A Manufacturer Came to Us Invisible.
Fourteen years in business. A product line trusted across North America, with roughly 95% of sales going into the US. Real specs, real warranty, real reputation — and a three-page website that gave Google and ChatGPT nothing to work with. When buyers searched for exactly what they make, the answers named someone else.
The owner found AlphaPixels the same way his customers will find him: he googled. He told us he'd rather work with a local AI expert than an international one. Two days after the first call, we were building.
Client name and figures withheld under NDA. We'll walk you through the details on a fit call.
The Situation
Everything Was Real — Except the Online Presence
- 14 years in business, selling across North America — roughly 95% into the US
- A niche product line with real specs, real fitment answers, and a genuine warranty story
- A three-page website: no articles, no product guides, no structured data
- Nothing for Google or ChatGPT to cite — so AI engines recommended competitors instead
- Calls landing while the whole team was working — with no system to catch them
- Years of customer and dealer contacts with no follow-up engine
This is the quiet pattern we see in established businesses everywhere: the experience is real, but it lives in the owner's head, the shop floor, and a paper catalog — places no search engine or AI can read. Meanwhile, thinner competitors who bothered to write things down get recommended first.
The Build
What We're Installing
One system, aimed at one outcome: when a buyer anywhere in North America asks about this product category, this company is the answer — and no lead slips through.
A modern store, rebuilt around how buyers actually shop
Full e-commerce rebuild with the complete catalog, clean navigation by machine and product type, and every product page carrying real spec data and search-ready metadata.
100 publish-ready buyer guides — in their voice
Written from their actual catalog, specs, fitment data, and warranty terms, in the owner's blunt jobsite language. Structured with question-format headings, FAQ blocks, and schema so search and AI engines can quote them directly.
An AI receptionist that never leaves the phone ringing
Every call answered 24/7, missed calls get an instant text back, inquiries qualified and routed — built for a team that works with their hands, not at a desk.
Reactivating a contact database in the tens of thousands
Years of past buyers and dealer inquiries digitized, cleaned, and put into a respectful, CASL-compliant reactivation engine — revenue that was sitting in a drawer.
A dealer channel with a real funnel
A dedicated dealer application path with automated follow-up, so wholesale interest stops depending on someone remembering to reply.
Why This Works
Getting Found Is Rarely About Being Clever.
When someone asks ChatGPT or Google which product fits their machine, the engine answers from what it can read: your site, your guides, your reviews, your structure. No content means no mention. Thin content means a vague mention. Clear, specific, well-structured content — built from real specs and real experience — makes you the recommendation.
This client had fourteen years of answers nobody had ever written down. Our job is simply to make them the most legible business in their category — and to make sure that when the calls come, every single one gets caught. Store launch is set for summer 2026, ahead of their busy season. We'll update this page with the scoreboard as results land — real numbers only.
Your Business Has Answers
Nobody Has Written Down Yet.
If you've built something real and you're watching louder competitors out-found you online, that's fixable. Start with a free 15-minute audit — we'll show you live what Google and ChatGPT say about your category today.
How the 'get found' engine works
The same playbook we run for manufacturers, explained in plain English.
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