For Real Estate Agencies Juggling High-Volume Leads

Stop Wasting Time on Low-Quality Prospects Prioritize Hot Leads That Close Deals

In the fast-paced real estate market, agencies lose $150K+ annually chasing unqualified leads. Our custom lead scoring system boosts conversion rates by 35% on average, turning your MLS data into a revenue machine.

Join 250+ businesses with 40% higher close rates

Score leads in real-time from MLS and CRM integrations
Focus agents on prospects ready to tour properties
Increase deal velocity by 25% with predictive insights

The "Lead Overload" Problem

Agents overwhelmed by unqualified inquiries from Zillow Premier Agent and Realtor.com leads, with 70% being tire-kickers viewing single-family homes without financing pre-approval

Manual triage of leads from Zillow and Realtor.com overwhelming small teams, requiring 10+ hours weekly to sort through MLS-linked inquiries for condos and townhomes

Inaccurate scoring missing high-intent buyers in competitive markets, such as overlooking prospects searching for luxury waterfront properties or multi-unit investments

Delayed follow-ups on hot leads due to scattered CRM data, like unintegrated notes from ShowingTime appointments and virtual tour requests

Wasted ad spend on low-conversion traffic from property portals, with PPC campaigns on Redfin yielding only 5% qualified leads for fixer-upper flips

Struggling to differentiate serious investors from casual browsers, such as 1031 exchange seekers versus weekend open house visitors

Our Tailored Lead Scoring Solution for Your Agency

With over a decade of building AI systems for property firms, we've helped agencies like yours reclaim 30+ hours weekly from lead chaos.

Why Choose Us

Generic scoring tools treat every lead like a cookie-cutter listing. Not us. We craft a bespoke AI model that dissects your unique data— from viewing histories on IDX sites to engagement with virtual tours. It's like having a master appraiser for every prospect, valuing their intent against your market's pulse. Flexible and scalable, it adapts as your portfolio grows, ensuring enterprise-grade precision without the bloat.

What Makes Us Different:

Integrate seamlessly with your MLS feeds and CRM for instant scoring
Train the model on your historical closes to predict future winners
Deliver scores via custom dashboard, alerting agents to urgent opportunities

Unlock Efficiency and Revenue in Your Workflow

Skyrocket Conversion Rates

Skyrocket Conversion Rates: Our custom system identifies leads with 3x higher close probability, based on benchmarks from 50+ agencies handling residential and commercial listings. Agents focus on in-person tours and contract negotiations, not sifting through noise—resulting in 35% more signed exclusive buyer agency agreements annually.

Slash Time to Close

Slash Time to Close: Reduce lead-to-offer cycles from weeks to days for single-family and multifamily deals. By prioritizing prospects who've viewed multiple comparable sales (comps) or inquired about mortgage pre-approvals, your team accelerates closings in hot markets, boosting average commission per transaction by 22% through faster escrow processes.

Optimize Marketing ROI

Optimize Marketing ROI: Stop burning budget on cold traffic from portals like Trulia. The AI refines targeting for PPC campaigns on property sites, cutting unqualified leads by 50%—such as filtering out non-financed inquiries—and lifting overall ROI to industry-leading 4:1 ratios for sustained growth in luxury and investment segments.

What Clients Say

"Before AIQ Labs, our agents were buried under 200 daily leads from Zillow Premier Agent forms, closing only 12% on urban multifamily units. After implementing their custom scoring tailored to our MLS data, we're hitting 28% conversions and saving 15 hours a week per rep on lead qualification. It's transformed how we handle investor inquiries for apartment buildings."

Sarah Jenkins

Principal Broker, Urban Properties Realty, specializing in multifamily acquisitions in Chicago

"We struggled differentiating flippers from first-time buyers in a volatile Florida market. Their system scores based on our local comps and 1031 exchange signals, and we've closed $2.3M more in single-family rehabs over the last quarter. No more guesswork—just targeted outreach to high-intent investors."

Mike Rivera

Managing Partner, Coastal Investments Group, focused on residential flips in Miami-Dade County

"Integrated seamlessly with our Dotloop for transaction management and KW Command CRM. Leads from open houses and virtual tours on RPR now get instant scores based on buyer intent metrics, helping us prioritize follow-ups on luxury condos. Team morale is up, and we're on track for our best year since 2019 with 40% more closings."

Lisa Chen

Owner and Designated Broker, Summit Real Estate Partners, serving high-end properties in Seattle

Simple 3-Step Process

Step 1

Discovery and Data Audit

We dive into your MLS, CRM, and lead sources to map your exact workflow. This uncovers hidden patterns, like which property views signal buyer intent, setting the foundation for a model built around your agency's rhythm.

Step 2

Custom Model Development

Our engineers build and train the AI using your historical data—fine-tuning for local market nuances, such as neighborhood trends or financing behaviors. It's iterative, ensuring the system evolves with your business.

Step 3

Integration and Launch

We deploy via a unified dashboard, connecting to your tools for real-time scoring. Training your team takes just one session, with ongoing tweaks to maintain peak performance as listings fluctuate.

Why We're Different

We build from scratch, not bolt-on templates, ensuring the scoring aligns perfectly with your agency's property types and client personas—unlike off-the-shelf tools that force-fit generic algorithms.
True ownership means no recurring subscriptions; you own the code, scaling it as your portfolio expands without vendor lock-in.
Deep integrations with real estate specifics like MLS APIs and virtual tour analytics provide accuracy that assemblers can't match with superficial connections.
Our predictive models incorporate local market volatility, like interest rate shifts, for forecasts 40% more reliable than standard platforms.
We prioritize data security for sensitive client info, with compliance built-in for REALTOR standards—going beyond basic GDPR checkboxes.
Iterative refinement post-launch adapts to seasonal trends, such as spring buying surges, keeping your edge sharp year-round.
Focus on SMB agencies means we understand bootstrap budgets, delivering enterprise results without big-agency prices.
In-house expertise from deploying similar systems in property tech proves our track record, not just promises.
Unified interface eliminates juggling apps, creating a single pane for lead insights that boosts agent productivity immediately.
Proven 35% uplift in closes comes from custom tuning, not averages—tailored to your close rates and objection patterns.

What's Included

Real-time lead scoring from MLS inquiries and website behaviors
Predictive analytics on buyer intent based on property search history
Custom thresholds for hot, warm, and cold leads tailored to your market
Integration with CRMs like Follow Up Boss or Lone Wolf for seamless workflows
Automated alerts for high-value prospects, like cash buyers eyeing foreclosures
Demographic enrichment pulling from public records for investor profiling
Performance dashboards tracking score accuracy against actual closes
A/B testing module to refine scoring rules based on campaign outcomes
Mobile app notifications for on-the-go agents during open houses
Historical data training to benchmark against your past 24 months of deals
Exportable reports for compliance and team performance reviews
Scalable architecture handling 10,000+ leads monthly without slowdowns

Common Questions

How does your lead scoring differ from tools like HubSpot for real estate?

Unlike HubSpot's broad, one-size-fits-all approach, our custom system is engineered specifically for real estate workflows. We train the AI on your MLS data, virtual tour engagements, and local comps to score leads with 35% higher precision. For instance, it flags a lead viewing luxury condos in Miami as high-intent if they've saved multiple listings—nuances generic tools miss. This results in agents focusing on prospects 2x more likely to schedule showings, saving hours on cold calls. We own the build, so it's flexible to your CRM and scales without extra fees, avoiding the subscription traps that bog down agencies.

What data sources do you use for accurate real estate lead scoring?

We pull from your core systems: MLS feeds for property searches, CRM records for past interactions, and website analytics for behaviors like saved searches or calculator usage. We also enrich with external signals, such as credit pre-qual status or public records on investment history, all while ensuring REALTOR compliance. This holistic view—like analyzing a property's full comp sheet—creates scores that predict closes better than isolated metrics. Agencies see a 25% drop in false positives within the first month, as the model learns from your unique pipeline of residential vs. commercial leads.

How long does it take to implement custom lead scoring for my agency?

From initial audit to live deployment, it's typically 4-6 weeks for most SMB agencies. Week one: We map your data flows and interview your team on pain points, like triaging open house sign-ins. Weeks two to four: Build and train the model using your historical closes. Final weeks: Integrate with your tools and run tests on live leads. Post-launch, we monitor for two weeks to tweak accuracy. This phased approach minimizes disruption, unlike rushed off-the-shelf setups. One client, a 15-agent firm, was scoring 500 monthly leads accurately by week five, boosting their Q2 pipeline by 18%.

Can this system handle seasonal fluctuations in real estate leads?

Absolutely—our AI is designed for the cyclical nature of property markets. It incorporates seasonality into predictions, weighting spring buyer surges or winter investor spikes based on your historical data. For example, it might elevate scores for relocation leads in Q4 if your agency specializes in out-of-state moves. Benchmarks show 28% better accuracy during peak seasons compared to static tools. We also enable manual overrides for events like rate drops, ensuring flexibility. Agencies using it report consistent 30% conversion lifts year-round, turning volatile lead volumes into steady deal flow.

Is the lead scoring system secure for handling client property data?

Security is non-negotiable in real estate, where privacy breaches can kill trust. We use enterprise-grade encryption for all data in transit and at rest, compliant with GDPR, CCPA, and NAR guidelines. Access is role-based—agents see only scored leads, not sensitive details. Our audits have zero incidents across 250+ deployments. For property-specific risks, like unpublished listings, we anonymize during training. This fortified approach not only protects your MLS integrations but also builds client confidence, with one brokerage noting a 15% uptick in referrals after emphasizing our secure AI in pitches.

How do we measure ROI from your custom lead scoring?

We track tangible metrics from day one: conversion rates, time-to-close, and revenue per lead. Pre-implementation baseline sets the stage—say, your current 15% close rate on 300 monthly leads. Post-launch, dashboards show uplifts, like 35% more closes and $120K added commissions in quarter one. We benchmark against industry standards (NAR reports 20% average gains) but customize KPIs to your goals, such as faster multifamily deals. Monthly reviews adjust the model, ensuring sustained ROI. Clients typically recoup investment in 3-4 months through efficiency alone, without cutting ad spend.

Ready to Get Started?

Book your free consultation and discover how we can transform your business with AI.