AI is no longer something ecommerce brands prepare for. It's something their customers are already using to find, compare, and buy products. The brands moving first are positioning themselves inside entirely new discovery channels.
The shift that's already underway
For years, the customer journey followed a predictable arc. Someone searched, clicked an ad or browsed a category, landed on your site, and either converted or didn't. The variables were familiar: creative, targeting, UX, and price.
That arc is breaking.
Nearly two-thirds of consumers now expect to use AI assistants as part of their shopping journey. Tools like ChatGPT, Google's AI Mode, Copilot, and the Gemini app are becoming the first port of call.
Not your site. Not a search results page.
Shoppers are asking these tools to find products, compare options, and decide what to buy before they ever click through to a brand.
This is agentic commerce: a shift where AI doesn't just surface information, it takes action. It discovers, recommends, personalises, engages, and increasingly transacts on behalf of the shopper.
The same intelligence is also reshaping how merchants run operations. AI agents are moving from passive dashboards to active participants in marketing, merchandising, and customer support.
Two sides of the same shift. Both are happening now.
What's actually changing and what it means for merchants
1. Discovery is moving into AI conversations
Shoppers are starting their product search inside AI tools, not search engines or brand sites. For brands not showing up in those moments, there's a layer of high-intent traffic they're completely invisible to.
Shopify's Agentic Storefronts let merchants' products appear directly inside major AI platforms, managed from the Shopify Admin with no new integrations. Being discoverable in AI-led conversations while most brands aren't is a compounding advantage.
What this means for your brand:
- Product discovery is increasingly starting inside ChatGPT, Claude, Google AI Mode, Copilot, and Gemini before a shopper ever visits a brand's site
- Shopify's Agentic Storefronts puts your products into those moments automatically, with orders flowing through the existing admin as normal
- Most brands aren't in this channel yet. Early presence compounds
2. Personalisation without intent is dead weight
69% of shoppers who tried an AI assistant gave up and searched elsewhere after receiving irrelevant product suggestions. The gap between a frustrating AI experience and a converting one isn't natural language capability. It's context.
One of our partners, Nosto, is leading the way. Nosto's Large Intent Model is trained on billions of behavioural and transactional data points and layers real intent signals onto AI-powered conversations.
In A/B testing, it delivered up to 2x higher conversion rates compared to standard AI assistant responses. The quality of your personalisation layer is becoming a far bigger competitive advantage.
What this means for your brand:
- Irrelevant AI recommendations don't just disappoint, they actively push shoppers to competitors (exits are high)
- Intent signals, what a shopper has browsed, bought, and is likely to want next, are what make AI recommendations convert
- Generic personalisation is a conversion problem that will only get more visible as shopper expectations shift
- 2x higher conversion rates in A/B testing is the gap between intent-driven and intent-blind AI experiences
3. Your CRM is getting a serious upgrade
Another one of our partners, Klaviyo, is at the centre of this shift. They're rolling out AI agents designed to become part of day-to-day ecommerce operations.
Marketing agents work behind the scenes, building campaigns, adapting targeting and timing as signals shift, and keeping messaging on-brand without manual intervention at every step.
Customer agents work directly with shoppers, handling order tracking, answering product queries before drop-off, and supporting post-purchase without a queue. These aren't pilot programmes. The teams running them have a structural efficiency advantage over those that aren't.
What this means for your brand:
- Marketing agents learn your brand voice and catalogue, then return a full campaign plan with drafts in minutes
- Flows, campaigns, and sign-up forms are written, designed, and ready to launch. Your team reviews and approves
- Every output is checked against your brand guidelines and past performance before it goes anywhere
- Customer agents resolve order tracking queries instantly, without your team getting bogged down in repetitive support
- Sizing, fit, and product questions get answered before a shopper drops off
- Complex issues still route to your human team, with full context already attached
4. Your tech stack is becoming a network of collaborating agents
The next step beyond individual AI tools is interoperability.
Platforms are increasingly able to share context and act together across your entire stack, which changes what a small team can execute.
Through Nosto's Huginn agent, they inject personalised product recommendations directly into Klaviyo newsletters. Through Shopify's Sidekick, they edit Nosto recommendations from inside the Shopify Admin without touching code. That's the direction this is heading.
What this means for your brand:
- AI agents across Shopify, Nosto, and Klaviyo can now communicate, share context, and act together across your stack
- Emerging standards like Model Context Protocol (MCP) are making cross-platform agent collaboration the new baseline
- Editing personalisation recommendations, injecting product blocks into emails, updating campaigns: all without a developer
Where to focus first
You don't need to rebuild your stack to get moving on this. The brands already running agentic commerce are doing it on existing platforms with existing teams. Here’s where to focus right now:
1. Audit where your products are actually discoverable. Most merchants have no visibility into whether their products are surfacing in AI-led conversations. Start there. If you're on Shopify, Agentic Storefronts is the immediate lever to pull.
2. Identify the highest-volume, most repetitive tasks your team does every week. Campaign builds, flow setup, order query handling. These are the areas where AI agents deliver ROI fastest and free your team up for the work that actually requires human judgment.
The window is open. It won't stay that way.
Agentic commerce isn't a future-state ambition. It's live, it's working, and the brands moving now are building advantages that compound. Consumer appetite is real. The technology is ready. Shopify's Agentic Storefronts, Nosto's LIM and Huginn, Klaviyo's marketing and customer agents. All of it is available to merchants today.
The question isn't whether to engage with this shift. It's whether you move ahead of it or spend next year catching up.
Want to understand where your store sits in this and where the highest-impact moves are for your setup? Talk to us today.
