By Steve Merrill, Founder of WRKNG Digital — October 19, 2026
The 2026 holiday season is showing us that shoppers now ask an AI assistant for gift ideas before they open a single store. More people are starting product research in ChatGPT, Perplexity, and Google AI Mode, and the stores with clean data and real reviews are the ones getting named.
I've watched this shift up close in dozens of Shopify audits this fall. The pattern is clear. The buyer journey starts in a chat box now, not a search bar.
Here are seven things this season is teaching us, and what each one means for your store.
1. Product research now starts inside AI assistants
Shoppers are opening ChatGPT or Perplexity and typing "best gift for a 10-year-old who loves science" before they touch a store. Adobe Analytics reported traffic from AI assistants to retail sites climbing fast into the 2026 season, up several hundred percent year over year. That's the top of the funnel moving into a chat window.
What it means for your Shopify store: the assistant picks the finalists before the shopper ever sees you. If the AI doesn't name you, you're not in the running. Concrete move: ask ChatGPT and Perplexity the exact questions your buyers ask, and write down which stores get named.
2. Agents compare price and availability before you do
AI agents now check price and stock across several stores in one shot. OpenAI's shopping features and Google Merchant Center both pull live product data to answer "where can I buy this today." An agent reads your feed and your competitor's feed in the same second.
What it means: a wrong price or a stale "in stock" tag quietly knocks you out. Concrete move: sync your inventory and pricing in real time, and confirm your feed shows accurate availability.
3. Reviews carry more weight than ever
Assistants lean on reviews to decide what to recommend. When a shopper asks for "the most reliable one," the AI reads star counts, review volume, and the actual words buyers used. Salesforce has flagged review signals as a growing input into AI-driven product suggestions this season.
What it means: thin review counts read as risk. I've seen this in audit after audit. Concrete move: send a post-purchase review request and get your best products past 50 honest reviews before December.
4. Brand mentions off your site drive the recommendation
AI doesn't only read your store. It reads what the rest of the web says about you. A mention in a gift guide, a Reddit thread, or a trusted roundup tells the assistant you're a real option. Your own product page can't vouch for you the way an outside page can.
What it means: off-site mentions are now part of your sales engine. Concrete move: pitch three gift guides this month and seed honest conversations where your buyers already hang out.
5. Speed of answer wins the sale
The store that gives a clean answer first gets picked. When an agent needs a spec, a size, or a return policy, it grabs whatever loads fast and reads clearly. Slow pages and buried details get passed over. Google's Core Web Vitals still matter, and now a machine is the one judging you.
What it means: your page has to answer the question in plain text, fast. Concrete move: put specs, sizing, shipping, and returns in readable text near the top, not inside an image or a slow tab.
6. Stores with clean product feeds get surfaced
Structured product data is the difference between showing up and vanishing. Assistants and agents read titles, prices, availability, and attributes straight from your feed and your schema markup. Shopify's product data tools and Google's Product structured data give you a clean way to hand that over.
What it means: messy titles and missing attributes make you unreadable to a machine. Concrete move: audit your top 20 products for complete titles, prices, GTINs, and Product schema this week.
7. Shoppers trust AI across platforms, not just one
One buyer might start in ChatGPT, double-check in Perplexity, then confirm in Google AI Mode. They don't pick a favorite assistant. They bounce between all three in a single afternoon of gift hunting.
What it means: showing up in one place isn't enough. Same story everywhere. Concrete move: test your brand across all three assistants and fix the data gaps that keep you invisible on any of them.
How We Chose This List
These seven come from two places. First, holiday shopping data from Adobe Analytics, Salesforce, Shopify, and OpenAI on how buyers are using AI this season. Second, what I'm seeing in live Shopify audits this fall.
I kept the list to observations that are already happening and that a store owner can act on before the holiday rush. No predictions. No hype. Just what the season is showing us and the next move for each one.
FAQ
Are people really shopping through AI this holiday season?
Yes. Adobe Analytics reported a sharp jump in retail traffic from AI assistants heading into the 2026 holiday season, and Salesforce projects a growing share of holiday orders shaped by AI chat. Most of that research starts in ChatGPT, Perplexity, or Google AI Mode before a shopper lands on a store.
How does an AI assistant decide which store to recommend?
It reads your product data, your reviews, and what other sites say about your brand. Clean feeds, in-stock status, real prices, and mentions on trusted pages make you easy to surface. Missing or messy data gets skipped.
What should a Shopify store fix first for AI shopping?
Start with your product feed. Accurate titles, prices, availability, and structured data let assistants and agents read your catalog without guessing. Then build reviews and off-site mentions.
Does this only matter for ChatGPT?
No. Shoppers move between ChatGPT, Perplexity, and Google AI Mode in the same week. You want to show up across all of them, which means your data and reputation have to stay consistent everywhere.
Want your Shopify store named by AI this holiday season? See how we get stores surfaced across ChatGPT, Perplexity, and Google AI Mode at WRKNG Digital's agentic commerce page.
