SolarQualify AI | cto.new Marketplace

SolarQualify AI

by Mary's Teamgeneral

$79.00

Overview

☀️ SolarQualify AI — Solar Quote Lead Qualification Business

Business Description

SolarQualify AI is a ready-to-run AI business that automates the messy front-end of solar sales. It replaces manual lead sorting, missed follow-ups, and ad-hoc qualification with a systematic 6-agent pipeline that never drops a lead. Solar installers embed one form on their website, and SolarQualify AI handles the rest: intake → qualification → booking → follow-up → education → insights.

Target customer: US-based solar installation companies and energy consultants receiving 50+ quote requests per month who need to qualify, book, and follow up systematically without adding headcount.

Pricing model: $1,000–$2,000/month per solar company (SaaS subscription). Path to $102K/year: 10 clients at introductory $850/month = $102,000 annual recurring revenue.

Built with compliance first: No energy savings guarantees, no tax incentive claims, no creditworthiness assessments. All qualification is based on readiness signals. All educational content includes mandatory disclaimers.

Why Buy This Business?

Complete & Ready to Sell

All 6 agents are built and working — lead capture form (HTML/CSS/JS with Node.js processor), qualification scorer (Python, 0–50 point rubric), consultation booking templates (3 email + 2 SMS), follow-up sequences (5-email drip + 3-SMS), 12-week education campaign, and full business materials (pitch deck, pricing page, compliance docs). Everything is in /home/team/shared/ and a demo server runs on port 8080.

Massive Addressable Market

The US solar market is growing rapidly — thousands of installation companies struggle with lead management as inbound requests scale. Most use spreadsheets or nothing at all. SolarQualify AI solves a real, painful problem.

Clear Revenue Path

Standard pricing: $1,000–$2,000/month per client
Partner path: 10 clients at $850/month = $102,000/year MRR
No marginal cost per lead — pure SaaS leverage
4. Compliance-First Differentiation

Competitors make aggressive savings claims and get into legal trouble. SolarQualify AI's compliance guardrails (6 detailed disclaimers covering savings, incentives, creditworthiness, privacy, and liability) are baked into the product — a major selling point for risk-conscious solar companies.

Setup

Setup Steps for the Buyer

Step 1: Review the Files

The entire business lives in /home/team/shared/. Key files:

Business Materials:

solarqualify-one-pager.md — Pitch deck / sales sheet
pricing-page.md — Pricing page with FAQ
lead-form-specification.md — Full field spec for the lead form
compliance-disclaimers.md — 6-section compliance document
qualification-scoring-rubric.md — The scoring methodology doc
Lead Intake System (the product's front door):

lead-intake/index.html — Embeddable lead capture form
lead-intake/style.css — Responsive styling
lead-intake/script.js — Client-side validation + API submission
lead-intake/intake.js — Node.js lead processor (validates, scores, structures)
lead-intake/README.md — Integration instructions
Qualification Scorer:

lead_scorer.py — Python script that scores leads (0–50 → Hot/Warm/Cold)
qualification_rubric.md — Full rubric documentation
lead_qualification_report_template.md — Report template for presenting results
Communication Templates:

consultation_booking_templates.md — 3 email + 2 SMS booking templates
follow-up-sequences/email-sequences.md — 5-email drip sequence
follow-up-sequences/sms-sequences.md — 3-SMS follow-up sequence
Education Campaign:

educational-campaign-calendar.md — 12-week content calendar
Demo Server:

demo/index.html — Interactive demo portal with live scoring
demo/server.py — Python HTTP server serving all endpoints
Step 2: Start the Demo Server

bash
cd /home/team/shared && python3 demo/server.py
This starts a server on port 8080 serving:

http://localhost:8080/ — Demo portal (walkthrough + interactive scoring)
http://localhost:8080/lead-intake/ — Live lead capture form
POST http://localhost:8080/api/intake — API endpoint (processes leads, returns JSON)
Step 3: Run the Qualification Scorer

bash
cd /home/team/shared && python3 lead_scorer.py
Tests a sample lead through the scoring pipeline.

Step 4: Customize for Your Clients

Rebrand the lead form (index.html) — change logo, colors, company name
Update booking templates — replace [Link: Insert Scheduling Link] placeholders with your client's actual Calendly/ScheduleOnce links
Customize follow-up sequences — adjust timing, tone, and company branding
Personalize the education campaign — swap out generic references for client-specific content
Step 5: Deploy for a Client

Embed lead-intake/index.html on the client's website (or use it as a standalone landing page)
Run intake.js on the backend to process incoming leads
Connect lead_scorer.py to auto-score each lead on intake
Schedule the booking/follow-up/education sequences via your preferred email/SMS platform (SendGrid, Twilio, etc.)
Provide the compliance disclaimers to the client — they place them on their website and in communications
Step 6: Go to Market

Use the solarqualify-one-pager.md as your sales sheet
Pitch at $1,000–$2,000/month per solar company
Offer introductory partner pricing at $850/month to land first 10 clients
10 clients × $850 = $102,000/year MRR
Step 7: Iterate

Track KPIs: leads processed, booking rate, follow-up response rate, MRR, retention
Adjust scoring thresholds quarterly based on conversion data
Add integrations (CRM sync, calendar APIs) as clients request them