The Numbers Behind the Gap
A PYMNTS Intelligence survey of 2,191 US consumers in August 2026 found that 23% now start their retail shopping research using AI. That translates to roughly 61 million people. Average AI-assisted spend rose from $889 in June to $1,039 in August, a 17% increase in two months. Meanwhile, NielsenIQ announced in September 2026 that a majority of US consumers now use AI to shop in some capacity.
The discovery side is working. The buying side is not moving. According to the same PYMNTS data, 60% of AI-assisted purchases still complete on Amazon. Big box and department stores capture 20%. Brand sites get just 6%.
On the merchant side, the PYMNTS/Visa GDSI Merchant Edition reports that only 11% of small businesses currently qualify as agent-ready. Only 15% of merchants have the structured product data agents need to evaluate what is being sold. Only 23% can distinguish AI-driven traffic from human users.
Consumers are moving. merchants are standing still.
The Febreze Moment
PYMNTS CEO Karen Webster calls this agentic commerce's "Febreze moment." In the late 1990s, Procter & Gamble launched Febreze as an odor eliminator. The technology worked. The product flopped. The reason: people who needed it could not smell the problem. There was no cue to reach for the bottle, and no perceptible reward when they did.
P&G fixed it by changing what they sold. They stopped selling odor elimination and started selling the fresh-scent reward after cleaning. Febreze hit $230 million in its first year after the relaunch. The technology stayed the same. Everything around it changed.
Webster's argument: agentic commerce is stuck in the same place. The industry is selling smart, seamless checkout. Consumers are not looking for a new way to click a button. They are looking for a guarantee that when something goes wrong, someone will make it right.
The Trust Gap That Data Can't Close
The most telling data point from the PYMNTS study came from a controlled test. Consumers were told the AI assistant would find the exact same item at the same price, with the same shipping and the same returns, from three places. Forty percent still chose the marketplace. Twenty-two percent chose the department store. Sixteen percent chose the brand directly.
When asked why, the top answers were:
| Reason | Percentage |
|---|---|
| Easier or more reliable returns | 37% |
| Better selection | 35% |
| Habit | 33% |
| Better customer service | 32% |
They did not believe the alternative was equal, even when told it was. Behavioral economics explains this: losses feel roughly twice as painful as equivalent gains. A bad purchase costs money. A bad search answer costs only time.
OpenAI learned this the hard way. It launched Instant Checkout in September 2025 and discontinued it by March 2026. Only about 30 Shopify merchants ever went live. Walmart reported that purchases made inside ChatGPT converted at one-third the rate of those sent to its own site. The "smart and seamless" pitch failed because it described the status quo for someone who already shops on Amazon.
Two Sides of the Same Gap
The consumer trust trap and the merchant readiness gap are the same problem viewed from opposite ends.
On the demand side: 61 million consumers use AI for shopping research, but 60% of AI-assisted purchases still close on Amazon. The agent finds the product. The buyer takes their money somewhere they already trust.
On the supply side: only 11% of small merchants are agent-ready. Most cannot provide the structured product data an AI agent needs to evaluate their offerings. Most cannot even tell when an AI agent is visiting their site versus a human shopper. Merchants cannot see the traffic, and consumers will not leave the familiar.
The infrastructure is arriving. Stripe built full-stack agent commerce capabilities with 288 launches at Sessions 2026. Stripe's Link wallet, now used by more than 300 million people globally, powers agent purchases for both Meta's Muse and xAI's Grok Bot. Visa announced live agentic commerce transactions in Europe in July 2026. Mastercard launched Agent Pay for Machines in June 2026 and followed with Agent Connect for merchants on September 9, 2026. Shopify opened its entire catalog to Muse and Shop Pay.
But infrastructure is not adoption. The plumbing is getting built. The trust is not.
The Zero-Click Complication
Separate research from UpliftAI, published September 26, 2026, adds another layer: as many as 73% of Google searches now end without a click to an outside website. This builds on publicly available clickstream research that placed the zero-click rate at 58.5% in the United States and 59.7% in the European Union as of 2024.
The implication compounds the readiness gap. Consumers are using AI to discover products, but AI Overviews and chatbots increasingly answer questions without sending traffic to the merchant's site at all. A business that is not agent-ready is not just missing the agent purchase. It is also losing the discovery click that might have led to a direct visit.
What Businesses Should Do Now
The readiness gap is also a competitive window. While 89% of small merchants are not agent-ready, the ones who move first will capture AI-discovered demand their competitors are invisible to. Here is what to prioritize:
1. Structured product data. AI agents need structured, machine-readable information about your products: price, availability, specifications, shipping options, return policies. If this data lives only in human-readable HTML, agents cannot evaluate your offering against competitors.
2. Agent-distinguishable traffic. Only 23% of merchants can tell AI-driven traffic from human traffic. Without this visibility, you cannot measure whether agents are finding you, how they evaluate your products, or where they send their users.
3. Return policy as a trust signal. The PYMNTS data is clear: 37% of consumers chose the marketplace because of easier returns. A clear, generous, and prominently displayed return policy is not just a service feature. It is the trust signal that moves AI-discovered buyers from the marketplace to your site.
4. Third-party presence. Independent analyses of citation patterns across ChatGPT, Perplexity, and Google's AI Mode consistently show that community platforms like Reddit and LinkedIn are among the most frequently cited sources. Businesses that publish only on their own website are becoming harder for AI systems to find.
5. Payment agent readiness. With Stripe Link, Mastercard Agent Connect, and Visa's agentic transactions live, merchants need to ensure their checkout can accept agent-initiated payments. This means supporting tokenized payments, single-use virtual cards, and platform-specific agent payment protocols.
The Bottom Line
The PYMNTS data shows that 64% of consumers check who the seller is when they buy on Amazon. They do not trust everything on the platform. They trust the platform to fix it when things go wrong. That distinction, between trusting the seller and trusting the resolution, is the gap no checkout protocol has closed yet.
A saved digital wallet on a brand site would move 24% of marketplace shoppers, according to PYMNTS. An AI assistant handling end-to-end checkout would move 12%. But in the controlled test, the marketplace still won at 40%. The 20-point gap between the 40% who default to the marketplace and the 20% who say everything-equal would choose differently is the prize. It comes into play when consumers actually believe the alternative is as safe as Amazon.
Today they do not, and a survey cannot make them. Only experience will. Until that experience materializes, 61 million consumers will keep asking AI what to buy. And then they will buy it on Amazon. The merchants who change that pattern first will own the next phase of commerce.
Want to make your business agent-ready? Contact Vivid to assess your AI search visibility and agentic commerce readiness.
Read next: From Storefronts to Agent Endpoints: How Brands Are Distributing Themselves via AI | NVIDIA's Open Agent Safety Platform: Silicon Cages for Rogue AI Agents | Meta's Enterprise AI Gamble: Can the Company That Killed Workplace Win Business? | Amazon's Agentic Double Move: Opening Seller Central to AI While Blocking Meta's Muse
