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Amazon is exploring a hybrid search combining AI summaries with product listings. This is a strategic move to engage customers earlier in the buying journey—the "product discovery" phase—a role traditionally dominated by Google. This could increase user time on site, ad revenue, and direct purchases, effectively moving "up the funnel."
Consumer search behavior is shifting from browsers to AI assistants. E-commerce brands must adapt by treating agents like ChatGPT as new traffic sources. This requires making product data discoverable via APIs to enable seamless research and purchasing directly within conversational AI platforms.
Walmart's AI strategy is moving beyond simple search optimization. By using its AI assistant, Sparky, to understand customer intent, Walmart is proactively guiding users to discover new products. This shift to 'intent-driven commerce' increases basket size and frequency, representing a fundamental change in how large retailers drive growth and digital engagement.
Consumers use AI tools like ChatGPT for product discovery, receiving relevant brand recommendations they were previously unaware of. This lengthens the consideration phase, creating a new battleground for marketers in the middle of the funnel.
AI search is the new overpowered marketing channel, with traffic converting up to 17x higher than Google. To get featured, invest heavily in comprehensive "alternatives to [competitor]" and "[your product] vs [competitor]" pages, as these are the bottom-funnel queries AI models cite most often.
Amazon's potential commerce partnership with OpenAI is fraught with risk. Allowing ChatGPT to become the starting point for product searches threatens Amazon's highly profitable on-site advertising revenue, even if Amazon gains referral traffic. It's a classic battle to avoid being aggregated by another platform.
Salesforce data shows that AI searches are nine times more likely to result in a sale compared to social media traffic. This stark difference highlights that consumers using AI for shopping exhibit significantly higher purchase intent, establishing AI-driven search as a superior conversion channel for e-commerce.
Despite the rise of AI, Google still handles over 94% of searches. However, marketers must focus on LLM visibility, as customers sourced from AI search engines convert at a 4.4 times higher rate. This makes it a critical, complementary channel, not a replacement for traditional SEO.
Unlike Google, which primarily handles discovery, AI models engage users in a Q&A process that guides them through consideration. This means when a user clicks through from an AI search, they are highly qualified and ready to convert, explaining the significantly higher conversion rates seen from this traffic source.
Users often begin research with AI tools like ChatGPT for broad questions. When ready to purchase, nearly half of them then move to Google to find specific providers. This creates a two-step customer journey where AI generates awareness and Google closes the sale, requiring optimization for both platforms.
AI will dominate product discovery, forcing brands to either pay for sponsored ads in LLMs or earn organic placement through genuine product quality and authentic reviews, as AI aggregates too much data to be easily gamed.