There is already an idea here.
Amazon Optimization just has not been built yet.

AI console that turns brand inputs, Amazon's content rules and the OMMAX playbook into an upload-ready Amazon listing, then closes the loop by measuring published listings and relearning from the result. Named Amazon Optimization rather than Amazon Optimizer because the same loop extends to other marketplaces such as Walmart. It is one of the two OMMAX skinned copilot consoles — the pitch-demo family that renders a different client skin per URL path from one shared codebase, so a new client pitch is a config entry rather than a fork. Its sibling is Brand & Category Copilot: that one covers brand and category management, this one covers Amazon PDP optimization. On data honesty, the two halves differ. The product facts are real and public: the generic skin runs on the live public Amazon listing for Amazon Basics Multipurpose Copy Printer Paper, ASIN B01FV0F13E. The performance figures are illustrative: search ranks, uplift, confidence scores and revenue impact are modelled for the pitch, not measured. No live Amazon, seller-account or advertising systems are connected.

Someone registered this app, so the name and the address are theirs. The next step is building it and putting it online — until then, this page is what visitors see.