CatMap AI - Fix Google Merchant Center errors with AI taxonomy mapping.

Hey 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗛𝘂𝗻𝘁! 👋 I’m K, the maker of 𝗖𝗮𝘁𝗠𝗮𝗽. If you work in e-commerce or PPC, you know that Taxonomy Mapping is the unsexiest, most painful part of setting up a Google Shopping feed. Existing solutions usually rely on "Feed Rules" (RegEx) which are brittle, or manual spreadsheet work which is slow. We tried using AI to fix this, but we hit two massive walls:   𝟭. 𝗥𝗮𝘁𝗲 𝗟𝗶𝗺𝗶𝘁𝘀: Sending 10k rows to an LLM API usually crashes the script instantly due to RPM limits.   𝟮. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: Standard Feed Rules are blind. A rule looking for the keyword "Apple" will map "Apple MacBook" and "Apple Juice" to the same category. One is Electronics, the other is Grocery. 𝗦𝗼 𝘄𝗲 𝗯𝘂𝗶𝗹𝘁 𝗖𝗮𝘁𝗠𝗮𝗽. It’s an API-first engine designed to process massive CSVs at scale (450+ RPM) without hitting rate limits. It reads the 𝗳𝘂𝗹𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗰𝗼𝗻𝘁𝗲𝘅𝘁—distinguishing between the fruit and the tech brand—and forces strict Google Taxonomy IDs so your products get approved. 𝗬𝗼𝘂 𝗰𝗮𝗻 𝘁𝗿𝘆 𝘁𝗵𝗲 𝗹𝗶𝘃𝗲 𝗱𝗲𝗺𝗼 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄 (𝗡𝗼 𝘀𝗶𝗴𝗻𝘂𝗽/𝗹𝗼𝗴𝗶𝗻 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱): We added a "One-Click Demo" button so you can test it on your own messy data instantly. I’d love to hear your feedback on the accuracy! 😺 — The CatMap Team