competitors days or weeks. They’re securing listings before others respond. They’re identifying opportunities in publicly available data that others can’t process quickly enough.

This doesn’t mean traditional skills become obsolete. Freeman’s success comes from combining 1,500+ closed units of experience with AI capabilities. The technology amplifies expertise—it doesn’t create it from nothing.

Looking ahead, Freeman predicts digital marketing firms and real estate brokerages will see the most dramatic AI impact. The ability to create custom marketing campaigns, instant property websites, and data-driven market reports gives early adopters an insurmountable advantage.

Investors should also stay informed about <a href=”https://www.biggerpockets.com/blog/ai-real-estate” target=”_blank” rel=”noopener”>emerging AI applications in real estate</a> as the technology continues evolving rapidly.

What Does Logan Freeman’s Real Estate Journey Teach About Adaptability?

Freeman’s path from NFL prospect to commercial real estate investor demonstrates the power of pivoting when circumstances change. After being cut from professional football, he lost 116 pounds in six months, earned his master’s degree, and started building his real estate career from scratch.

His early experience making 265 cold calls per day taught him persistence—a trait that served him well when later calling 2,500 companies to land three consulting clients. Freeman closed just three deals from that massive outreach, but those three were enough to launch his consulting business.

This willingness to embrace high-volume activity appears throughout his career. During COVID, Freeman added 1,500 multifamily units and 600,000 square feet of commercial space while competitors froze. He acted decisively when others hesitated.

Freeman’s athletic background instilled a relentless work ethic. He credited Tim Grover’s book “Relentless” as his most influential read, shaping how he approaches obstacles and maintains focus. The Kobe Bryant and Michael Jordan mindset permeates his business philosophy.

His advice to his younger self? “Be patient, man. You got to be quick, but you don’t hurry.” Freeman learned that building the right inner circle matters more than rushing to hit arbitrary milestones. “You can’t outperform your inner circle,” he noted, quoting Jim Rohn.

Final Thoughts: AI as a Force Multiplier in Real Estate

The commercial real estate investors who thrive in 2025 and beyond will be those who view AI as a force multiplier rather than a replacement for expertise. Freeman’s success demonstrates how strategic AI implementation transforms business operations without sacrificing the human judgment that makes great deals possible.

The technology enables faster analysis, better presentations, and more informed decision-making. But it requires upfront investment in learning, testing, and refinement. Investors must experiment with multiple tools, develop custom workflows, and continuously adapt as new capabilities emerge.

Freeman’s brokerage has proven the model works. By eliminating a $75,000 position, compressing analysis timelines by 90%, and winning listings against traditional competitors, his AI-first approach delivers measurable ROI.

The question isn’t whether to adopt AI in real estate investing—it’s how quickly you can implement it before competitors gain an insurmountable advantage.

Want to learn more about the REI Club Podcast? Click here: <a href=”https://www.therealestateinvestingclub.com” target=”_blank” rel=”noopener”>https://www.therealestateinvestingclub.com</a>

Want to grow your business with ads? Join our sister company here: <a href=”https://www.kaizenmarketingagency.com” target=”_blank” rel=”noopener”>https://www.kaizenmarketingagency.com</a>

Want to invest in Gabe’s next deal? Click here: <a href=”https://www.kaizenpropertiesusa.com” target=”_blank” rel=”noopener”>https://www.kaizenpropertiesusa.com</a>

Want to join our community of active investors? Click here: <a href=”https://linktr.ee/gabepetersen” target=”_blank” rel=”noopener”>https://linktr.ee/gabepetersen</a>