AI-driven shopping has moved from a pipe dream to reality, and it is already reshaping how online purchases happen. OpenAI’s new assistant can complete an entire purchase without the user touching a keyboard, while Google’s AI Mode builds the same behaviour directly into search. Amazon’s “Buy for Me” agent is expanding its reach, and PayPal and Perplexity are rolling out automated buying flows across the U.S. The direction of travel is clear.
For ecommerce retailers, this shift changes how advertising works. AI agents don’t browse or compare products the way people do. They read structure, prioritise clarity and follow the fastest path to a completed transaction. Any retailer with a site that is hard to interpret, slow to load or awkward to access risks becoming invisible, no matter how strong the creative or how big the media budget.
Retailers have spent years optimising for human behaviour. Now they need to be ready for automated systems acting on behalf of those same customers. With agentic shopping gathering pace, the steps below will help brands nail AI-driven shopping.
- Rethink the entry point.
AI agents are able to land straight in the cart or checkout without having to navigate homepages or scrolling through menus. They land. Those pages need to be the fastest and cleanest parts of your site. They should load reliably, expose clear APIs and support headless or embedded checkout options. If an agent arrives with intent and the page stalls, the sale goes elsewhere. When advertising drives high-intent queries rather than high-intent clicks, the checkout has become your new front door. - Curate and suggest smart carts.
Agents thrive on shortcuts. Pre-filled carts, curated bundles and popular combinations help them bypass the usual add-to-basket journey. Think of this as merchandising for machines. When a user asks their agent to reorder a set or build a themed basket, these structured carts make you easy to act on. They also help ads work harder by giving AI systems the clarity they need to assemble products into ready-to-buy groups. - Build for persistent, collaborative shopping.
Some agentic journeys involve the user dipping in and out while the AI handles the admin. The cart needs to survive those switches. It should be saveable, resumable and easy to share. If those states break, the customer’s trust breaks with them. Persistent carts also give retargeting more substance, because ads can reconnect people with a live journey rather than chase abandoned items. - Design for intent-based journeys.
Agents operate on goals rather than navigational steps. They need to turn intent into action. That might mean triggering cart creation straight from natural-language queries. A shopper searching for “a vegetarian lunch for a team meeting” should be able to generate a pre-filled cart instantly. Aligning your metadata and bundles with these intent-first paths helps your products surface more often in AI-driven recommendations built off advertising demand. - Support embedded wallets.
Agents favour payment methods that integrate cleanly. Apple Pay, Google Pay, Shop Pay and Buy with PayPal are becoming the default rails for automated checkout. Adding them now removes friction later. It also positions your site well as advertising platforms start factoring checkout compatibility into their ranking logic. If an agent can complete the transaction without re-entering details, conversion rates will naturally improve. - Go beyond accessibility standards.
Agents don’t use screen readers, but they do rely on clarity. Semantic HTML, structured metadata, clean headings and labelled elements help them interpret your site without guesswork. Excessive JavaScript wrappers and div-heavy layouts can block agents from interacting with key functions. Most retailers already aim for WCAG compliance. This adds another layer, treating metadata and structure as part of your advertising infrastructure because it shapes how your catalogue appears inside agent-led recommendations. - Differentiate harmful bots from helpful agents.
Legitimate agents behave a lot like malicious bots. Both browse automatically and reach checkouts fast. This demands more nuanced detection. Retailers may need to whitelist trusted agents, allow recognised traffic to bypass CAPTCHAs and signal compatibility rather than block activity outright. Done well, this reduces fraud while keeping the pathway clear for agent-led traffic driven by ads.
AI-powered buying changes how discovery works and how advertising triggers action. Retailers who shape their sites to support these new behaviours will put themselves in a stronger position as agentic commerce becomes mainstream. Those who wait risk being filtered out long before a human shopper ever reaches them. In the end, the sites that work with agents, not against them, will be the ones people end up buying from, whether they tap the button themselves or let an AI do it for them.
Carole Breetzke is Business Solutions Director at Brave Bison with over 10 years of agency and client-side experience leading large ecommerce replatforming projects and advising on products that meet complex business requirements. With experience ranging from B2C to B2B retail, she’s worked on a diverse portfolio of websites in Europe, North America and Africa. She started her career leapfrogging in the dynamic startup ecosystem of Cape Town after graduating from a Masters in Business Administration in Madrid and going through the French Grand École institution. She joined Brave Bison over three years ago, where she applies her ecommerce expertise to take clients on their last replatforming journey on composable architectures.
