Why ListifyAI exists

Most Etsy listing tools tell sellers what they want to hear. They give inflated scores, vague advice like "add more keywords," and rewritten titles that are barely different from the originals. Sellers using them stay stuck.

ListifyAI was built to be the opposite: a clinical, honest audit tool that scores your listing against the same criteria Etsy's algorithm actually uses — title length, keyword placement, tag coverage, search intent match, description structure, pricing psychology. No flattery. No vague tips. A number that means something, and a set of AI-generated fixes that actually move the needle.

Who built this

My name is Ahmed Mohamed Hamimi. I'm a developer who got tired of watching Etsy sellers spend money on ads for listings that were never going to rank. The bottleneck was always the listing quality — not the budget. ListifyAI is my attempt to make a tool honest enough to actually help.

I built ListifyAI using FastAPI, Google Gemini, Supabase, and Gumroad. The scoring rubric was developed by studying Etsy's official seller handbook, analyzing hundreds of listings across categories, and systematically reverse-engineering what separates high-performing listings from low-performing ones on the same search terms.

The scoring philosophy

The rubric is hardcoded and injected into every AI prompt unchanged. The model is told explicitly: "Score based only on the criteria above. Do not infer effort or intent. A listing that meets all criteria must score 95–100. A listing that meets none must score 0–15."

This isn't punitive. It's calibrated to reality. A listing that scores 28 on SEO visibility genuinely has poor tag coverage relative to what Etsy's search algorithm expects. Knowing that clearly — not cushioned in vague advice — is what gets sellers to act.

Contact

Questions, feedback, or partnership inquiries: a.mhamimi@outlook.com