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![How to Optimize Your Amazon Listings for AI Search With Jon Tilley [Ep.219]](https://static.libsyn.com/p/assets/d/f/f/9/dff916f5d4352fe2d959afa2a1bf1c87/ab6765630000ba8ab1b5ac057c27e34a29c027ed-20260818-eom56j9scy.jpg)
Amazon sellers have spent years optimizing for keywords and traditional search. That is still important, but the way customers discover products on Amazon is changing quickly.
In this episode of The Opportunity Podcast, we sit down with Jon Tilley, founder of ZonGuru, to unpack Amazon's latest AI developments and what they mean for sellers.
Amazon has moved away from Rufus and is doubling down on Alexa for Shopping, alongside its newer Cosmo algorithm. Instead of simply returning search results, Amazon can now use conversations, customer profiles, product data, and recommendations to help shoppers make decisions.
For sellers, this creates a new layer of optimization.
We discuss why keywords still matter, but why sellers also need to think about the questions customers ask, how their products are used, who they are best suited for, and which products they complement.
Jon also explains why simply asking ChatGPT or Claude to rewrite a listing is not enough, how first-party Amazon data can improve AI optimization, and why sellers need to balance AI readability with human conversion.
We also look at the wider implications of AI for Amazon sellers, agencies, and omnichannel growth.
If you want to understand where Amazon is heading and how to adapt your business before these changes become mainstream, this episode is worth a listen.
Topics Discussed in this episode:Sit back, grab a coffee, and learn how to improve your AI visibility on Amazon.