The short answer surprises most merchants: if your store is eligible, your products are probably already there. On March 24, 2026, Shopify launched Agentic Storefronts, which made millions of eligible stores discoverable to ChatGPT users by default, with no app to install and no opt-in step. The question is no longer how to get in; it is how to show up well once you are in.
The mechanics run through Shopify Catalog. You list products once in your normal admin, and Catalog syndicates them to AI partners, including ChatGPT, Microsoft Copilot and the Shop app. When a ChatGPT user asks something like "best trail running shoes under $150", the system matches intent against structured product data: price, attributes, availability and reviews. PageFly's breakdown of the pipeline describes how Catalog infers product categories, extracts attributes, consolidates variants and clusters identical items, so shoppers see relevant, deduplicated results with live pricing.
The stakes are already measurable. In Shopify's Q1 2026 data, AI-driven traffic to Shopify stores grew 8x year over year, orders from AI-powered searches grew nearly 13x, and new buyers came through AI channels at roughly twice the rate of other channels. That last number matters most for small brands, because it means AI answers are functioning as a customer acquisition channel, not just a new checkout path for people who already knew you.
So what actually moves the needle? First, eligibility. For the ChatGPT channel, your store needs products in Shopify Catalog and the ability to sell to US buyers, regardless of where the store is based. Catalog itself has account-standing requirements: a verified email, two-step authentication, completed identity verification when prompted, and a track record of genuine sales. Products need active status, a title, an image and a real price on a storefront that is not password protected.
Second, data quality, because in this channel product data is the ranking factor. Practical walkthroughs like ShopifyRanked's Catalog guide point to the fields AI channels actually read: comprehensive descriptions that include specs, materials, comparisons and care instructions; a populated barcode or GTIN; variants with clearly named options; and up-to-date shipping and return policies. A product called "The Explorer" with a two-line lifestyle description gives an agent nothing to match against, while the same product with weight, drop, terrain type and sizing guidance becomes answerable.
Third, patience and testing. Setup guides report that it typically takes two to three weeks for AI platforms to index and surface newly connected stores, so the useful test is to ask ChatGPT the questions your customers would ask, in your category, and see whether and how you appear. If a competitor shows up with richer attributes, that is your optimization roadmap.
The insight underneath all of this is that agentic discovery has quietly turned product feed hygiene into the new SEO. For fifteen years, merchants optimized pages for a crawler that read text; now they are optimizing structured data for an agent that compares attributes. Reviews, spec completeness and accurate inventory have replaced keywords as the levers, and the merchants treating their catalog like a database rather than a brochure are the ones showing up when the conversation happens.