Service Business Prospecting

Daily lead generation for local US service businesses (HVAC, Plumbing, Dental, Med Spa, etc.). Generates qualified leads with verified contact info, ready for Ventured Brands AI automation sales outreach.

Overview

This skill runs a daily 6am lead-generation job for Ventured Brands, who sells AI automation (missed-call text-back, AI receptionist, review automation, full-stack bundles) to local US service businesses.

Objective

Produce a fresh batch of ~25 qualified, contactable leads in one US metro for one of the four target industries, saved as a daily-dated CSV that drops cleanly into the AI_Automation_Lead_Tracker.xlsx.

Target Industries (4)

Industry	Slug
HVAC / Plumbing / Electrical	hvac-plumbing-electrical
Med Spa / Dental / Chiro	med-spa-dental-chiro
Auto Detail / Repair	auto-detail-repair
Cleaning / Landscaping / Pest Control	cleaning-landscaping-pest

Pitch Angles (4)

Pitch	Description
Missed-Call Text-Back	Automated text back when they miss a call
AI Receptionist	Virtual front desk AI
Review Automation	Automated review requests
Full-Stack Bundle	All AI products combined

ICP (Ideal Customer Profile)

Target:

• Local US service businesses (not chains/franchises)
• 2-10 employees
• Established (2+ years in business)
• Has Google/Yelp presence
• Not already using AI competitors

NOT Target:

• Chains (Servicemaster, etc.)
• Solo operators
• New businesses (<1 year)
• Enterprise/commercial only

Day Rotation

Day	Industry-City
Monday	HVAC/Plumbing/Electrical - Phoenix, AZ
Tuesday	Med Spa/Dental/Chiro - Scottsdale, AZ
Wednesday	Auto Detail/Repair - Dallas, TX
Thursday	Cleaning/Landscaping/Pest - Austin, TX
Friday	HVAC/Plumbing/Electrical - Tampa, FL
Saturday	Med Spa/Dental/Chiro - Miami, FL
Sunday	Cleaning/Landscaping/Pest - Atlanta, GA

Scoring Rubric

TIER	Criteria	Points
A	Phone + Email + Website + Owner Name	4/4
B	Phone + Website (no email)	3/4
C	Phone only OR partial info	1-2/4
D	No phone / Uncontactable	0/4

Workflow (9 Steps)

Step 1: Check Rotation

• Read today's day-of-week
• Get industry-city combo from rotation table
• Check last 7 days of output to avoid repeats

Step 2: WebSearch - Business Discovery

Search queries per industry:

• "[Industry type] [City] AZ phone number address"
• "[Industry type] [City] AZ owner name email"
• "[Industry type] [City] AZ yelp reviews"

Get minimum 10 real businesses. NEVER fabricate.

Step 3: ICP Filtering

Remove:

• Chains/franchises (name includes "Mister", "Merry", "ServiceMaster", "College")
• New businesses (<2 years)
• Commercial-only

Step 4: Contact Enrichment

For each lead:

• Extract phone number (primary)
• Find email from website/Facebook
• Get owner/contact name
• Verify address

Step 5: Scoring

Assign Tier A/B/C/D based on contact completeness.

Step 6: Pitch Assignment

Match to best pitch angle:

• Has receptionist/front desk → AI Receptionist
• Has reviews → Review Automation
• Small biz → Missed-Call Text-Back
• Enterprise-ready → Full-Stack Bundle

Step 7: Build Output

Create CSV with columns:

Company Name, Owner/Contact, Phone, Email, Address, City, State, Zip, Industry, Pitch Angle, Tier, Status, Last Contacted, Notes, Source

Step 8: Quality Check

• Verify 10+ leads have phones
• Report email yield
• Flag any data gaps

Step 9: Save Output

Save to:

<outputs-folder>/daily-leads/<YYYY-MM-DD>-<industry-slug>-<city-slug>.csv

Also save notes.md with summary.

Data Quality Rules

• NEVER fabricate businesses, owner names, phone numbers, or emails
• If WebSearch returns <10 real leads, report the shortfall
• All leads must be real, verifiable businesses
• Email must be from website/Facebook (not guessed)

Tracker Vocabulary (Reference)

Industry values:

• "HVAC"
• "Plumbing"
• "Electrical"
• "Med Spa"
• "Dental"
• "Chiro"
• "Auto Detail"
• "Auto Repair"
• "Cleaning"
• "Landscaping"
• "Pest Control"

Pitch Angle values:

• "Missed-Call Text-Back"
• "AI Receptionist"
• "Review Automation"
• "Full-Stack Bundle"

Status values:

• "Not Contacted"
• "Attempted"
• "Connected"
• "Qualified"
• "Proposal Sent"
• "Closed Won"
• "Closed Lost"

Output Files

1. CSV - 2026-04-28-med-spa-dental-chiro-scottsdale.csv
2. Notes - notes.md with:
   • Industry+City used
   • Sources checked
   • Count by tier
   • Email yield
   • Data quality caveats