How AI Shopping Agents Compare Products: The Content That Gets Cited and the Content That Gets Ignored
AI shopping agents compare products by extracting structured attributes like price, specifications, ratings, and availability from HTML tables, schema markup, and clearly formatted spec sections. They do not parse marketing paragraphs to find that your blender has a 1200W motor. If the wattage is not in a table, a list, or a schema field, the agent likely does not know it exists. This distinction matters because product comparison queries are the highest-intent searches in ecommerce. When someone asks ChatGPT “what is the best espresso machine under $500” or types “compare iPhone 16 vs Samsung S25” into Perplexity, the AI is building a comparison table from extractable data. Products with structured, machine-readable content win the citation. Products with prose-heavy descriptions lose. ...