For years, ecommerce teams have focused on getting shoppers from Google, social media, email, and paid ads to their websites.
Now there is another path to the checkout: AI.
A shopper might ask ChatGPT to find the best running shoes for flat feet, ask Gemini to compare two coffee makers, or use an AI assistant to narrow down a list of holiday gifts. The interesting part is what happens next.
According to Adobe Digital Insights, AI-referred visitors to U.S. retail websites converted 42% better than non-AI traffic in March 2026. These shoppers also spent 48% longer on websites and viewed 13% more pages per visit.
That makes AI discovery especially important heading into Q4.
The opportunity is not simply to get more AI traffic. It is to make sure your products are the ones AI systems can understand, trust, and recommend.
The Numbers Are Moving Fast
The growth in AI-referred traffic is hard to ignore.
Adobe reported that traffic from AI sources to U.S. retail websites increased 393% year over year in Q1 2026. During the 2025 holiday season, AI-referred traffic was up an even more dramatic 693.4% compared with the previous holiday season.
And this isn't just a traffic story.
During the 2025 holiday season, Adobe found that AI referrals converted 31% better than other traffic sources. By March 2026, that advantage had climbed to 42%.
For brands preparing their holiday strategy, that changes the question.
Instead of asking, "How do we get more visitors?" you should also be asking, "Can AI recommend us when shoppers ask for products like ours?"
That is where an AI Ecommerce Platform and stronger Global Ecommerce Expansion strategy can start working together.
Make Your Product Data Easy for AI to Understand
AI systems cannot recommend what they cannot clearly understand.
Your product pages should communicate the basics without making shoppers or AI models dig for them: what the product is, who it is for, its key features, dimensions, compatibility, materials, pricing, availability, and meaningful differences from competing products.
Think beyond keyword stuffing.
If your product is a waterproof hiking jacket, for example, simply repeating "waterproof hiking jacket" throughout the page is not enough. AI needs useful context. What temperature range is it designed for? Is it suitable for heavy rain? How does the fit run? What makes it different from similar jackets?
The more clearly your content answers real shopping questions, the easier it becomes for AI assistants to understand where your product fits.
Your Content Needs to Answer the Questions Shoppers Actually Ask
This is where many ecommerce brands still have work to do before Q4.
Traditional product pages are often written around specifications and keywords. AI-driven discovery is much more conversational.
Shoppers ask things like:
- "What's the best carry-on for a three-day business trip?"
- "Which air fryer is easiest to clean?"
- "What should I buy for someone who loves outdoor cooking?"
- "Is this laptop good for video editing?"
Your website should have content that helps answer those questions.
Build comparison pages, buying guides, FAQs, use-case content, product education, and detailed descriptions around the problems your customers are trying to solve.
This is also where Marketplace Management Services and broader Global Ecommerce Expansion efforts can become more valuable. Consistent product information across your website and marketplaces gives shoppers, search engines, and AI systems fewer conflicting signals to interpret.
Don't Forget Your Marketplace Listings
AI discovery does not stop at your website.
Your marketplace listings can also influence how products are discovered and evaluated. Titles, bullet points, descriptions, attributes, reviews, images, availability, and category placement all contribute to the information ecosystem surrounding your products.
That means your Q4 preparation should include an audit of your major marketplace listings.
Look for missing attributes. Fix inconsistent specifications. Improve product descriptions. Make sure images clearly demonstrate the product. Check whether your titles and bullets explain the actual customer benefit rather than simply listing features.
For brands selling across multiple marketplaces, an AI Ecommerce Platform can also help create a more consistent product-information foundation.
Agentic Commerce Could Make This Even Bigger
There is another reason to prepare now: AI is moving beyond recommendations.
Juniper Research estimates that agentic commerce will generate $8 billion in transaction value in 2026. Its research describes agentic commerce as a rapidly emerging market in which AI systems can increasingly participate in purchasing processes.
Juniper also estimates that global agentic commerce transactions could reach around 120 billion annually by 2031, compared with approximately 620 million in 2026.
So the long-term opportunity is bigger than getting a shopper to click an AI-generated recommendation.
The next evolution is having AI understand your catalog well enough to help shoppers evaluate products, compare options, and potentially facilitate purchases.
For brands pursuing Global Ecommerce Expansion, this means product data, content quality, marketplace consistency, and technical readiness are becoming part of the same conversation.
Your Q4 Checklist Should Start Before Q4
If holiday preparation is already underway, add AI discovery to the checklist.
Audit your top products. Review product titles and descriptions. Fill gaps in attributes. Build useful comparison and buying-guide content. Make your product information consistent across channels. Check how your brand and products appear when you ask major AI assistants common shopping questions.
Most importantly, don't treat AI as another advertising channel that you can switch on later.
The brands that benefit most from AI-referred shoppers will likely be the ones that make their products easy for AI to understand before the holiday rush arrives.