Stop Wasting Time on Low-Quality Tenant and Buyer Leads Prioritize High-Conversion Prospects with Custom AI Lead Scoring
In a market where 85% of commercial deals hinge on timely follow-up, our tailored systems boost conversion rates by up to 40%, slashing your team's chase time on dead-end inquiries.
Join 150+ businesses with 30% faster deal closures
The "Lead Overload" Problem
Overwhelmed by unqualified inquiries from platforms like LoopNet and CREXi, including tire kickers browsing Class A office listings without verified budgets
Agents wasting time pursuing retail tenant leads who inquire about flex industrial or office leases, mismatched to portfolio availability
Delayed responses to high-intent multifamily investor leads from sources like CoStar, buried under high-volume inquiries during market upswings
Inaccurate lead scoring overlooking high-net-worth industrial buyers with strong cap rates and acquisition histories from private equity firms
Fragmented data across broker platforms like MLS, CoStar, and internal CRMs causing lost opportunities on speculative warehouse deals in logistics hubs
Seasonal spikes in leasing inquiries overwhelming teams during Q4 peak for retail and office renewals, leading to missed NOI optimization
Your Custom-Built Lead Scoring Engine, Tailored to Commercial Real Estate
With over a decade architecting AI for property firms, we've streamlined lead pipelines for 50+ SMB brokerages, delivering enterprise-grade precision without the subscription bloat.
Why Choose Us
Generic lead tools treat every inquiry like a cookie-cutter listing. Not ours. We engineer a bespoke AI system that dissects your commercial portfolio—factoring in cap rates, square footage demands, and location preferences—to score leads with surgical accuracy. Built from the ground up for your workflow, it integrates directly with CoStar, LoopNet, and your internal CRM. No more one-size-fits-all guesswork. This is efficiency engineered for the deals that matter: those $5M+ transactions closing in under 90 days.
What Makes Us Different:
Unlock Deal-Closing Velocity with Precision Scoring
Focus Agents on High-Intent Prospects
Focus Agents on High-Intent Prospects: Our custom system flags leads with 75%+ conversion potential using behavioral signals like repeated views on LoopNet listings, site visit requests, and budget alignments with your cap rate thresholds, reducing chase time by 35% and boosting close rates on Class B office and strip mall retail spaces from 15% to 22% within six months.
Accelerate Time-to-Lease for Vacant Properties
Accelerate Time-to-Lease for Vacant Properties: By prioritizing inquiries that match your portfolio's vacancy profiles—such as 5,000 SF retail suites or 100,000 SF warehouse spaces—teams achieve 25% faster fills, reducing empty retail suites from 120 to 90 days on market while improving occupancy rates to exceed 95% benchmarks in competitive urban markets.
Eliminate Data Silos Across Broker Networks
Eliminate Data Silos Across Broker Networks: Our unified scoring integrates MLS feeds, CoStar analytics, and email trails from broker portals, ensuring no high-value industrial buyer with 7-figure acquisition power slips through, delivering 20% more qualified leads to top performers and increasing deal velocity for bulk warehouse portfolios by 15% annually.
What Clients Say
"Before AIQ, our team was buried under 200 weekly leads from LoopNet and CREXi, with half irrelevant to our industrial portfolio. Their custom scorer now ranks by tenant credit scores, space requirements, and cap rate compatibility—we closed three $2M industrial leases in Q2 alone, something we hadn't achieved since pre-pandemic markets."
Marcus Hale
Managing Director, Hale Industrial Properties, Chicago
"We specialize in multifamily acquisitions, but generic tools kept mixing up institutional investors with retail buyers. AIQ built us a system that scores based on our exact portfolio data, including unit counts and yield projections. Last quarter, it helped prioritize 15 high-value leads, landing a 50-unit deal in a transit-oriented development that boosted revenue by 28%. It's like having an extra underwriter on staff."
Elena Torres
VP of Investments, Urban Edge Realty Partners, Miami
"Chasing office leads was hit-or-miss with our old CRM flags on CoStar data. AIQ's tailored model integrated our full CoStar suite and cut noise by 60%, filtering for verified NNN lease seekers. We went from 10% conversion to 22% in four months, freeing up weekends for actual site visits to suburban flex spaces instead of cold calls."
Derek Lang
Senior Broker, Lang Commercial Realty Advisors, Atlanta
Simple 3-Step Process
Discovery and Data Mapping
We audit your current lead sources—CoStar inquiries, broker emails, website forms—and map them to your commercial portfolio for a foundation built on real deal history.
Model Training and Customization
Our engineers train the AI on your past transactions, tweaking algorithms to weigh factors like lease duration and buyer demographics unique to your market.
Deployment and Workflow Integration
We deploy the system with custom dashboards and API ties to your tools, then refine based on live feedback to ensure seamless adoption across your brokerage.
Why We're Different
What's Included
Common Questions
How does your lead scoring differ from standard CRM tools like Salesforce?
Unlike Salesforce's basic lead grading, which relies on static rules, our custom AI builds dynamic models trained on your commercial real estate data—think factoring in cap rates and lease terms specific to your portfolio. We've seen firms reduce false positives by 45%, focusing agents on prospects with genuine intent for properties like vacant warehouses or office towers. It's not plug-and-play; we tailor it to your workflow, integrating seamlessly without the bloat of add-on apps. This results in 30% faster deal cycles, as teams skip the low-hanging fruit and target high-value conversions.
What data sources do you use for commercial real estate lead scoring?
We pull from your core systems: MLS feeds for listing interactions, CoStar for market comps, and CRM data like past inquiries and email opens. Plus, we enrich with external signals such as buyer's LinkedIn activity or public filings on investment history. For a firm dealing in retail spaces, this might score a lead higher if they've viewed multiple strip mall listings. Security is paramount—we use encrypted APIs and comply with data regs. The outcome? Accurate predictions that align with your unique challenges, like seasonal vacancies, boosting overall pipeline efficiency by up to 40%.
How long does it take to implement a custom lead scoring system?
Typically 6-8 weeks from kickoff to live deployment, depending on your data complexity. We start with a two-week discovery to map your lead flows—say, from LoopNet forms to broker follow-ups. Then, 3-4 weeks for model building and testing on historical deals, ensuring it handles nuances like industrial tenant credit checks. Final integration and training take the rest. Firms often see quick wins post-launch, like 25% more qualified leads in the first month. It's phased to minimize disruption, so your team keeps closing deals uninterrupted.
Can this system handle high-volume leads during market peaks?
Absolutely—our architecture is built for scale, processing thousands of inquiries daily without lag, ideal for CRE peaks like Q4 leasing rushes. Using robust cloud frameworks, it auto-scales based on traffic, scoring leads in seconds via machine learning optimized for property-specific traits. One client, a mid-sized brokerage, handled a 300% spike in office inquiries during hybrid work shifts, maintaining 99% uptime and prioritizing 80 hot leads that led to four leases. No more dropped balls; it's efficiency engineered for your busiest seasons.
What metrics will I see improved after implementation?
Expect 35-50% reductions in time spent on unqualified leads, with conversion rates climbing 25-40% as agents focus on high-scoring prospects. Track metrics like lead-to-appointment ratios, average deal size (e.g., from $1M to $3M closes), and occupancy fill rates for vacant assets. Our dashboards provide real-time KPIs, such as score distribution by property type—retail vs. industrial. Backed by industry benchmarks, like NAR's 28% average CRE conversion, our clients often exceed that, turning more inquiries into signed LOIs within 60 days.
Is the system customizable for different commercial sectors?
Yes, we design it modularly for sectors like office, retail, industrial, or multifamily. For a retail-focused firm, we might emphasize foot traffic projections in scoring; for industrial, warehouse specs and logistics fit. It's all custom-coded to your needs, drawing from your data to weigh variables uniquely—perhaps prioritizing capex tolerance for investors. This flexibility ensures a perfect match, avoiding the pitfalls of generic tools. Clients report 30% better alignment, leading to faster tenant placements and higher NOI from optimized portfolios.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.