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AI That Qualifies, Nurtures & Books Meetings

Automate lead capture, qualification, and follow-up so your sales team only talks to prospects ready to buy.

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Leads are slipping through the cracks

Website visitors leave without converting

Slow response times kill deal momentum

Sales reps waste time on unqualified leads

No follow-up system for nurturing cold leads

Manual data entry into CRM eats hours daily

What We Implement

AI lead qualification chatbot

Automated meeting booking

CRM auto-sync (HubSpot, Salesforce, etc.)

Lead scoring & prioritization

Email/SMS nurture sequences

Real-time notifications for hot leads

Our Process

01

Pipeline Mapping

We map your sales funnel, qualification criteria, and handoff points to design the optimal AI workflow.

02

Chatbot & Forms

Deploy AI-powered lead capture that asks the right questions and qualifies prospects in real-time.

03

CRM Integration

Auto-sync qualified leads to your CRM with scores, tags, and conversation history.

04

Automation & Follow-up

Set up nurture sequences, meeting booking, and automated follow-up for every lead stage.

Tools We Use

We select the best tools for your specific needs from our 45+ tool stack.

ChatGPT for BusinessHubSpot AI (Breeze)Salesforce Einsteinn8nZapier AIBland.ai

Frequently Asked Questions

Will this work with our existing CRM?

Yes. We integrate with HubSpot, Salesforce, Pipedrive, and most CRMs via API or Zapier/n8n.

How does AI qualify leads?

The chatbot asks qualifying questions you define (budget, timeline, company size, etc.) and scores leads automatically.

Can it book meetings on our calendar?

Yes, direct integration with Calendly, Cal.com, or native calendar booking.

What's the expected ROI?

Clients typically see a significant increase in qualified meetings booked within the first few weeks of deployment.

Proven Results

Explore
VM Power Exteriors case study: VM Power Exteriors: Cold-Start Foundation Inside a 4-Division Family (Phase 1)
Contractors

VM Power Exteriors: Cold-Start Foundation Inside a 4-Division Family (Phase 1)

Foundation laidOrganic Clicks (90 days)
Case Study
PxlPeak case study: How PxlPeak Scaled Operations with AI Automation
Marketing

How PxlPeak Scaled Operations with AI Automation

85% fasterContent Production Speed
Case Study
Specap, Inc. case study: How Specap Scaled Their Specialist E-Commerce Platform
Electronics

How Specap Scaled Their Specialist E-Commerce Platform

5x growthAnnual Revenue
Case Study

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case study
Under 45 min
Content Production Speed

How PxlPeak Scaled Operations with AI Automation

As PxlPeak grew, the manual workload for lead qualification, content drafting, and client reporting became a scalability bottleneck. The agency was stuck in a high-headcount, low-margin trap, where every new client required a linear increase in manual labor. Additionally, our digital infrastructure lacked the technical hardening required for enterprise-level B2B sales, with fragmented systems and inconsistent data security protocols.

View case study
case study
493
Organic Clicks (90 days)

VM Power Construction: 0 to 493 Organic Clicks and 212K Impressions in 90 Days

VM Power Construction & Remodeling LLC is the parent of a four-division Lehigh Valley contracting family: VM Power Construction (general remodeling, formed 2018 with founder Vincent Karaca's trade history since 2003), VM Power Decks (the legacy V&M Power brand since 2005), VM Power Exteriors (roofing, siding, gutters), and VM Power Flooring (hardwood, LVP, tile, refinishing). Each division operates independently, its own brand, phone, office, team, and website, while the parent LLC holds the licenses (PA HIC #158550, NJ HIC #13VH11744800) and the BBB A-rated profile with 448 reviews on Google. Despite 22+ years of trade reputation and a real customer base, the four division websites were ranking nowhere outside of direct branded searches. Schema across the four sites operated in entity-graph silos, no parent-child Organization references, conflicting NAP, fragmented aggregateRating placements, and zero shared content cluster. None of the four domains showed up for the high-intent informational queries (renovation cost, permit guidance, ADU regulations) that Lehigh Valley homeowners actually search before hiring a contractor. The core problem wasn't visibility, it was that Google had no way to recognize the four divisions as one credentialed family operating across six office locations.

View case study
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