Stackline surveyed 1,500 shoppers before and after Prime Day 2026, then published what they found. Most of it confirms what experienced sellers already know: apparel led browsing, electronics over-delivered on deal satisfaction, and about a third of shoppers spent more than they planned. But the AI usage section is where things get interesting for brands thinking about content and discovery strategy.
The short version: 58% of shoppers said before the event that they planned to use AI tools to help them shop. After the event, 36% said they had. That gap is worth noting. Intent outpaced follow-through by 22 points, which suggests that AI-assisted shopping is still building toward a habit rather than being one.
How Shoppers Used AI When They Used It
Among the 36% who used AI during Prime Day, the top use case was price comparison at 56%. Second was checking price history at 42%. Comparing products across retailers came in at 29%. Summarizing reviews and general product research each landed at 23%.
That's a useful breakdown for brands to sit with. The dominant behavior isn't "ask AI what to buy." It's "use AI to validate a deal." Shoppers are coming to AI with a product already in mind and asking it to confirm they're not overpaying. That changes what kind of content helps you. Being surfaced early in discovery still matters, but deal transparency, price history clarity, and review quality are what close the evaluation.
Price history visibility is particularly worth noting because it's one of the factors sellers have limited direct control over. A brand that has been price-stable tends to show a clean history. A brand that spikes and discounts frequently can look worse at the moment it's trying to look best.
Alexa for Shopping Versus the Field
Among the specific platforms shoppers used, ChatGPT led at 14%, with Alexa for Shopping close behind at 13%, and Google Gemini at 11%. ChatGPT being the top AI shopping tool during an Amazon event is a sentence that probably didn't make it into the Amazon internal memo.
What's more significant for brand sellers is the 50% figure: half of all shoppers in the survey had already tried Alexa for Shopping before Prime Day in some form. That's a much higher adoption baseline than most sellers assume. Alexa for Shopping isn't a niche feature used by enthusiasts. It's something a meaningful share of Prime members has at least touched.
Among the 13% who used Alexa for Shopping specifically during Prime Day, 46% viewed price history, 37% selected search results to compare, about a third reviewed AI-generated summaries on search results or product pages, and 32% generated a personal shopping guide. These aren't passive behaviors. Shoppers using Alexa for Shopping are doing real comparison work inside the tool.
What This Means for Product Content
Stackline's own takeaway on AI is direct: brands best positioned to show up in AI-generated summaries and recommendations are investing in structured, descriptive product content that directly answers likely shopper questions. That's consistent with everything we've seen from the way Alexa for Shopping and similar tools construct their responses. Vague benefit language and aspirational copy don't get summarized well. Specific, factual, question-answering content does.
The review summary behavior is worth calling out separately. A third of Alexa for Shopping users reviewed AI-generated summaries of product reviews. That means Amazon is compressing your review set into a paragraph and presenting it as part of the shopping experience.
What that paragraph says is downstream of what your reviews say, which is downstream of whether your product delivers on what your listing promises. There's no shortcut there.
If you want to think about how your content is positioned for AI-mediated shopping, the content optimization for AI search work we do at Parker-Lambert starts exactly there: structured product content that answers shopper questions clearly, across the formats that matter for both search and AI discovery.
The Cross-Retailer Story
Two-thirds of Prime Day shoppers also browsed competing retailer events. Walmart's browser share grew year over year, from 43% to 46%. That's not a crisis for Amazon, but it's a reminder that a shopper who finds a better deal or a clearer product page at a second retailer converts there instead.
Stackline's takeaway on this is blunt: pricing and content consistency matter as much during the event as before it. If your Amazon listing is optimized and your presence elsewhere isn't, you're handing part of a motivated, deal-ready audience to someone else.
The spending data rounds out the picture. Forty-seven percent of shoppers spent about what they planned, 37% spent more, and only 17% came in under budget. A third entered the week with no spending ceiling at all.
These are not cautious shoppers. They're ready to buy. The question for brands is whether the product page they land on makes the decision easy or complicated.
If you want to talk through how your listing content, pricing strategy, and AI presence hold up ahead of the next major shopping event, schedule a call with Parker-Lambert and we can dig into what the data suggests for your specific catalog.