Sergio Rubio

AI Rankster - Get AI to recommend your online store

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Most tools focus on SEO, ads, socials... This project focuses on how AI assistants interpret and select ecommerce stores when users ask buying questions — and why many stores get ignored even with traffic. It targets a small set of missing content and technical signals (buyer context, product clarity, basic structured data) that help AI systems understand and trust a store, without rebuilding everything.

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Sergio Rubio
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Most existing products focus on classic SEO, ads, or conversion optimization in isolation. This project looks specifically at how AI assistants interpret and select ecommerce stores when users ask buying-related questions — and why many stores get ignored even when traffic and SEO look fine. Instead of telling store owners to “rewrite everything,” it focuses on a small set of missing signals (both content and technical) that make a store easier for AI systems to understand and trust: buyer context, product clarity, basic structured data, and decision-making cues. It’s practical, store-owner-friendly, and designed to work on top of what people already have, not replace their entire setup.