PayPal reveals merchants aren't ready for AI shopping agents reshaping commerce

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PayPal's first U.S. Agentic Commerce survey shows 95% of merchants already track AI shopping agent traffic, but only one in five have structured their catalogs for machine-readable formats. The disconnect highlights a critical infrastructure gap as AI-powered shopping experiences evolve faster than merchant systems, prompting PayPal's expanded partnership with BigCommerce to bridge the divide.

AI Shopping Agents Are Already Here, But Merchants Aren't Ready

Agentic commerce is no longer a distant possibility. AI shopping agents have already started buying on behalf of customers, fundamentally altering how consumers discover and purchase products

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. PayPal's first U.S. Agentic Commerce Pulse Survey, based on responses from 498 decision-makers across small businesses, mid-market firms, and large enterprises, reveals a striking disconnect between AI shopping activity and merchant readiness for AI

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Source: Fast Company

Source: Fast Company

Nearly 95% of merchants report they can already track or observe traffic originating from AI shopping agents, including web crawling from systems like ChatGPT and Google Gemini

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. Yet only about one in five have structured their product catalogs in machine-readable product catalogs that those same agents can actually interpret and act on in real time. Many also lack foundational infrastructure, including interoperable APIs and agent-compatible checkout systems. The result is a market where demand is evolving faster than the systems built to support it, creating what PayPal calls an invisible storefront economy

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The Shift From Traditional Search Methods Is Accelerating

The behavioral shift driving agentic commerce has gone mainstream. Research by PYMNTS Intelligence found that 41% of consumers have already used dedicated AI platforms for product discovery

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. More striking is that a third say they have fully replaced their prior methods, not layering AI on top of old habits but abandoning keyword searches entirely.

"We're seeing the interface layer move first," Mike Edmonds, PayPal's VP of agentic commerce and commercial growth, tells Fast Company, noting that where brands once competed for visibility through Google Ads and SEO, the pressure is shifting toward structured data and how goods appear across large language models (LLMs) and digital marketplaces

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. As search becomes more intent-driven rather than keyword-driven, consumers are moving away from basic queries like "running shoes" and instead asking AI systems for highly specific recommendations tailored to their needs.

BigCommerce and PayPal Partnership Targets the Infrastructure Gap

To address this infrastructure challenge, PayPal announced an expanded partnership with BigCommerce on Wednesday, April 29

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. The new integration is designed to let BigCommerce merchants connect their product catalogs, inventory, and order management to AI-powered shopping experiences through PayPal Store Sync, a catalog and order management solution that links merchant storefronts with emerging AI shopping channels.

Source: PYMNTS

Source: PYMNTS

"AI is fundamentally changing how people discover and buy products. Merchants need to meet shoppers in those moments and make it easy to move from discovery to purchase or risk being left out of the journey," said Sharon Gee, senior vice president of product for AI at Commerce, BigCommerce's parent company

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PayPal Store Sync makes product data like pricing, images, descriptions, reviews, and inventory instantly accessible to AI platforms where consumers increasingly begin their shopping journeys. The integration makes Commerce merchants discoverable and purchasable on an expanding network of AI surfaces, including Microsoft Copilot, Meta, and Perplexity

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What Merchants Should Watch For

The experience fueling this shift is genuinely different from traditional search. Rather than sifting through pages of links and sponsored listings, consumers get a structured answer that details trade-offs between rival products, refined through conversation until it aligns with the actual buying decision. But a critical gap remains: consumers often leave the conversation and go somewhere else to complete the purchase

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Optimizing for large language models now matters as much as traditional SEO once did. Merchants who fail to structure their catalogs for AI agent compatibility risk becoming invisible in this emerging landscape. The question that matters now, as PYMNTS CEO Karen Webster notes, is not whether agentic commerce will eventually close the purchase gap, but who becomes a casualty on the agentic highway and who benefits

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