DTC Brand Visibility in AI Search: A 2026 Benchmark Report

TL;DR: AI-referred sessions on Shopify grew more than 8 times year over year, and AI-referred orders grew nearly 13 times, according to Shopify’s own Q1 2026 data. Those orders convert roughly 50 percent better than organic search on product pages and carry a 14 percent higher average order value. Amazon’s Alexa for Shopping (formerly Rufus) now surfaces products from outside brand websites directly inside Amazon search, expanding, not shrinking, the field a DTC brand competes in.

DTC brands have spent two decades optimizing for a checkout flow they controlled end to end. That control is loosening. Shopify’s own Q1 2026 merchant data shows AI-referred orders growing nearly 13 times year over year. Amazon’s AI shopping agent now pulls products from outside Amazon’s marketplace, including brand-owned DTC sites, directly into its own results. Both numbers point the same direction: a meaningful and fast-growing share of DTC discovery now runs through an AI intermediary a brand doesn’t own.

This is where DTC brand visibility in AI search actually stands, sourced directly from the platforms reporting the numbers.

Where to Jump In

• DTC Brand Visibility in AI Search: The Shopify Numbers
• What Amazon’s Alexa for Shopping Changes
• Why AI-Referred Traffic Converts Differently
• What Actually Predicts DTC Visibility
• How Pepper Does It
• FAQ

DTC Brand Visibility in AI Search: The Shopify Numbers

DTC brand visibility in AI search now shows up as a measurable line in Shopify’s own merchant data, not just anecdotal ChatGPT screenshots. Shopify’s Q1 2026 AI search insights report found AI referral sessions, from ChatGPT, Perplexity, Gemini, Copilot, Claude, and Grok combined, growing more than 8 times year over year across its merchant base. AI-referred orders grew even faster: nearly 13 times year over year over the same period.

The behavioral pattern is distinct too. More than half of AI-referred sessions land directly on a product page, compared to just 20 percent for organic search sessions. That’s a shopper who already decided what they want before arriving, not one starting a browsing session from a homepage or category page.

Takeaway: the AI-referred channel isn’t a rounding error anymore on Shopify’s own numbers. It’s one of the fastest-growing acquisition sources merchants have, and it behaves like high-intent traffic by default.

What Amazon’s Alexa for Shopping Changes

Amazon renamed Rufus to Alexa for Shopping in May 2026, and the rename came with real scale behind it. Amazon reported more than 300 million customers used the assistant during 2025, with monthly active users up 149 percent year over year and total interactions up 210 percent. The company has attributed close to $12 billion in incremental annualized sales to the assistant.

The structural change matters more than the scale for a DTC brand specifically. Amazon’s “Shop Direct” and “Buy for Me” capabilities now surface products from external brand websites, over 100 million products from more than 400,000 merchants, directly inside Amazon’s own search results. That cuts both ways. A DTC brand’s own site can now appear inside Amazon’s discovery surface even without an Amazon listing, but products that once competed only against other Amazon marketplace listings now compete against every DTC site Amazon’s assistant decides to surface.

Takeaway: Amazon’s AI shopping layer widened the competitive set for DTC brands in both directions. Being off Amazon no longer means being invisible inside Amazon’s own search results, and being on Amazon no longer means facing only Amazon-native competitors.

Why AI-Referred Traffic Converts Differently

Shopify’s data shows AI-referred visitors converting at nearly 50 percent higher rates than organic search visitors on product pages. It outperforms organic across 23 of 25 merchant categories, by an average of 56 percent within those categories. Orders attributed to AI-powered search carry a 14 percent higher average order value than orders from organic search.

Adobe’s broader Q1 2026 retail analysis backs the same direction at the market level. AI-referred traffic to US retail overall grew 393 percent year over year, converting 42 percent better than non-AI traffic and generating 37 percent more revenue per visit. Read together, both data sets describe the same underlying shopper: someone who has already done comparison research inside an AI conversation before ever landing on a brand’s site.

Takeaway: DTC brands shouldn’t judge an AI-referred visit against an old organic benchmark. It’s converting like a bottom-funnel visit because, functionally, it usually is one.

What Actually Predicts DTC Visibility

Ahrefs’ 75,000-brand study found branded web mentions correlating with AI visibility at 0.664, roughly three times stronger than backlinks at 0.218. Princeton’s foundational GEO research found that citing sources and adding statistics can lift visibility in generative engine responses by up to 40 percent. Neither finding is DTC-specific, but both explain why product pages full of vague marketing claims consistently underperform pages built around specific, sourced, verifiable product facts.

For Amazon’s surfaces specifically, the signal shifts further toward content completeness over pure review volume. A product with zero Amazon reviews can still be recommended if its listing content answers a buyer’s question with enough specific, verifiable detail, since Amazon’s own evaluation increasingly weighs listing quality alongside review signals.

Takeaway: the same discipline that earns citations anywhere else, specific claims, real sources, complete product detail, is what earns visibility inside Amazon’s AI layer too. There’s no separate DTC trick.

How Pepper Does It

Pepper’s platform runs Citation Analysis against a DTC brand’s own category. It shows exactly which product and category pages are already earning AI citations, and which competitor or marketplace listings are winning the gap instead. Domain Prompt Presence and Brand Visibility track separately. A brand can see whether AI engines are mentioning it by name without ever citing its actual product pages, the classic pattern behind strong awareness and weak conversion from AI traffic.

Pepper’s TVS Eurogrip case study shows the product-content discipline behind this working at scale. Google Merchant Center listings scaled from 20 to more than 120 products, alongside more than 200 non-brand category and buying-guide pages, producing a more than 3,000 percent increase in Shopping clicks and a 10x increase in website orders. Pepper’s agents handle producing and structuring product content at the pace a full catalog requires. From there, Pepper’s growth team decides which platform, Shopify’s own AI-referred channel, Amazon’s Alexa for Shopping, or the open web, is worth prioritizing first.

FAQ

How much has DTC brand visibility in AI search grown by 2026?

On Shopify’s own Q1 2026 data, AI-referred sessions grew more than 8 times year over year and AI-referred orders grew nearly 13 times year over year across its merchant base.

Do AI-referred shoppers actually convert better for DTC brands?

Yes. Shopify found AI-referred visitors converting roughly 50 percent higher than organic search on product pages, with a 14 percent higher average order value. Adobe’s broader retail data separately found AI-referred traffic converting 42 percent better than non-AI traffic.

How did Amazon’s Alexa for Shopping change DTC brand competition?

It expanded the competitive set in both directions. Amazon’s “Buy for Me” feature now surfaces products from external DTC websites inside Amazon’s own search results. Meanwhile, DTC brands that once competed only on their own domain now compete against every Amazon-native listing the assistant decides to show.

What actually predicts whether a DTC brand gets cited by AI search?

Branded web mentions correlate with AI visibility roughly three times more strongly than backlinks, per Ahrefs’ 75,000-brand study. Citing real sources with specific statistics can also lift AI visibility by up to 40 percent, per Princeton’s GEO research.

Does a DTC brand need Amazon reviews to be recommended by Amazon’s AI assistant?

Not exclusively. Amazon’s evaluation increasingly weighs listing content completeness alongside review volume, meaning a product with strong, specific, verifiable listing detail can be recommended even with few or no reviews.

See How Pepper Can Help

The Shopify and Amazon numbers above describe a real, fast-moving shift in how DTC brands get discovered, and most brands’ product content still isn’t built for it. See how Pepper’s platform works. Or read the full TVS Eurogrip case study to see how the platform, Pepper’s agents, and Pepper’s growth team turn this shift into real product and Shopping visibility.