Building GEOlikeaPro — multi-model AI visibility for e-commerce stores

I'm Alex, an SEO practitioner who's been running e-commerce stores for 12 years. I've spent the last six months obsessing over one thing: how AI assistants are quietly replacing the click between "buyer types a question" and "buyer arrives at a store."

I used to think top-3 Google rankings meant I'd done my job. Then I started checking what ChatGPT and Perplexity say when buyers ask the same questions, and most of the time my brand wasn't even mentioned. Realised that AI doesn't browse search results — it pulls from training data and a small set of cited sources, and that's a different optimization problem than SEO.

So I built GEOlikeaPro — not just for my own stores, but as a working tool for any e-commerce owner trying to figure out the new game:

- Real multi-model coverage: ChatGPT, Perplexity, Claude, and Google AI Overviews — not just one — because each pulls from different sources and ranks differently

- Multilingual output: FAQ schema, expert quotes, and citation fixes generated in your buyers' languages, not just English. Most competitors are English-only; my own stores aren't

- Cloudflare Workers + Supabase + OpenAI API** stack, single worker.js, no framework, fits in my head

The goal: help store owners go from "I have no idea if AI mentions me" to "I know what's missing and how to fix it" in an afternoon, not a quarter.

I'm at the point now where I'm refining what to charge and how to grow, and I'd love honest feedback from the community:

- What's the biggest bottleneck you face when trying to measure where your traffic actually comes from in 2026?

- Would you trust a solo-built GEO tool over a well-funded $99–$400/mo competitor — and what would tip it for you?

Alex