Hey Product Hunt 👋 We build catalog content tooling for e-commerce teams, and while validating our AI-visibility feature we ran a real test: 10 buying prompts ("best foundation for sensitive skin" and the like, in Swedish) against Google AI Overviews and Gemini, for a large Nordic beauty retailer and its competitors. The result surprised us: for most prompts, nobody in the category got cited. The AI answers were there — the retailers just weren't in them. Their product pages were written for humans and old-school Google, not for engines that need clean structure, specific attributes, and answerable descriptions. So we took our internal scoring engine and made it a free tool. Paste your Google Shopping feed URL or upload a CSV, and in about 2 minutes you get a graded report on every product: content health, SEO, keyword coverage, structured data, and AI-readiness - with the specific products dragging your score down. No account, no card. (We ask for an email to send the report — catalog crawls take a couple of minutes, so we can't show it inline.) This audit is the front door of the full EcomIQX platform, which closes the loop: AI rewrites driven by each product's own keywords, localization into 15 languages, tracking whether AI assistants actually cite your products vs. competitors, and revenue attribution for every content change against a matched control group. Would love brutal feedback, especially from anyone running catalogs of 1,000+ SKUs. Ask me anything about how the scoring works — happy to go deep on the methodology.

EcomIQX

Score your catalog, fix it with AI, measure the revenue

Score your catalog, fix it with AI, measure the revenue