We built the tool
we couldn't find.
Shopping discovery is moving from search results to AI conversations. Merchants had no way to measure, understand, or improve their visibility in this new world — so we built one.
The Problem Becomes Clear
ChatGPT Shopping launched. Merchants started asking: "Why isn't my product showing up?" The answer was always the same — AI engines need structured signals that most product pages don't have.
Building the Analysis Engine
We spent months reverse-engineering the documented recommendation criteria for each AI engine. Category-aware attribute detection. Per-engine scoring. Real buyer prompt generation — not keyword lists.
The Non-Destructive Insight
Rewriting product listings carried real risks: brand consistency, SEO impact, operational friction. The better answer: generate dedicated AI context files that live alongside the storefront, never replacing it.
Principles that guide every decision.
These aren't marketing values. They're the constraints we set for ourselves before writing a single line of code.
Every recommendation is traceable
No opaque scores. Every fix traces back to a specific, checkable signal grounded in how each AI engine is documented to actually work. Merchants understand why — not just what.
Non-destructive by design
RecoMind never modifies a live product listing. AI context files are generated and published alongside the storefront — additive, never a replacement. Your SEO and brand copy stay exactly as you set them.
Category-aware, not generic
A food product and an electronics product are judged on completely different criteria. Recommendations are grounded in what a real buyer of this specific product needs — never a one-size-fits-all checklist.
Built for how merchants actually work
Async analysis with live progress. Plan-aware limits. Automatic context file generation. Results that are actionable, not a report that sits unused.
Start winning AI recommendations.
Install on your Shopify store and get your first AI readiness score in minutes.