This podcast episode explores the underground nature of DeepM.AI and their expertise in leveraging machine learning and artificial intelligence to optimize search rankings on Amazon. DeepM.AI provides brands with situational awareness and detailed analysis, helping them spike up to page one and maintain a permanent search rank. The closed beta testing phase focuses on the Amazon US marketplace and sellers with brand-registered seller central accounts and multiple products. The importance of monitoring search query performance, understanding market gaps, and focusing on search sales are also discussed. Machine learning and language models are highlighted as essential tools for data analysis, and the significance of split testing and the impact it can have on sales is emphasized. Finally, an advertisement for the Seller Basics service is featured, offering support and protection for Amazon sellers.
