Shopify Says Agentic Commerce Delivers 80% Conversion Lift While Preserving Its Take Rate Across Every AI Channel
Goldman Sachs Communacopia + Technology Conference, September 10, 2026
Shopify offered investors its most granular look yet at how AI-driven shopping is actually converting into revenue, with CFO Jeff Hoffmeister and Head of Growth Archie Abrams disclosing conversion statistics that quantify a trend the company has only gestured at in prior earnings calls. Speaking at Goldman Sachs' Communacopia + Technology Conference, the executives laid out a picture of agentic commerce that is inflecting global e-commerce penetration without disrupting the economics that have underpinned Shopify's model for two decades.
The Conversion Math Behind Agentic Commerce
The headline data point: consumers who begin their search in an LLM are 2.5 times more likely to land directly on a specific product page rather than a merchant's homepage, and that precision translates into an 80% uplift in conversion. Hoffmeister was careful to frame this as early but real. "We're kind of 6 to 9 months into seeing real traffic where someone goes to one of the LLMs, does some discovery and then ends up on a merchant's website and then transacts," he said, adding the caveat that agentic commerce estimates vary wildly depending on how each vendor defines the category.
The more important disclosure for investors concerned about margin dilution from AI intermediaries was Hoffmeister's insistence that Shopify's economics do not change regardless of which channel originates the discovery. "Whether you start on this LLM or that LLM, you're still a channel for the merchant and you're still getting to the merchant's website," he said, noting that once a consumer lands on the merchant's site, the transaction still runs through Shop Pay and Shopify's existing payments, tax and FX infrastructure. He pointed to Shopify's integrations with Meta and OpenAI as templates for how this plays out across partners, arguing that LLMs are competing with each other on referral quality rather than trying to disintermediate the merchant relationship. "If you type in something very specific in terms of a product you may want, they want to get you to the right spot," he said, framing the LLMs' incentive as brand-building with the end consumer rather than fee extraction from Shopify.
Catalog as the Structural Moat
Much of the session centered on Catalog, the product Shopify has built to make merchant inventory legible to AI systems. Abrams described it as going well beyond basic product tagging: "We've invested a lot in a real deep understanding of every single product... creating a taxonomy that is incredibly robust around not only the most basic facets, but also things like understanding the imagery and really understanding the tone, what type of buyer this is going to appeal to." The system also deduplicates listings across merchants and layers in live inventory and pricing data, something Abrams argued generic web search cannot replicate for an LLM trying to serve a shopper a reliable answer.
Hoffmeister extended this into a concrete example of how better product description work under Catalog can redirect demand toward smaller manufacturers a shopper might never have found otherwise, using the example of an LLM recommending "a small manufacturer in Portugal" over a known brand based on richer product data. The strategic implication is that Catalog is not just a discovery tool but a mechanism for redistributing demand toward the long tail of merchants Shopify already hosts.
Long-Tail Merchants Are the Early Winners
Both executives pushed back on the narrative that agentic commerce primarily benefits large, well-known brands. Hoffmeister cited data referenced on Shopify's last earnings call showing that a significant majority of AI-driven search traffic falls outside the company's top 100 product categories, benefiting smaller or plateaued brands that get rediscovered when consumers ask LLMs highly specific questions rather than generic ones. He described this as one of three distinct patterns: niche brands regaining momentum, specification-heavy categories like electronics and furniture benefiting from AI's ability to parse detailed requirements, and previously under-described products getting a lift once merchants enrich their listings through Catalog.
This connects directly to Shopify's long-standing pitch of empowering smaller merchants against marketplace giants, and the company is now presenting evidence that AI search is accelerating rather than undermining that dynamic.
Merchant Acquisition Still Has Runway
On the demand side of the platform, Abrams pushed back on the idea that Shopify's merchant acquisition engine is running out of room. He noted that new business starts in the U.S. grew 12% year-over-year, yet only about 1% of the U.S. population is currently starting a business, leaving what he described as a large untapped population of would-be entrepreneurs. He argued AI is lowering the skill threshold required to launch a business: "With AI, you might only need one superpower... leverage the Sidekick or other AI tools to become an expert in marketing, leverage Shopify's Autopilot... use Sidekick to run your reports and run your operations." Abrams also disclosed that more than 40% of businesses on Shopify are started by repeat merchants, using Gymshark founder Ben Francis as an example of an entrepreneur who tried multiple ventures before succeeding, a dynamic Shopify says it is increasingly built to capture through repeated trust with founders rather than one-off acquisition.
Sidekick's Monetization Is Indirect, and That's the Point
On Sidekick, the company's AI assistant for merchants, Hoffmeister confirmed there is no direct monetization strategy: the tool's value shows up instead in higher GMV that flows through into payments, tax and FX revenue lines within merchant solutions. He noted usage has "really exploded" over the past nine months, expanding from mostly mid-sized merchants asking go-to-market questions to usage across all merchant sizes and geographies. Sidekick's proactive layer, called Sidekick Pulse, now surfaces unprompted recommendations, such as suggesting a merchant create a collection with a discount to lift GMV, a shift from reactive assistant to proactive business advisor.
On the margin question that inevitably follows any AI product at scale, Hoffmeister acknowledged rising LLM costs but described active mitigation through caching of repeated merchant queries and reliance on Shopify's proprietary transaction data rather than always defaulting to frontier models. "I don't need to have the latest and greatest model to do that," he said. Abrams added that distillation work with newer open-source models is delivering meaningful cost leverage "with very little or no quality trade-off," a detail that should reassure investors tracking subscription solutions gross margin trends.
SEO Is Shifting, Not Disappearing
Addressing concerns about traditional search traffic, Abrams said organic search remains strong for Shopify merchants but is migrating down-funnel, becoming more navigational, citing a shift from generic queries like "black pants" toward branded queries like "Vuori pants." Top-of-funnel discovery, in his view, is increasingly happening on social platforms and within agentic search, while traditional SEO now serves the later-stage function of getting shoppers to a specific brand's site. He framed this as net favorable for independent brands, since generic high-competition queries are being replaced by more specific ones that favor differentiated products.
Enterprise Migration Has Compressed From Years to Weeks
On enterprise adoption, Abrams said large brand migrations that historically took roughly a year are now being completed in weeks, attributing the change to easier platform integration and agentic workflows used by migration agencies. Hoffmeister framed this as a structural shift in competitive dynamics: for the first time, large retailers can adopt third-party infrastructure that outperforms internally built systems accumulated over "a couple of decades," making non-adoption of tools like Catalog a competitive liability rather than a neutral choice.
Consumer Demand Remains Steady
Asked directly about consumer health, Hoffmeister said Shopify's proprietary merchant data shows no meaningful divergence from broader macro readings, describing performance as consistent "across geographies and merchant sizes and industries and verticals" over several consecutive quarters, even accounting for recent volatility in oil prices and broader consumer sentiment.