We rebuild product data so AI assistants can read it
Shoppers ask ChatGPT, Perplexity, and Google what to buy, and those answers are assembled from whatever a store's catalog makes legible. Most catalogs make an assistant guess. Store AEO does the unglamorous work that stops it having to: attributes, descriptions, and structured data, listing by listing.
Melvin spent over five years at Shopify, three of them as a software engineer on the Custom Data team. He saw how product data is modelled inside the platform, where it goes thin, and how much of it never reaches a form anything outside can read. AI assistants now answer shopping questions from exactly that data.
Every engagement starts with the same question your buyers are already asking an assistant, and the answer it gives today. From there the work is concrete: find the listings that can't be read, rewrite them so they can, and keep them that way as assistants re-crawl.
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