EcomIQX

EcomIQX is an AI-powered platform for ecommerce merchants who need to clean up and improve their product listings. It scans your entire catalog — whether you import a feed, connect Shopify or WooCommerce, or push data via API — and gives each product a health score based on title quality, description completeness, image coverage, and SEO signals. The tool surfaces critical issues first, so you know exactly which products are costing you traffic and conversions. Once you see the problems, EcomIQX helps you fix them at scale. You define your brand voice once — tone, vocabulary, forbidden terms — and the AI rewrites product descriptions in batches. Nothing goes live without your approval; changes sit in a review queue until you say yes. The platform also handles localization: instead of literal translation, it adapts content for local search intent in multiple languages, with one-click rollback if needed. For merchants preparing for the next wave of search, EcomIQX includes Generative Engine Optimization (GEO) scoring to make products more likely to appear in ChatGPT, Perplexity, and Google AI Overviews. You can run holdout experiments to measure real revenue lift before rolling out changes across your catalog. An AI Copilot lets you query your catalog, Google Search Console, Merchant Center, and keyword data in natural language — cross-reference metrics and trigger fixes without switching tabs. Goal-driven agents can autonomously optimize titles or keywords, learning from attribution data to improve over time. EcomIQX is built for ecommerce teams with large catalogs, multi-language stores, or heavy reliance on Google Shopping. It's especially useful for SEO specialists who want to systematically improve product rankings, content managers who need to scale description writing without losing brand consistency, and growth teams that want to test content changes before committing. If your product catalog has hundreds of listings with vague titles or thin descriptions, this tool gives you a clear path to fix them.