May 28, 2026 Frank Field

Agentic Commerce Is Here. What DTC Brands Actually Need to Know.

If you run a DTC brand and haven't heard the term "agentic commerce" yet... you will. Probably this week.

OpenAI launched ads in ChatGPT back in February. Shopify's Agentic Storefronts are live, meaning your products can show up inside ChatGPT, Microsoft Copilot, Google AI Mode, and Gemini. McKinsey is projecting up to $1 trillion in US agentic commerce revenue by 2030 (and $3-5 trillion globally). These aren't theoretical numbers anymore.

We run a retention marketing agency and our sister agency manages paid media across 100+ accounts. Between our clients, our brands, and the conversations we're having with founders every week, agentic commerce is the single biggest structural shift we've seen since iOS 14 gutted tracking in 2021.

But most of the coverage right now is focused on "wow, AI can sell things." Nobody's really talking about what happens after the AI makes the sale. That's what we care about, and that's what this post is about.

Is Anyone Actually Thinking About This?

Yes. Most of our clients are actively thinking about it and starting to invest in it. ChatGPT just launched ads to the public, so it's top of mind for a ton of brands right now more than ever.

The question "how do I show up in ChatGPT?" used to be a fringe conversation. Now it's coming up on almost every strategy call. Brands that weren't even running Google Ads last year are asking about Answer Engine Optimization (AEO) and how to make their products visible in AI-powered discovery.

To be clear, we don't specialize in doing AEO work. But every single brand should be thinking about it right now. The brands that start optimizing their product feeds, structured data, and content for AI discovery today are going to have a massive head start.

What Happens to Your Data When AI Makes the Sale

This is the part that should keep DTC marketers up at night.

When a customer buys through an AI agent instead of browsing your website, you lose a ton of the behavioral data you're used to having. No browsing history. No on-site pop-up opt-in. No post-purchase page upsell. A lot of the playbook that email and SMS program marketers have relied on for years just... doesn't apply.

But you don't lose everything. You still have referral data (knowing where the customer came from), and you still have their basic contact information. The real question is what you do with those two things.

The Agentic Commerce Data Gap infographic comparing traditional purchase data vs AI agent purchase data, showing what brands lose and how to fix it with engagement loops

It becomes absolutely crucial to get those customers engaging with your brand after the purchase. That means asking them questions during follow-ups. Package inserts with QR codes and calls to action. Newsletters designed to get responses, not just clicks. Post-purchase flows that are meant to learn about the customer, not just push the next product.

If you're just sending discounts and product launches to your list, you're not going to be able to segment these customers at all anymore. You won't know what they're interested in, what problems they're trying to solve, or what would bring them back. The brands that build engagement loops into their post-purchase experience are the ones that will thrive in an agentic world.

Do Customers Even Remember Your Brand?

Shopify says merchants remain the "merchant of record" and keep customer data from agentic purchases. That's good. But there's a legitimate question about whether the customer relationship is weaker when AI did the discovery.

Honestly? The customer relationship is weaker for most brands. But not because of AI. It's because most brands aren't connecting with the customer well after the purchase. Period.

Think about it this way. If I blew you away with incredible content after you bought from me, and your package arrived with a personal note, and you felt like you discovered a brand that actually gets you... you'd remember me. Regardless of whether ChatGPT recommended me or you found me scrolling Instagram at 2am.

The other thing to keep in mind: while AI is becoming the top of the funnel for some brands, it isn't for most. Not yet. A lot of people still regularly consume organic and paid content on TV, social media, podcasts, YouTube. Those types of content give people IDEAS about what to ask AI about.

Here's a real example. Some home remodeling DIY show on TV makes a viewer interested in wall murals. Then they see an ad for a wall mural company during that program. Now they're already familiar with the brand before they even open ChatGPT. When they ask AI about wall murals, that brand recognition carries weight.

This is exactly why most people are moving budgets up funnel right now. Brand awareness matters more, not less, in an AI-driven discovery world. But my gut tells me the "mid funnel" is going to come roaring back, with AI replacing traditional Google Ads as the primary mid-funnel channel. We wrote about this exact dynamic in our post on Meta CPMs last week.

AI Customer Service: Incredibly Powerful, Dangerously Misunderstood

Klaviyo just broadly released its Customer Agent that handles order edits, returns, and subscriptions automatically via chat, email, and WhatsApp. And look, I think you can absolutely handle customer service via AI. But you MUST put it through extensive training.

The overwhelming majority of people are only tapping into a small fraction of the power that already currently exists. I try to tell people about some of the incredible things we're doing with AI and they jump into ChatGPT, try it themselves lazily without any training or context, and go "eh, it doesn't work." That's the gap right now.

AI Customer Service Training Gap infographic showing how most brands lazily deploy AI vs how it should work with proper training and escalation paths

The truth is that AI can handle customer service. But no, you can't just turn on Klaviyo Customer Agent lazily and expect all of your customer service issues to dissolve overnight. It doesn't work like that.

The key is this: you need to start treating your AI like an employee.

Train it. Feed it your brand voice, your product details, your common objections, your return policies, your sizing guides. Encourage it to ask questions when it's uncertain. Build in escalation paths for complex issues. And then when the training is done, you have a 24/7 immediately responsive "employee" that handles work at a fraction of the cost of a human agent.

It's scary, but it's the truth. Right now, I'm betting on the fact that most people just aren't taking the initiative to set this up properly. The brands that invest the time to train their AI agents thoroughly will have a massive competitive advantage. The ones that half-ass it will give AI customer service a bad reputation and lose customers because of it.

AI Shopping Is Already a Real Channel. And Yes, Ads Are Coming.

AI shopping is already a real acquisition channel. Some stores optimized for AI search are reporting that over 30% of new orders are coming from AI assistants, with higher AOV and lower CAC than traditional channels. Those numbers will only grow.

And make no mistake, these platforms will launch ads. ChatGPT already did. These tech companies are too greedy not to monetize everything. It's the cycle of practically every tech platform ever.

MySpace launched without ads. Facebook launched without ads. TikTok launched without ads. Now Facebook is practically littered with them every other post. They launch a "free" technology (you give them your data), then they introduce ads. ChatGPT is literally no different.

I just believe these ads will replace the mid funnel. The traditional Google Search cycle of "person types keyword, clicks ad, lands on page, converts" is being disrupted by "person asks AI, AI recommends product, person checks out." The ad placement just shifts from the search results page to the AI conversation.

According to McKinsey's research, even under moderate scenarios, AI agents could mediate $3-5 trillion of global consumer commerce by 2030. That's not a niche channel. That's a fundamental shift in how commerce works.

What Should You Actually Do Right Now

If you're a DTC brand doing $2-10M in revenue, here's the playbook. And I want to be extremely clear about this: do NOT wait and see. Marketing is one of the fastest moving fields out there. If you wait, you will fall behind.

1. Deepen Your Customer Relationship

This is the foundation. If you don't have a post-purchase experience that makes customers remember you, nothing else on this list matters. Package inserts, personalized follow-ups, newsletters that ask questions and learn about your customers. Build a brand people actually want to hear from.

2. Learn AEO and Start Optimizing

Answer Engine Optimization is what SEO was in 2010. It's early, it's messy, and the brands that figure it out first will dominate. Make sure your product data is clean, your content answers real questions, and your site has proper schema markup. CXL has a solid primer on AEO if you want to go deeper.

3. Test ChatGPT Ads

They're live. They're new. The CPMs are probably reasonable right now because most brands haven't jumped in yet. Just like Facebook ads in 2013, the early adopters get the best economics before the auction gets crowded.

4. Reallocate Your Spend

Move budget up funnel (brand awareness on CTV, social, podcasts, YouTube) and down funnel (email, SMS, retention, customer experience). The mid funnel is being disrupted by AI, and the brands that invest in being known BEFORE someone asks AI for a recommendation will have a built-in advantage.

5. Clear the Red Tape

Probably the most important thing on this list. You need to clear any red tape, micromanaging, and cumbersome processes at your organization. The most important thing right now and going forward will be SPEED. What works today literally won't work a month or even a week from now.

The companies that will be the most successful will have a great brand with a great creative strategy, flexibility and speed to adapt, and a great relationship with the customer. That's where we come in.

Frequently Asked Questions

What is agentic commerce?

Agentic commerce is when AI agents discover, evaluate, compare, and purchase products on behalf of consumers. Instead of browsing websites manually, customers ask AI assistants like ChatGPT, Google Gemini, or Microsoft Copilot what they need, and the AI handles the research and even checkout. Shopify's Agentic Storefronts make products directly purchasable inside these AI platforms.

Is Shopify Agentic Storefronts available for all stores?

Yes, there's no plan-based limitation. If your store is public, has clean product data, accurate pricing and inventory, and is generally crawlable, you're eligible. You can enable it in your Shopify Admin under Sales Channels. Etsy merchants are already live as well.

How do I optimize my store for AI shopping agents?

Focus on clean, structured product data. Detailed product descriptions that answer real questions. Proper schema markup. Accurate inventory and pricing. Fast page load times. Think of it as making your product information as machine-readable and complete as possible. AI agents don't respond to marketing hype or brand storytelling. They respond to structured data and genuine product-market fit.

Does ChatGPT have ads now?

Yes. OpenAI began testing ads in ChatGPT in February 2026 for US users on the Free and Go tiers. Ads are clearly labeled as sponsored, don't influence ChatGPT's answers, and are matched to conversation topics. Plus, Pro, Business, Enterprise, and Education tiers don't see ads.

What is Answer Engine Optimization (AEO)?

AEO is the practice of optimizing your content so AI platforms and answer engines can directly surface your products or content as answers to user queries. It's similar to SEO but focused on being the answer AI gives, not just ranking in a list of links. Key tactics include structured data, FAQ content, clear product information, and schema markup.

Will AI replace Google Ads for ecommerce?

Not entirely, but AI is already disrupting the mid funnel that Google Search traditionally owned. As more consumers use AI for product discovery instead of typing keywords into Google, the traditional paid search model loses its grip. We expect AI-powered ad platforms (like ChatGPT ads) to eventually absorb a significant portion of the mid-funnel budget that currently goes to Google.

Sources

Want Help Building a Retention Strategy That Works in an AI-First World?

We help DTC brands build post-purchase experiences and email programs that turn one-time buyers into repeat customers, no matter how they found you.

Talk to Us