Holiday shopping has traditionally started with a search bar. This year, many shoppers are starting with a question.
Instead of typing short phrases into Google or retailer sites, consumers are increasingly turning to generative AI tools like ChatGPT, Gemini, and Perplexity to help them decide what to buy and who to buy it for. Salesforce projects that AI will influence approximately $263 billion in global online holiday sales this year, accounting for about 21 percent of total holiday e-commerce.
Adobe data reinforces the scale of the shift. Traffic to U.S. retail sites from generative AI platforms surged sharply between early November and early December. Those visits converted at higher rates than traditional traffic sources, with shoppers spending more time on site and generating more revenue per visit.
For Walmart, this change aligns closely with its broader digital strategy. For suppliers and sellers, it introduces a new layer of discovery that increasingly shapes which products shoppers ever encounter.
For years, digital commerce optimization centered on SEO. Products won visibility by matching keywords and securing paid placement across search and retail media.
AI-driven shopping changes that dynamic. Shoppers now describe their needs in full sentences, often adding context about budget, preferences, values, or the person they are shopping for. Instead of asking for a category, they ask for solutions.
AI platforms respond by evaluating which products best address those needs. They draw on structured product data, customer reviews, credible third-party coverage, and clear descriptions of use cases. Outside of retailer-owned environments, paid placement plays little role in how recommendations are generated.
For Walmart suppliers and sellers, this means product visibility is increasingly shaped before a shopper ever reaches Walmart’s site or app. Products that rely solely on keyword tactics or thin descriptions risk being filtered out early in the journey.
Walmart is addressing this shift on two fronts.
Externally, the retailer announced a partnership with OpenAI that will allow shoppers to discover and purchase Walmart products directly within ChatGPT. While Walmart has not shared a public launch timeline, the move positions the company to remain discoverable as shopping activity expands beyond traditional search.
Internally, Walmart continues to invest in its AI-powered shopping assistant, Sparky. Available within the Walmart app, Sparky helps shoppers ask questions, receive recommendations, and build lists for specific occasions. Walmart leadership has identified agentic AI as a growth driver for e-commerce, with a focus on saving time and simplifying shopping.
For suppliers, these initiatives signal that Walmart is embedding AI into how shoppers find products both on and off its owned platforms. Winning visibility increasingly depends on how well product content performs in these environments.
AI-driven discovery does not replace Walmart’s digital shelf, but it influences which products shoppers encounter once they arrive.
Retailers and brands report that shoppers coming from AI-assisted journeys are often more decisive. They arrive with clearer intent and stronger expectations that products will match the scenario they described earlier.
This elevates the importance of product detail pages, reviews, and rich descriptions. Brands that clearly explain who a product is for, what problem it solves, and how it fits into a real-world use case are better positioned to convert this traffic.
Several brands have shared that they are restructuring product pages to reflect how shoppers talk about their needs. Instead of focusing only on attributes like size or material, they are adding contextual language such as “ideal for small spaces,” “great for first-time parents,” or “designed for sensitive skin.”
For Walmart suppliers, this approach supports both AI-driven discovery and on-site performance.
Retail media remains an important lever within Walmart’s ecosystem, particularly during peak shopping periods. Sponsored placements and onsite ads continue to influence conversion once shoppers are actively browsing.
What is changing is how demand is formed. AI tools increasingly shape consideration before a shopper opens the Walmart app. By the time retail media comes into play, many shoppers have already narrowed their options.
This raises the bar for alignment between media strategy and product content. Paid visibility is most effective when it reinforces a value proposition that shoppers already understand.
Despite rapid adoption, AI shopping is not universally preferred. Some consumers find recommendations repetitive or too generic. Others still value browsing and visual discovery.
Retailers acknowledge these limitations. Walmart and others describe their AI tools as learning systems that improve through ongoing interaction. Today, AI performs best when shoppers have a defined need or are researching specific scenarios.
For suppliers and sellers, this reinforces the importance of balance. AI optimization should complement strong fundamentals like pricing, availability, reviews, and merchandising.
AI is reshaping how shoppers express intent and how retailers respond. Walmart’s strategy reflects that reality, with investments aimed at staying visible wherever shoppers start their journey.
For Walmart suppliers and sellers, the takeaway is practical. Visibility increasingly depends on clarity. Products that clearly answer real shopper questions across channels are more likely to surface in AI-driven discovery and perform once shoppers reach Walmart’s digital shelf.
Holiday shopping remains competitive, but the starting point has changed. In an AI-assisted world, brands that show up early with clear, useful information are better positioned to earn consideration and conversion.