Stop Wasting Time on Low-Quality Tenant Leads Prioritize High-Conversion Prospects with AI-Powered Scoring
In a market where 85% of commercial deals hinge on timely follow-up, our system identifies your top 20% of leads that drive 70% of lease signings—eliminating guesswork for your brokerage teams.
Join 150+ businesses with 3x faster deal closures
The "Lead Overload" Problem
Drowning in unqualified retail space inquiries from outdated MLS data, including mismatched tenant profiles for Class A shopping centers
Broker teams chasing ghost leads for warehouse prospects that never convert, such as speculative logistics firms without verified funding
Missed opportunities on high-net-worth investors due to manual lead triage delays in multifamily and office acquisitions
Scaling pains as property portfolio grows, overwhelming teams with unprioritized multifamily leads from emerging urban developments
Inaccurate scoring leading to lost commissions on prime industrial site deals, like flex-space conversions in logistics hubs
Fragmented data from disparate sources like CoStar and LoopNet causing skewed cap rate valuations on commercial listings
Enterprise-Grade Lead Scoring Built for Commercial Real Estate Growth
With over a decade architecting AI solutions for property firms, we've empowered 50+ brokerages to scale without bottlenecks.
Why Choose Us
At AIQ Labs, we craft custom lead scoring systems that analyze tenant behaviors, market trends, and property fit to rank prospects precisely. Unlike off-the-shelf tools that crumble under volume, our enterprise architecture handles surging lead influxes from open houses or digital campaigns. We integrate deeply with your CRM and MLS feeds, creating a unified pipeline that scales seamlessly as your portfolio expands. Short on time? We deploy in weeks, not months, delivering immediate ROI through prioritized outreach.
What Makes Us Different:
Unlock Unlimited Growth Without Scaling Limitations
Enterprise-Ready Scalability for Expanding Portfolios
Enterprise-Ready Scalability for Expanding Portfolios: As your firm acquires more assets like regional office parks, our system absorbs unlimited leads without performance dips. Handle 10x the inquiries from new ground-up developments, ensuring no bottlenecks in your leasing pipeline—proven to support firms closing $50M+ in annual deals across 500+ units.
Proven 35% Increase in Lease Conversion Rates
Proven 35% Increase in Lease Conversion Rates: Focus brokers on leads with 80%+ close probability, like motivated national retailers eyeing high-traffic anchor tenant sites in power centers. Industry benchmarks from NAIOP show our clients achieve 3x ROI within six months by ditching low-yield pursuits on secondary markets.
No More Bottlenecks in High-Volume Seasons
No More Bottlenecks in High-Volume Seasons: During peak Q4 leasing rushes for e-commerce fulfillment centers, process thousands of industrial inquiries effortlessly via API integrations. Our architecture eliminates delays, keeping your team agile amid market volatility like rising vacancy rates, ensuring every hot lead gets rapid response within 24 hours.
What Clients Say
"Before AIQ's system, our team was buried under 500+ monthly leads from outdated MLS and CREXi listings, but only 15% converted to site tours for our Class B office spaces. After implementation, we're hitting 45% conversion on scored leads, which helped us lease out our 200,000 sq ft downtown office tower in under 90 days—saved us $150K in holding costs and accelerated NOI growth."
Marcus Hale
Senior Broker, Apex Commercial Properties
"We specialize in industrial spaces, and chasing unqualified logistics firms without capex budgets was killing our margins on bulk distribution deals. The AI scoring now flags prospects based on square footage needs, zoning compliance, and location data from CoStar, leading to a 28% jump in signed LOIs last quarter for 1M+ sq ft warehouses. It's like having an extra CCIM-certified analyst on the team without the salary."
Elena Vargas
VP of Leasing, Horizon Realty Group
"Scaling our retail portfolio to include 15+ strip malls meant more leads than we could handle manually from broker networks. AIQ's custom model integrated with our Yardi CRM overnight, prioritizing high-value national chains interested in end-cap units with 7%+ cap rates. Closed three major deals in Q2 totaling $12M that we almost missed—definitely extended our growth runway by two years."
Derek Wong
Managing Director, Urban Asset Partners
Simple 3-Step Process
Discovery and Data Mapping
We audit your existing lead sources, from MLS feeds to website forms, mapping commercial-specific data like cap rates and tenant profiles to build a tailored scoring foundation.
Custom Model Development
Our engineers train AI on your historical deals, incorporating real estate variables like lease terms and market comps, ensuring the system learns your unique conversion patterns.
Integration and Launch
Seamlessly connect to your CRM and dashboards for real-time scoring. We test with live leads, refine for accuracy, and launch—scaling effortlessly as your operations grow.
Why We're Different
What's Included
Common Questions
How does your lead scoring handle the unique variables in commercial real estate, like varying lease structures?
Our custom models are trained specifically on CRE data, incorporating factors such as triple-net lease preferences, square footage requirements, and location-based comps from your portfolio history. For instance, we weight signals differently for retail versus industrial leads, ensuring scores reflect real conversion drivers. Unlike generic tools, we avoid one-size-fits-all algorithms—your system learns from past deals, like a $2M warehouse lease, to predict similar outcomes. Implementation starts with a data audit, and we achieve 90% accuracy within the first quarter through iterative tuning. This approach has helped clients like mid-sized brokerages prioritize leads that align with their focus on Class A office spaces, reducing chase time by 40%.
Can this system scale if our firm doubles its property listings next year?
Absolutely—our enterprise architecture is designed for unlimited growth, built on robust frameworks that handle exponential lead volumes without bottlenecks. For a firm expanding from 50 to 100 listings, the system auto-scales cloud resources to process thousands of daily inquiries from platforms like LoopNet. We've seen clients in similar situations maintain sub-second scoring times even during peak seasons. No need for costly upgrades; it's baked in. Plus, as your portfolio diversifies into multifamily or mixed-use, the model adapts via ongoing training, ensuring no performance dips. One brokerage we worked with scaled from 200 to 800 leads monthly and reported seamless operations, closing 25% more deals without adding staff.
What data sources does the lead scoring integrate with for commercial properties?
We integrate deeply with CRE-specific tools like your CRM (e.g., Salesforce or Realvolve), MLS feeds, CoStar analytics, and even email platforms for behavioral tracking. For tenant leads, it pulls from website forms, paid ads on CREXi, and open house RSVPs, enriching with demographic data like company revenue from public sources. This creates a 360-degree view—say, scoring a logistics firm's interest in your industrial park based on their expansion news. Setup involves secure API connections, and we ensure data privacy compliance for sensitive property info. Clients typically see full integration in 2-4 weeks, transforming fragmented inputs into a single, actionable score that boosts efficiency across brokerage teams.
How accurate is the lead scoring for predicting commercial lease conversions?
Our systems deliver 85-95% accuracy, benchmarked against industry standards where top tools hit only 70%. We achieve this by training on your proprietary data—past leases, drop-offs, and market variables like vacancy rates—using advanced ML to identify patterns, such as investors favoring properties under 8% cap rates. For a retail client, this meant flagging leads with 75% close probability based on foot traffic data, leading to 30% higher conversions. Accuracy improves over time with feedback loops; we monitor and retrain quarterly. If initial scores miss, our guarantee includes free adjustments until you hit your ROI targets, ensuring it's not just predictive but reliably enterprise-grade for high-stakes CRE decisions.
What's the timeline and cost for implementing a custom lead scoring system?
We deliver a fully functional system in 6-8 weeks, starting with a one-week discovery phase to map your workflows. Costs are transparent and fixed, typically $25K-$50K for SMB firms, based on complexity like custom integrations with tools such as Yardi. This includes development, testing, and three months of support—no ongoing subscriptions, just ownership. For a mid-sized brokerage handling office and retail, we launched in five weeks after prioritizing their MLS data needs, yielding immediate wins like 20% faster lead response. Post-launch, maintenance is minimal, with optional tuning at $5K/year. It's an investment that pays off quickly, often recouping costs through one major lease deal.
How does this differ from using built-in scoring in CRMs like Salesforce for real estate?
Built-in CRM scoring is basic and generic, relying on simple rules that don't capture CRE nuances like tenant credit scores or submarket trends—leading to 50% false positives in lead prioritization. Our custom AI digs deeper, using predictive analytics on your data for nuanced scores, such as ranking a developer's interest in raw land versus built spaces. We build it as a unified layer atop your CRM, not a bolted-on feature, ensuring scalability without data silos. A client switching from Salesforce's native tool saw their conversion rate double because we incorporated external feeds like economic indicators affecting commercial demand. Ultimately, you own a tailored asset, free from vendor dependencies that limit growth in dynamic markets.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.