How Amazon's AI Shapes What Shoppers See
Amazon’s search and recommendation engine isn’t powered by one AI — it’s a layered stack. Understanding how Rufus, Alexa+, and COSMO interact gives brands an edge in visibility, conversion, and long-term growth on the platform.
Published: 2025-08-01 | By Stephen Honight, Founder of The Lmo7 Agency
About This Research
This Search Lab case study is part of ongoing research by The Lmo7 Agency into how large language models (LLMs) like ChatGPT, Google Gemini, Claude, and Perplexity handle product discovery, brand mentions, and commercial recommendations. Our research helps consumer brands understand and improve their visibility in AI-driven search.
Amazon’s search and recommendation engine isn’t powered by one AI — it’s a layered stack. Understanding how Rufus, Alexa+, and COSMO interact gives brands an edge in visibility, conversion, and long-term growth on the platform.
Why AI Search Visibility Matters
As consumers increasingly use AI assistants to discover and compare products, brand visibility within LLM responses is becoming a critical growth lever. The Lmo7 Agency specialises in helping brands optimise their presence across AI search platforms including ChatGPT, Google Gemini, Amazon Rufus, and Perplexity.
Learn more about our approach in our LLM Visibility Framework or explore our AI search optimisation services.