Stop Wasting Time on Low-Quality Property Leads Prioritize High-ROI Opportunities with Custom AI Lead Scoring
In a market where 85% of investor leads never convert, our tailored AI systems boost close rates by up to 3x, ensuring you focus on deals that build your portfolio.
Join 150+ businesses with 40% faster deal cycles
The "Lead Overload" Problem
Sifting through unqualified off-market leads from wholesalers, often inflated with properties exceeding 80% LTV ratios
Missing hidden gems in MLS data due to manual review bottlenecks, overlooking properties with ARV potential above $300K
Overpaying for leads that don't match your investment criteria like targeted 8-10% cap rates or 15%+ cash-on-cash returns
Struggling to prioritize distressed properties in competitive bidding wars, such as foreclosures or pre-foreclosure notices
Dealing with outdated lead data that leads to missed flip opportunities, like expired pre-foreclosure listings over 60 days old
Wasting acquisition team hours on low-equity deals that won't cash flow, such as properties with less than 20% equity position
Our Custom-Built Lead Scoring Solution for Real Estate Investors
With over a decade of experience architecting AI for property pros, we've helped investors like you reclaim 30+ hours weekly from lead chasing.
Why Choose Us
Generic lead scoring tools treat every property like a cookie-cutter listing—they ignore the nuances of your fix-and-flip strategy or rental portfolio goals. We build a bespoke AI model tailored to your exact workflow. It analyzes lead signals like property condition, seller motivation, location ROI, and market comps to assign precise scores. No more one-size-fits-all dashboards. This is enterprise-grade AI, coded from scratch to integrate with your MLS feeds, CRM, and even county records APIs. Result? You spot high-potential multifamily deals before competitors even blink.
What Makes Us Different:
Unlock Efficiency and ROI in Your Pipeline
3x Higher Conversion Rates
3x Higher Conversion Rates: Our AI identifies leads with 25%+ equity upside in single-family homes, cutting chase time by 40% on wholesaler pipelines. Investors report closing 15 more fix-and-flip deals annually without expanding their team—like turning a cluttered garage sale into a curated auction of prime lots with verified ARV projections.
20-30% Reduction in Acquisition Costs
20-30% Reduction in Acquisition Costs: By scoring out low-value leads early, you avoid due diligence on duds like overleveraged multifamily units. One client saved $150K yearly on bad flips, focusing only on properties hitting their 12% IRR benchmark in emerging markets. It's like having a seasoned broker filtering your MLS inbox 24/7 for cap rate alignment.
Scalable Pipeline for Portfolio Growth
Scalable Pipeline for Portfolio Growth: Handle 5x more leads without burnout, processing off-market and MLS sources seamlessly. The system flags emerging hot markets, like undervalued single-families in up-and-coming suburbs with rising rent comps, ensuring your growth isn't capped by manual reviews. Clients scale from 50 to 200 rental units yearly with ease, targeting 7-9% yields.
What Clients Say
"Before AIQ Labs, we were drowning in wholesaler lists—half the leads were overpriced rehabs that didn't fit our multifamily model, with ARVs inflated by 20%. Their custom scorer now ranks by ARV, repair costs, and cap rates; we closed three 12-unit multifamily deals in Q2 alone, adding $2M to our portfolio in just 6 months."
Marcus Hale
Founder & CEO, Hale Investments Group, specializing in value-add multifamily acquisitions
"I run a small flip operation, and generic tools missed the motivation signals on seller leads from probate sales. This system integrated our Zillow and MLS data and scored a distressed 5,000 sq ft commercial property we snagged for 30% under market via auction—flipped it in 90 days for a solid 18% IRR."
Elena Vargas
Principal & Lead Flipper, Vargas Property Ventures, focused on commercial rehabs in urban markets
"As a rental investor, timing is everything with tenant-ready units in rent-controlled zones. AIQ's lead scoring caught a undervalued 4-plex duplex in a rising suburb with strong comps; we acquired it last month for $450K and it's already cash flowing at 9% yield with 95% occupancy. Saved us weeks of cold calling expired listings."
Tyler Grant
Portfolio Manager, Grant Real Estate Partners, managing 150+ long-term rental units
Simple 3-Step Process
Discovery and Data Mapping
We audit your current lead sources—MLS, off-market networks, CRM—and map them to your investment criteria like target geographies and yield thresholds. This ensures the AI learns your unique deal patterns from day one.
Custom Model Development
Our engineers build and train the predictive scoring engine using your historical data. We incorporate real estate-specific factors like comps analysis and lien risks, testing against benchmarks to hit 90%+ accuracy before launch.
Seamless Integration and Launch
We deploy the system into your workflow with a unified dashboard, API hooks to your tools, and ongoing tweaks. You get full ownership—no subscriptions—and see scored leads flowing in real-time within two weeks.
Why We're Different
What's Included
Common Questions
How does your lead scoring differ from tools like Reonomy or PropStream?
Off-the-shelf platforms like Reonomy provide raw data dumps, but they don't tailor to your specific investor playbook—think generic filters versus AI that learns your flip margins or rental yields. We build a custom model ingesting your CRM history, MLS feeds, and even local comps to score leads on true conversion potential. For instance, it might prioritize a motivated seller in a gentrifying area with 20% equity, while deprioritizing stable rentals. This results in 2-3x better prioritization, saving hours on due diligence. Plus, full ownership means no recurring fees; it's your system, scaled to handle your volume without the limitations of shared databases.
What data sources does the system use for real estate leads?
We pull from premium sources tailored to investors: MLS listings via IDX integrations, off-market deals from wholesaler networks, public records for liens and ownership history, and enrichment APIs like CoreLogic for property valuations. Your internal data—past acquisitions, CRM notes—trains the model to recognize patterns, like high-ROI multifamily in secondary markets. It's not just volume; we focus on quality signals, such as days on market or distress indicators, ensuring scores reflect real opportunities. Setup involves secure API connections, with all data encrypted and compliant with real estate privacy standards.
How long does it take to implement custom lead scoring for my team?
From kickoff to live scoring, expect 4-6 weeks for a mid-sized investor operation. Week 1 is discovery: We map your workflow, from lead intake to underwriting. Weeks 2-3 involve model building and testing on sample data, iterating based on your feedback—like adjusting for your preferred 10%+ cap rate threshold. Integration and training follow in week 4, with a soft launch to monitor accuracy. Unlike plug-and-play tools that take days but lack depth, our custom approach ensures 85-90% precision from the start. Post-launch, we provide dashboards and support to refine as you acquire more properties.
Can this integrate with my existing real estate software stack?
Absolutely—our solutions are built for seamless compatibility. We connect directly to CRMs like Follow Up Boss or InvestorFuse, accounting tools like QuickBooks for financial overlays, and deal platforms like DealCheck for automated underwriting. For example, a scored lead auto-populates with comps and repair estimates, triggering workflows in your tools. No brittle middleware; we use robust, two-way APIs to keep data synced in real-time. If you're using niche investor software like REI BlackBook, we'll custom-code the bridge. This unified setup eliminates silos, giving your acquisition team a single view of high-potential deals across your entire pipeline.
What kind of accuracy can I expect, and how is it measured?
Our models achieve 85-95% accuracy in predicting conversions, benchmarked against your historical close rates and industry standards like the 15% average for investor leads. Accuracy is measured via metrics such as precision (correct high-score predictions) and recall (catching true opportunities), validated on holdout data sets. For real estate, this means correctly flagging 80% of deals with 15%+ IRR while minimizing false positives on low-equity properties. We start with baseline testing during development, then track live performance quarterly, adjusting for market shifts like inventory shortages. Clients typically see ROI within 3 months through faster closings and reduced chase costs.
Is the lead scoring system secure for sensitive property data?
Security is paramount in real estate, where deals involve financials and personal info. We use enterprise-grade encryption (AES-256) for all data in transit and at rest, with SOC 2 compliance and role-based access controls. Your leads—seller contacts, property appraisals—stay within your owned system, not shared servers. We conduct regular audits and support GDPR/HIPAA alignments if needed for larger portfolios. Unlike cloud-based tools with breach risks, our custom builds run on your infrastructure or secure AWS setups you control. This ensures confidentiality during bidding wars or when scoring high-value commercial assets.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.