Shopping queries on ChatGPT doubled between January and June 2025, with the platform now fielding over 84 million shopping questions per week from U.S. consumers alone (Retail TouchPoints). Google's AI Overviews, Perplexity, and Amazon's Rufus assistant are competing to become the default product advisor, but when shoppers ask for recommendations, the same handful of large brands surface repeatedly. Small and mid-size retailers are largely absent from these conversations.
The structural reason is data inequality. AI engines pull product recommendations from sources with clean, well-organized data—detailed schema markup, consistent product attributes, rich review ecosystems, and machine-readable pricing (Retail TouchPoints). Large retailers like Amazon invest heavily in this infrastructure, using multiple LLMs to personalize product titles and descriptions at scale that independent merchants cannot replicate. A Shopify store or family-owned shop lacks the engineering team or budget to build that data pipeline. This creates a compounding effect: as AI consistently recommends the same brands, those brands accumulate more clicks, reviews, and structured data, making them even more likely to be recommended again. Research from Liquid Web found that 65% of retail businesses are taking no steps to prepare for AI-driven product discovery (Retail TouchPoints).
The urgency is acute. ChatGPT referral traffic to major retailer sites grew so rapidly in 2025 that the platform now represents over 8% of Amazon's weekly search volume, up from less than 1% a year earlier (Retail TouchPoints). The fix requires infrastructure that translates existing product catalogs into content AI systems can parse and recommend without asking small retailers to hire AI engineering teams. NBER research has shown that ecommerce expansion already reduces retail employment in affected counties by roughly 2.9%, with the sharpest losses among smaller and newer stores (Retail TouchPoints). If AI-driven shopping accelerates consolidation, the consequences extend to communities that depend on independent retail for jobs and economic circulation. Nearly 90% of retailers are now actively using or assessing AI, but for most small merchants, assessing still means watching from the sidelines (Retail TouchPoints).