One of the brands we work with had a customer find them through ChatGPT last month. No ad, no search, no referral. The customer asked an AI where to buy oud perfume from a London brand, something distinctive, something giftable. The brand came up. Coincidence? Partially. But mostly it came down to clean product data, copy that answered a real question, and a consistent presence across the places AI agents actually look. It's still the exception for most DTC brands. The gap between those set up for it and those that aren't is growing.

What agentic shopping actually means

Not AI writing your product descriptions. Not a chatbot on your website. Agentic shopping is when a consumer delegates part or all of their buying research to an AI that acts on their behalf. They tell it what they need, it searches, compares, and shortlists. Sometimes it completes the purchase outright.

Klaviyo's 2026 AI Consumer Trends Report found that 78% of consumers have used AI for shopping or product research in the past three months. 41% have already bought something an AI recommended. More than half are using AI at least weekly to inform what they buy. This is not a niche behaviour that's staying niche.

The part that changes your strategy: in the agentic model, your marketing isn't reaching the consumer first. It's reaching the agent. And AI agents don't respond to creative the way people do.

Why most DTC brands are invisible to AI agents right now

When an AI is researching products on a shopper's behalf, it pulls from everywhere your brand exists online. Your product pages, your reviews, what editorial and creators have said about you, and how consistently all of that information lines up. Contradictions get flagged. Thin coverage gets deprioritised. Not as a penalty. Just because inconsistency reads as unreliability.

Research from Yext found that 86% of AI citations come from brand-controlled sources. Your website, your listings, your reviews. That foundation is what the agent builds from. If it's patchy, the agent builds a patchy picture of your brand and surfaces someone else instead.

We've seen this with brands whose Shopify store data and third-party listings don't match. Different pricing, inconsistent sizing information, returns policies that vary between what's on their own site and what aggregators are picking up. The kind of thing you'd never notice from the inside. AI agents flag it constantly.

Your customers are already in four different camps

Not everyone is using AI to shop in the same way. The Klaviyo report breaks consumers into four segments, and where your customers sit shapes what you need to prioritise.

AI Enthusiasts (26% of consumers): High trust, weekly users. 43% have made multiple AI-influenced purchases. This group is already buying through agentic channels. If you're not visible in those conversations, you've lost a quarter of your potential audience before they've even considered you.

AI Evaluators (43%): Use AI intentionally to shortlist, then click through to verify. The largest group by some margin. They'll find you through an AI recommendation, but your product pages, reviews, and brand story still have to close it.

AI Skeptics (10%): Use AI to research but don't trust the output uncritically. Social proof and off-site credibility carry the most weight here. They're checking what other people think, not just what the agent says.

AI Holdouts (21%): Minimal or no AI usage. Still reachable through traditional channels and still worth reaching. Don't gut your email programme or paid strategy to chase the agentic future if a fifth of your customers aren't there.

Enthusiasts and Evaluators combined are 69% of consumers. If your marketing only accounts for the channels they used three years ago, you're already working with a shrinking audience.

What to actually change

This doesn't require rebuilding your entire presence. It requires being deliberate about a handful of things most DTC brands haven't prioritised yet.

Clean up your product data: Structured data (JSON-LD, schema markup) tells AI agents exactly what your product is, who it's for, what it costs, and what makes it different. Without it, the agent guesses. This is a technical fix, not a copy fix, and it's probably the highest-leverage item on this list if you haven't done it.

Write copy that answers questions, not just describes products: Consumers prompting AI now use 8+ word queries loaded with personal context. "What moisturiser works for combination skin that reacts to SPF?" is the kind of question your product pages need to answer. "Hydrating formula with SPF 30" does not answer it.

Build your off-site presence deliberately: Reviews, editorial coverage, creator content. AI agents cross-verify across sources. A brand that exists mainly on its own website, without a meaningful presence elsewhere, looks thin. Genuine reviews on multiple platforms, earned press, credible creator content — all of these matter more in an agentic environment than they did in a standard search one.

Keep your owned channels strong: AI agents can surface your brand, but they cannot replace the relationship you build through email and SMS. If anything, as AI makes discovery more competitive, a direct line to your customers matters more. Don't let first-party data and email flows slide because there's a newer channel to think about. That's how you end up visible to the agent and invisible to the customer.

Don't let AI hollow out your voice: The Klaviyo report found 32% of consumers lose trust in a brand when they detect AI-generated content. Nearly 1 in 5 encounter low-quality AI content every week. Using AI to assist your content process is fine. Using it to replace the voice is not. The things that make consumers trust a brand are still human, and that doesn't look like it's changing.

Our honest take

We're not in the business of telling DTC founders to panic over every platform shift. But agentic shopping is not a trend that loses momentum. AI platforms are projected to account for $20.9 billion in retail spending in 2026, nearly four times what they drove the year before. Shopify is already building agentic storefronts to make brands discoverable through ChatGPT, Perplexity, and Copilot. The infrastructure is moving fast, and the brands we'd expect to win in it are the ones already treating their data quality, off-site presence, and owned channels as a real foundation.

Strong product, genuine reviews, a loyal email list, a consistent identity. Those are still what determine who wins long-term. What shifts is how new customers find you. If an AI agent is increasingly that first touchpoint, your job is to make sure that when it looks you up, it finds something worth recommending.

We work with DTC brands on the kind of audit that tells you where the gaps are. Start that conversation here.