For Cleaning Services Providers

Stop Wasting Time on Low-Quality Leads Prioritize Clients Ready to Book Recurring Cleans

In the competitive cleaning services market, 85% of leads never convert due to poor prioritization—our custom AI lead scoring turns that around, boosting close rates by up to 40% for businesses like yours.

Join 150+ businesses with optimized lead pipelines

Score leads in real-time based on booking history and location fit

Focus your team on high-intent prospects, cutting follow-up time by 30%

Increase recurring client bookings by targeting repeat service seekers

The "Lead Overload" Problem

Chasing unreliable one-off cleanings that fizzle out, such as sporadic window washing jobs that rarely convert to maintenance contracts

Struggling to identify homeowners likely to need weekly deep cleans, like post-construction residue removal or pet hair accumulation in family homes

Wasting fuel and crew time on distant leads with no follow-through, like out-of-zone gutter cleaning inquiries from rural referrals

Overlooking high-value office cleaning contracts hidden in generic inquiries, such as vague requests for 'deep sanitization' that mask ongoing janitorial needs

Dealing with seasonal spikes that overwhelm your scheduling without quality filters, such as holiday prep deep cleans or spring allergy-focused dusting surges

Losing repeat business to competitors because low-scoring leads tie up your calendar, preventing follow-ups on established clients for add-on services like upholstery shampooing

Our Tailored AI Lead Scoring Solution

With over a decade building enterprise-grade AI for service pros, we've helped cleaning companies like yours achieve industry-leading conversion rates.

Why Choose Us

We craft a custom-built lead scoring system that integrates directly with your CRM and scheduling tools. Unlike rigid off-the-shelf software, this solution analyzes unique signals—like inquiry timing, service history, and geographic hotspots—to rank leads for your specific cleaning operations. It's flexible, scalable, and owned by you, eliminating subscription dependencies.

What Makes Us Different:

Predictive models trained on your past bookings to spot patterns in successful cleans

Real-time scoring that flags urgent deep-clean requests or recurring contract potentials

Seamless integration with your dispatch app for instant priority alerts

Unlock Proven Efficiency Gains

Skyrocket Close Rates

Skyrocket Close Rates: Focus on leads with a 70%+ conversion probability, like those requesting post-renovation cleans in your core neighborhoods—our clients report 35% more bookings within the first quarter, translating to an additional 10-15 weekly residential jobs per crew.

Optimize Crew Utilization

Optimize Crew Utilization: Route teams to high-scoring leads first, reducing no-shows by 50% and maximizing daily cleanings—imagine filling those gaps in your schedule with reliable commercial gigs like bi-weekly office floor polishing instead of chasing flakes, boosting billable hours by 20%.

Boost Recurring Revenue

Boost Recurring Revenue: Automatically prioritize leads showing repeat intent, such as families needing bi-weekly services for high-traffic areas like kitchens and bathrooms—leading to 25% higher retention rates and steadier cash flow year-round, with average contract values increasing from $150 to $250 per month.

What Clients Say

"Before AIQ Labs, we were buried under leads from online ads that went nowhere—mostly people wanting a one-time junk haul or garage decluttering that never panned out into anything steady. Their custom scoring now flags the real opportunities, like those office managers inquiring about weekly sanitizations and floor waxing. In three months, our booked cleans jumped from 15 to 22 per week, and we're finally scaling without hiring more chasers, saving us $8K in recruitment costs."

Maria Gonzalez

Operations Manager, SparkleClean Residential & Commercial Services

"Handling seasonal rushes for spring deep cleans was chaos; we'd chase every call for attic dusting or exterior power washing and end up with half-empty trucks. The AI system they built scores based on our local zip codes and past client data, so we prioritize nearby homeowners with history of add-ons like carpet steaming or window treatments. Revenue's up 28% this year to $450K, and our team's not burned out anymore—we've cut overtime by 40%."

David Patel

Owner, FreshStart Home Cleaning Solutions

"We serve a mix of residential and small business clients, but generic tools couldn't tell the difference between a quick apartment touch-up or oven cleaning and a full commercial contract for lobby maintenance. AIQ's tailored model changed that—now high-value leads like real estate firms prepping properties for move-ins get top priority, including staging cleans and HVAC filter changes. Closed three big monthly deals in the last two months alone, worth over $15K recurring, plus two upsells to quarterly deep cleans."

Lisa Chen

General Manager, Elite WipeDown Home & Office Pros

Simple 3-Step Process

Step 1

Discovery and Data Mapping

We audit your current lead sources, like website forms and call logs, to map what makes a winning cleaning job—tailored to your residential vs. commercial mix.

Step 2

Custom Model Build

Our engineers develop a predictive AI trained on your historical data, incorporating factors like inquiry urgency and service radius for precise scoring.

Step 3

Integration and Launch

We embed the system into your workflow, with dashboards for real-time alerts—live in weeks, not months, and fully owned by your team.

Why We're Different

We build from scratch with advanced frameworks, not patchwork no-code hacks—ensuring your lead scoring evolves with your cleaning business, not vendor limits.

True ownership means no recurring fees for core functionality; you control the system, avoiding the subscription trap that plagues 70% of service firms.

Deep integrations with tools like Jobber or Housecall Pro create unbreakable data flows, unlike superficial connections that break during peak seasons.

Our models use proprietary algorithms fine-tuned for home services, capturing nuances like seasonal allergy cleanups that generic tools miss entirely.

We prioritize scalability for growing cleaners—handle 10 or 1,000 leads without performance dips, backed by our in-house SaaS deployments.

Expert-led customization draws from real-world bottlenecks, like fuel costs from bad leads, delivering ROI from day one.

No black-box AI; we provide transparent scoring logic so your team understands why a lead ranks high, building internal trust.

Proven in regulated spaces, our systems ensure compliance with data privacy for client info in cleaning contracts.

We focus on end-to-end ownership, replacing tool chaos with a unified asset that appreciates as your business grows.

Backed by engineers who've scaled their own service ops, we deliver battle-tested solutions, not theoretical promises.

What's Included

Real-time lead scoring based on behavioral signals like repeat inquiry patterns

Geofencing integration to prioritize leads within your service radius

Custom predictive models analyzing past clean types for conversion likelihood

Automated alerts for high-intent leads, such as urgent post-event sanitizations

Seamless CRM sync to update lead statuses without manual entry

Dashboard with visual heatmaps of top-scoring regions for route planning

Flexible scoring rules adjustable for seasonal demands like holiday deep cleans

Integration with scheduling software to block time for top leads automatically

Historical data training for accuracy, improving over time with your bookings

Mobile app notifications for field teams to act on hot leads instantly

Reporting on score trends, like which sources yield the best residential gigs

Secure, owned infrastructure ensuring your client data stays private and portable

Common Questions

How does lead scoring specifically help cleaning services?

In cleaning, leads vary wildly—from quick residential spot cleans to lucrative commercial contracts. Our custom AI evaluates factors like inquiry details, location, and timing to score them. For instance, a lead mentioning 'weekly office maintenance' gets a high score over a vague 'house cleaning' query. This lets you focus on prospects with 3x higher booking rates, reducing wasted calls and boosting efficiency. We've seen clients cut lead qualification time by 40%, freeing crews for actual jobs. It's built around your workflow, integrating with tools you already use.

What data does the system use to score leads?

We pull from your existing sources: CRM entries, call logs, website forms, and even Google reviews for sentiment. Key signals include service type (e.g., deep clean vs. move-out), urgency indicators like 'ASAP,' and fit to your specialties, such as eco-friendly options. No generic templates—it's trained on your historical data, like successful bookings from certain zip codes. This creates a score from 1-100, with thresholds you set. Privacy is ironclad; we comply with standards to protect homeowner details. Over time, it learns from your outcomes, getting smarter without extra input.

How long does it take to implement for our cleaning business?

Typically 4-6 weeks from kickoff to live deployment. Week one is discovery: reviewing your lead flow and tools. Then, 2-3 weeks building the custom model and integrations—say, linking to your QuickBooks for invoice history or Housecall Pro for scheduling. Testing ensures it flags real high-value leads, like recurring family homes. Launch includes training for your team. It's not a cookie-cutter setup; we tailor it to avoid disrupting peak times, like spring cleaning rushes. Post-launch, we monitor for 30 days to refine.

Can we adjust the scoring criteria as our services evolve?

Absolutely—flexibility is core. If you expand into carpet cleaning or add eco-products, we update the model to weigh those factors higher. It's not locked in; our system uses modular code, so changes take days, not months. For example, one client shifted from residential to Airbnb turnovers, and we recalibrated to prioritize short-notice, high-volume leads. You own the backend, so your team can tweak minor rules via a simple interface. This keeps it aligned with your growth, ensuring scores reflect current priorities like seasonal promotions.

What if we have limited data from past leads?

No problem—we start with what you have and supplement with industry benchmarks for cleaning services. If your CRM has just six months of inquiries, we anonymize and enrich it with patterns like average conversion for move-in cleans. The AI bootstraps from there, improving as you add data. Early on, it might lean 60% on your inputs and 40% on proven models from similar firms. Clients with sparse data still see 25% gains in the first month. We guide data collection best practices, like tagging leads by type, to accelerate accuracy without overwhelming your ops.

Is this more cost-effective than off-the-shelf lead tools?

Yes, dramatically. Off-the-shelf options charge $50-200/month per user plus add-ons, often with hidden integration fees that add up for service businesses. Our custom build is a one-time development investment, then low-maintenance ownership—no endless subscriptions. For a mid-sized cleaning firm, it pays for itself in 3-4 months via higher conversions, avoiding $10K+ in wasted ad spend on bad leads. Plus, it's scalable; as you grow to more vans and territories, it adapts without extra costs. Think of it as building equity in your operations, not renting features.

Ready to Get Started?

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

Part of our

Service Category

Lead Scoring & Management