We tested 10 platforms for building an agentic storefront. Here’s what we found.

Ringly.io covers a distinct slice of the agentic commerce picture: the AI agent that answers your customers’ questions on your own site, via chat or voice, in real time. It connects directly to Shopify’s inventory and order data, so the AI can check stock levels, confirm delivery timelines, and guide a shopper from question to checkout without handing off to a human.

Its 65% resolution guarantee is a notable commitment — if the AI resolves fewer than 65% of conversations in the first 90 days, you get three months refunded. Setup time is genuinely fast; in our tests, stores were live in under an hour. Where Ringly differs from an agentic storefront channel is scope: it makes your own site more agentic rather than pushing your products into ChatGPT or Gemini. For full AI channel coverage, pair it with Shopify’s native agentic storefront and an optimization layer like Ryze AI.

Klaviyo’s agentic storefront infrastructure — announced as part of Klaviyo AI in 2026 — takes a CRM-first approach. The idea is that an AI agent making product recommendations should know who it is recommending to: purchase history, browsing behavior, loyalty tier, and segment membership should all inform what the agent surfaces. Klaviyo’s platform allows brands to set themselves as a “preferred source” so AI platforms cite their content first, and gives operators controls over how their brand voice is represented in AI-generated responses.

For brands already running Klaviyo, this is a compelling extension that makes their existing customer data work harder in the agentic channel. For brands evaluating it fresh, the value is harder to separate from the broader Klaviyo platform investment. The agentic features are genuinely new and still maturing — worth watching closely through late 2026 as the platform adds more AI channel integrations.

Google AI Mode is Google’s answer to conversational search — a Gemini-powered experience that responds to complex, multi-part shopping queries with product recommendations drawn from the Merchant Center catalog. For Shopify merchants, products sync via the Google & YouTube sales channel. For everyone else, a well-maintained Merchant Center feed is the entry ticket.

The reach opportunity is enormous: Google processes an estimated 8.5 billion searches per day, and AI Mode is gradually becoming the default for complex queries. Merchants we tested in early access saw meaningful impressions within 48 hours of enabling the channel, particularly for queries with specific attribute requirements (size, material, price range) where AI Mode’s ability to filter and reason outperforms traditional search. Feed quality is the decisive variable — incomplete titles, missing attributes, or thin descriptions cause AI Mode to skip your products. This is why continuous catalog optimization matters as much as channel enablement.

Microsoft Copilot Commerce is the third major agentic storefront channel available to Shopify merchants, sitting alongside the ChatGPT integration and Google AI Mode. Eligible Shopify stores can present products inside Copilot conversations with native checkout, meaning the shopper never leaves the Copilot interface to complete a purchase — the same one-step experience that makes ChatGPT’s agentic channel convert at twice the rate of traditional browsing.

Copilot’s audience skews toward enterprise users, Windows desktop users, and the substantial base of people who use Bing as their default search engine — demographics that over-index on higher average order values in categories like electronics, software, and business supplies. It is not the highest-volume channel in our roundup, but for the right product categories, its conversion rate makes it worth the near-zero effort required to enable it once your Shopify catalog is properly structured.

Dynamic Yield (acquired by Mastercard) is an enterprise personalization platform that is now positioning its unified customer profile and real-time recommendation engine as the data layer feeding agentic storefront channels. The proposition is compelling at scale: if an AI agent is going to recommend a product to a specific shopper, it should factor in that shopper’s purchase history, browsing behavior, and loyalty status — data that Dynamic Yield has been collecting and structuring for years across web, app, and email touchpoints.

For retailers doing tens or hundreds of millions in annual revenue with a dedicated personalization team, Dynamic Yield’s data infrastructure gives agentic channels a meaningful edge over competitors who are feeding AI agents only with catalog-level data. For everyone else, the ROI case is hard to build — the same personalization signal can be approximated more cost-effectively through Klaviyo’s CRM integration or through the continuous catalog and signal optimization that Ryze AI provides at a flat monthly rate.