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What Is Agentic Commerce? A Guide to the New AI Shopping Model

annie-laukaitis-sm
Written by
Annie Laukaitis

17/04/2026

AI shopping model interface showing boot product cards and a glowing "Instant Buy" checkout button.

Key highlights

  • Agentic commerce is reshaping how shoppers discover, evaluate, and buy, with AI now playing an active role at every stage of the journey.

  • Discovery increasingly begins inside AI tools like ChatGPT and Google Gemini, often before a shopper ever reaches a brand's website.

  • Nine distinct AI solution types now make up the agentic commerce landscape, spanning both the shopper experience and merchant operations.

  • Competing in the agentic era requires more than good SEO. It demands the right data, infrastructure, and channel strategy.

Think about the last time you searched for something to buy.

You might have typed a question into Google or went straight to ChatGPT. Maybe you described exactly what you needed in plain language and got a direct recommendation before you ever visited a single website.

If that sounds familiar, you've already experienced agentic commerce, even if you didn't have a name for it.

For shoppers, it feels like a smarter, faster way to find and buy products. For merchants, it represents something bigger: a fundamental change in how discovery works, how purchase decisions get made, and where brands need to show up.

The old playbook — rank on Google, drive traffic, convert on-site — still matters. But it's no longer the whole game.

Agentic commerce adds a new layer to the ecosystem. AI now powers discovery channels, shopping assistants, on-site search, personalisation, and even checkout itself. Merchants who understand this landscape will be far better positioned to compete in it.

The shopping journey has changed

The path from discovery to purchase used to be predictable.

Shoppers searched, clicked, browsed, and bought. Merchants optimised for that funnel and measured every step of it.

AI has changed the starting point entirely.

Shoppers now simply share the specifics on what they are looking for to buy in an AI engine’s chat box. Almost immediately, relevant recommendations are delivered, enabling them to make a decision without having to go to the brand’s website. In the most advanced scenarios, AI completes the purchase on their behalf. The journey is faster, more automated, and increasingly happening outside of traditional search.

For merchants, that means the old playbook can only get you so far. However, competing in this new landscape requires clean product data, the right infrastructure, and a clear picture of where AI now fits into the commerce ecosystem.

That picture has nine distinct parts. Here's the full view.

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Visual map of AI solutions including discovery channels, merchant tools, and customer experiences

What this means for your ecommerce strategy

Agentic commerce isn't a future state to prepare for. It's shaping how shoppers find and buy products today. The question for merchants isn't whether to pay attention — it's where to focus first.

A few priorities stand out.

Your product data is your foundation.

In an agentic commerce world, AI tools are only as good as the data they have access to. If your product titles are vague, your attributes are incomplete, or your descriptions aren't optimised for how people actually search, you're harder to surface — whether that's on an AI answer engine, a shopping assistant, or an AI-powered storefront search.

Investing in clean, structured, enriched product data isn't a back-office concern anymore. It's a front-line competitive advantage. 

Feedonomics Data Enrichment helps merchants close those gaps at scale — filling in missing attributes, generating optimised content, and ensuring products are structured in a way that AI-powered discovery channels can actually read and surface.

Discovery happens before shoppers reach you.

When a significant portion of the buying journey plays out inside AI tools, your storefront is no longer the starting point. It's a destination shoppers may already have a strong opinion about before they arrive. 

Brands that treat AI discovery channels as secondary will feel it in their traffic and conversion numbers. The ones that show up early, accurately, and consistently in those channels are the ones capturing demand before it ever hits a search bar.

The infrastructure underneath your store matters more than ever.

Agentic checkout, AI protocols, and emerging agent-to-agent commerce all require a technical foundation that can support them. Headless architecture, open APIs, and flexible integrations aren't just nice-to-haves for brands — they're becoming table stakes for any merchant that wants to participate in where commerce is heading.

Personalisation at scale is now an expectation.

Shoppers who experience AI-driven personalisation — smarter recommendations, more relevant results, experiences tailored to their behaviour — quickly come to expect it everywhere. Merchants who can deliver that experience consistently will see it reflected in conversion rates, average order value, and customer retention.

The final word

Agentic commerce isn't a trend to monitor from a distance. It's an active shift in how shoppers find products, make decisions, and complete purchases — and it's happening now.

The merchants who will win in this environment aren't necessarily the biggest or the most technically sophisticated. They're the ones who understand the landscape, invest in the right foundations, and show up where their customers are actually making decisions.

That starts with your data. It extends to your infrastructure. And it runs through every touchpoint in the shopping journey, from the first AI-generated recommendation to the moment of purchase.

The agentic commerce era rewards preparation. The good news is that the path forward is clearer than it might seem.

Ready to bring agentic commerce to your brand? See how Commerce connects data, infrastructure, and AI channels to power modern shopping.

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