An AI-powered marketing engine that converts a contractor's voice note and job site photos into three publish-ready SEO assets — automatically, in under two minutes. Conceived, built, and launched in Ohio.
$5K
Projected MRR per client cohort
5+ hrs
Admin hours saved per contractor, per week
3
SEO-ready marketing assets per job, automated
~$0
Marginal cost per new client added
01 / Problem
The American trades industry employs millions of skilled professionals — plumbers, roofers, HVAC technicians, electricians — who build, fix, and maintain the physical infrastructure of every community in this country. Most of them are nearly invisible online, not because they lack work, but because they lack time.
I know this firsthand. Before building TradesSnap.US, I spent years inside the industry — in HVAC distribution, electrical manufacturing, and residential roofing. I watched excellent contractors lose jobs to worse competitors simply because those competitors had a fresher Google Business Profile or a few more reviews. The gap between doing great work and being found for it was costing real businesses real money, every single week.
The core diagnosis
A skilled contractor finishing a burst pipe repair at 6pm has zero interest in writing a 500-word SEO blog post. The barrier isn't motivation — it's friction. TradesSnap.US was built to eliminate that friction entirely.
02 / Market
TradesSnap.US serves two audiences simultaneously. The first is the contractor — the paying customer, who needs a frictionless tool that fits into a job site workflow. The second is the homeowner — the contractor's customer, who is often on a phone, often stressed, and making a high-stakes hiring decision in real time.
There is a third "audience" that most contractors never think about: the Google Local algorithm. Every piece of content the system generates is built to satisfy all three at once.
The Contractor
The Paying Customer
The Homeowner
The End Consumer
The Algorithm
Google Local Search
03 / Solution
The core design decision was to make the contractor's ask as small as humanly possible: a rough voice note and two photos. Everything else — transcription, jargon translation, geo-tagging, copywriting, schema markup, formatting — is handled by the pipeline.
The AI system operates under a strict proprietary ruleset I architected from the ground up: every technical specification must be translated into a homeowner benefit, the location must appear in the headline and first paragraph of every piece, the Problem–Agitate–Solve copywriting framework must structure every case study, and no details may be invented or assumed.
How it works
Input
AI Engine
Claude API
Transcription · Jargon Translation · Geo-tagging · PAS Copywriting · JSON-LD Schema
3 Outputs
The strategic insight
A mid-size marketing agency charges $2,000–$4,000/month for a fraction of this output, produced by humans working on multiple clients simultaneously. TradesSnap.US delivers the same result with consistency no human team can match — and the marginal cost of each new client is near zero.
04 / Execution
Research & Architecture
Industry insight to system design
Years of firsthand experience in HVAC distribution, electrical manufacturing, and residential roofing became the product brief. I mapped the contractor workflow, identified every friction point, and designed the data schema: three interconnected collections — Services, Locations, and Project Case Studies — with relational logic to power the Hub-and-Spoke CMS.
AI Pipeline & Prompt Engineering
Building the content engine
Architected the full AI content pipeline using Claude Code as the development environment. Engineered the system prompt with strict rules: zero hallucination constraints, mandatory jargon-to-benefit translation, geo-tagging requirements, PAS copywriting structure, and JSON-LD schema output. Integrated OpenAI Whisper for audio transcription capable of handling job-site noise and trade terminology.
Front-End & CMS Build
Platform development and mobile-first UX
Built the full front-end in HTML, CSS, and JavaScript with a mobile-first design — sticky "Call Now" header, before/after image slider, thumb-friendly navigation. Structured all data in JSON with JSON-LD schema auto-injected into each project page head. Wired the backend pipeline in Python with REST API integrations for publishing and distribution.
Automation & Launch
Multi-channel distribution and go-live
Configured Make.com automation for multi-channel publishing: website CMS, Google Business Profile, and social media simultaneously. Launched TradesSnap.US live and indexed in Ohio — ready to onboard the first contractor cohort.
05 / Tech Stack
Every component was selected for reliability, scalability, and low marginal cost per client. The pipeline is fully automated — adding a new subscriber does not require additional human labor.
AI Development & Content Generation
Backend & Data
Front-End
Automation & Distribution
06 / Business Model
TradesSnap.US operates as a productized subscription service. Contractors subscribe, connect their workflow, and receive publication-ready content without hiring a copywriter, SEO agency, or social media manager. The product delivers more output per dollar than any human team at this price point — with perfect consistency every time.
The unit economics are designed for scale: the pipeline is fully automated, so adding clients increases revenue without proportionally increasing cost. This is marketing infrastructure that pays for itself — and then generates profit.
Revenue Model
The value comparison
A regional marketing agency charges $2,000–$4,000/month to produce a fraction of this content volume, on a slower cadence, with inconsistent local specificity. TradesSnap.US produces more, faster, with hyper-local accuracy — at a price point every independent contractor can justify.
07 / Results
TradesSnap.US is live, indexed, and built for scale. The system produces a constant stream of hyper-local, long-tail keyword content — exactly the type Google rewards with Local Map Pack placement. Every project a contractor completes becomes a permanent SEO asset, compounding over time.
The long-tail impact is the real story: a contractor with 50 published case studies across 10 neighborhoods isn't just ranking today — they're building a content moat that gets harder for competitors to close every single week.
$3–5K
Projected monthly revenue, initial cohort
5+ hrs
Admin time saved per contractor, per week
∞
Scalability — zero marginal cost per new client
The bottom line
TradesSnap.US is proof that AI, applied with domain expertise and genuine user empathy, generates real revenue — not as a novelty, but as an operational product. This is marketing as a revenue generator. Built from the ground up by one person, with direct industry knowledge, in Ohio. Live at tradessnap.us
Product Demo
The full TradesSnap.US value proposition — in 60 seconds.
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