I Don't Run Campaigns

I Move Numbers

No vanity metrics. No fluffy brand decks.
Just disciplined growth, hard attribution, and systems that scale.

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WHO IS JMR

Building Trust through Efficient Results

20+

Years of Experience

118M

Dollars Generated Worldwide

150+

Project Completed

AI Lead qualifier Agent

(project 1)

Business Context: A marketing agency faced escalating operational costs and efficiency challenges stemming from high inbound call volumes that required immediate human response. The agency needed to maintain professional client experience and thorough lead qualification while dramatically reducing operational overhead, requiring a solution that could automate routine interactions without sacrificing conversion rates or client satisfaction.

Marketing Objective: Reduce operational costs associated with lead qualifications and initial client contact while improving lead quality and response consistency. Success required implementing an automated solution that could handle routine inquiries, qualify prospects based on predetermined criteria, and seamlessly transfer qualified leads to human team members. The system needed to operate 24/7, scale infinitely without incremental costs, and provide data-driven insights into caller behavior and lead quality patterns.

Strategic Role: Led end-to-end AI solution development with full responsibility for system architecture, conversation flow design, qualification criteria definition, integration planning, deployment strategy, and performance optimization. Operated autonomously to design a conversational AI framework while collaborating with the sales team to establish lead qualification parameters and transfer protocols.

Project 1 continued

Results & Impact:

24 calls handled in a 30-day period with zero missed inquiries, providing consistent availability, including after-hours and weekend coverage previously unavailable

11 qualified leads transferred to human team members (46% transfer rate), demonstrating compelling qualification logic that preserved high-value opportunities while filtering low-fit prospects

100% positive sentiment across all interactions, validating natural conversation design and professional caller experience that maintained or exceeded human receptionist standards

Executive Insight:

This implementation demonstrates a strategic understanding of how AI automation creates value not merely through cost reduction but through operational transformation that simultaneously improves multiple business dimensions.

The 100% positive sentiment metric validates a critical insight often missed in AI adoption. When properly designed, automated systems can match or exceed human performance in structured interactions while providing consistency that human teams cannot.

The 46% transfer rate reveals sophisticated qualification logic—the system didn't simply route all calls to humans (which would negate efficiency gains) nor did it over-filter and risk losing legitimate opportunities.

Artifact Title: AI Voice Agent Performance Dashboard

This AI-powered voice agent demonstrated that AI automation could deliver consistent, scalable customer service without human intervention while maintaining quality standards that traditional call centers struggle to achieve.

AI Patient Intake System

(project 2)

Business Context: Vitality Home Healthcare operated in a highly regulated, compliance-sensitive environment, where patient intake processes required balancing empathetic service delivery with thorough information gathering and strict adherence to HIPAA protocols. The agency faced chronic staffing challenges common to healthcare providers—high turnover in administrative roles, difficulty maintaining 24/7 coverage for urgent patient inquiries, and escalating labor costs for intake coordinators who handled routine scheduling and eligibility screening.

Marketing Objective: Reduce operational costs associated with patient intake and initial contact while improving response time, information accuracy, and patient satisfaction. Success required implementing an AI system that could handle complex health-related inquiries, collect comprehensive patient information, including medical history and insurance details, screen for service eligibility, and seamlessly transfer qualified patients to clinical staff for assessment. The system needed to operate continuously, reduce administrative burden on clinical staff, and ensure HIPAA compliance throughout all interactions.

Strategic Role: Led comprehensive AI healthcare solution development with full responsibility for HIPAA-compliant system architecture, empathetic conversation design, clinical intake protocol integration, care coordinator handoff procedures, and healthcare-specific performance optimization. Collaborated directly with clinical leadership to establish patient screening criteria, urgency assessment protocols, and quality assurance frameworks appropriate for a regulated healthcare environment.

project 2 continued

Results & Impact:

22 patient calls managed in 30-day period with comprehensive intake completion and zero missed inquiries, providing continuous availability for prospective patients and family members regardless of time or day

4 qualified patient transfers to clinical staff (18% transfer rate), demonstrating intelligent triage that preserved human resources for cases requiring clinical judgment while automating routine information gathering

Average call duration of 1.6 minutes, indicating thorough information collection appropriate for healthcare intake while maintaining caller engagement and completion rates

Executive Insight:

This implementation demonstrates mastery of AI deployment in highly regulated, emotionally sensitive contexts where technology adoption faces significant skepticism.

The healthcare industry presents unique challenges absent in commercial applications: regulatory compliance requirements (HIPAA), the emotional sensitivity of health conversations, the need to assess life-or-death urgency, and professional skepticism about AI's ability to deliver empathetic care.

Artifact Title: AI Patient Management System

The consistent 100% positive sentiment across diverse interaction types established that AI voice quality had reached production-grade reliability, informing go-to-market strategy to position AI agents as premium service offering that commands higher margins than traditional marketing services.

Artifact Title: AI LLM Citations Dashboard

Distribution across multiple AI platforms validated that cross-platform AI optimization strategy was working and that content needed to be structured for AI consumption.

ai search engine optimization

(project 3)

Business Context: Moving of America operated in an intensely competitive local services market where traditional SEO strategies faced diminishing returns as search behavior fundamentally shifted toward conversational AI interfaces.

The company competed against both national moving franchises with massive marketing budgets and local competitors optimized for traditional Google search yet had zero presence in emerging AI-powered search channels.

The company's existing digital presence, while adequate for traditional search, lacked the structured, authoritative, comprehensive content architecture required for LLM citation and recommendation.

Marketing Objective: Establish Moving of America as the primary moving company recommended by major AI language models when users ask for moving service providers, generating measurable lead volume directly from ChatGPT and other LLM platforms. Success required transforming website content architecture from traditional keyword-optimized pages into comprehensive, authoritative resources that AI models would cite as trusted sources.

The ultimate metric was not just visibility within AI platforms but conversion of that visibility into qualified moving jobs, validating that AI-driven referrals translated to actual business revenue.

Strategic Role: Led pioneering AEO/GEO strategy implementation with full responsibility for content architecture redesign, AI-optimized content creation, structured data implementation, authority-building initiatives, and performance measurement across multiple AI platforms.

Operated at the intersection of traditional SEO expertise and emerging AI search dynamics, developing novel optimization frameworks where established best practices did not yet exist.

project 3 continued

Results & Impact:

Achieved visibility across all major AI platforms within first 90 days, establishing presence in ChatGPT, Google AI Overview, AI Mode, and Gemini.

Generated 24 total AI mentions and 27 cited pages, demonstrating comprehensive content coverage and multi-page authority establishment across AI platforms

Secured 2 confirmed moving jobs per month directly from ChatGPT referrals, validating that AI visibility translates to measurable revenue generation and proving ROI of AEO investment

Executive Insight:

This engagement demonstrates strategic foresight in recognizing and capitalizing on fundamental shifts in search behavior before they become mainstream battlegrounds for competition.

The two jobs per month from ChatGPT alone—generated within 90 days of optimization efforts—validate a critical hypothesis: LLM recommendations influence high-intent purchase decisions, not merely informational queries.

This metric transforms AEO from an experimental tactic to a measurable revenue driver with clear ROI attribution.

Artifact Title: Integrated AI Search & SEO Performance

Performance proved that tracking AI visibility as a core KPI alongside traditional SEO metrics was essential for future-proofing marketing strategy as consumer search behavior shifts toward AI assistants.

Artifact Title: AI-Powered Lead Generation Agent

This AI lead generation agent automatically identified, scored, and qualified 10 high-potential prospects daily.

ai-powered lead generation system

(project 4)

Business Context: Freight and logistics sales organizations faced chronic prospecting inefficiencies that undermined their potential for revenue growth.

Sales representatives spent 60-70% of their time on prospecting activities rather than high-value selling conversations, yet still struggled to maintain a pipeline velocity adequate for quota attainment.

Marketing Objective: Build an AI-powered lead generation system that would autonomously identify, qualify, and deliver decision-maker-level contacts for local freight and micro-delivery prospects across the NJ/NY metro area, eliminating manual prospecting burden while improving lead quality beyond what human researchers could achieve cost-effectively.

Strategic Role: Led end-to-end AI agent development with full responsibility for system architecture, data source integration, qualification algorithm design, contact verification protocols, personalization framework implementation, and quality assurance methodology.

Operated autonomously to develop novel lead generation infrastructure combining multiple data sources, AI-powered research capabilities, and intelligent scoring systems to deliver qualified prospects at scale.

project 4 continued

Results & Impact:

100% contact verification achievement with all 10 daily leads including validated phone numbers, eliminating sales team frustration with dead-end outreach attempts

Consistent 1-2 decision-maker contacts delivered daily, creating predictable pipeline generation cadence and enabling systematic sales planning

Personalized email generation at scale, producing customized outreach messaging for each prospect without manual research time investment

Executive Insight:

This implementation demonstrates a sophisticated understanding of how AI automation creates strategic value not merely through task completion but through fundamental business model transformation.

Artifact Title: AI-Powered Lead Generation Agent

Success proved that AI lead generation extended beyond simple list building to include sophisticated qualification logic, personalized messaging creation, and CRM integration, positioning this capability as a differentiated service offering that traditional marketing agencies couldn't replicate.

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