AI is reshaping how people shop online. Search isn’t just about keywords anymore. Tools like Google’s AI Overviews, ChatGPT shopping features, and Perplexity product recommendations analyze huge amounts of product data to decide what to show users. That shift means e-commerce brands need to rethink the way their product information is structured. If you want visibility in these AI-powered shopping journeys, your product data has to be clean, complete, and enriched. AI models lean heavily on structured feeds, trusted marketplaces, and high-quality product attributes to understand exactly what you sell. That’s why AI search for e-commerce matters right now. Brands that optimize their feeds will show up in conversational queries, comparison results, and visual search responses. Brands that don’t will struggle to appear even if they’ve done traditional SEO well. This foundation will help you give AI systems the clarity they need to recommend your products with confidence. Key Takeaways AI search engines rely heavily on structured product feed data instead of just site content to understand and surface products. Clean, complete feeds lead to higher visibility across Google Shopping, ChatGPT shopping research, Perplexity results, and other LLMs. Strong titles, enriched attributes, and quality images make it easier for AI systems to match your products to real user needs. Brands with clear, structured product data will outperform competitors in AI-driven shopping experiences. How AI Search Is Reshaping Product Discovery AI is changing the way customers find products long before they reach your website. Instead of typing traditional keywords, shoppers now…