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Zero-click commerce arrives: AI agents set to intermediate $15 trillion in B2B purchases by 2028

Gartner predicts AI agents will intermediate $15 trillion in B2B purchases by 2028, forcing businesses to rethink how buyers find and choose suppliers.

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By MarketScale Newsroom · Agentic CommerceZero-click CommerceAi AgentsB2b Commerce
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Zero-click commerce arrives: AI agents set to intermediate $15 trillion in B2B purchases by 2028

Key takeaways

01

Gartner predicts AI agents will intermediate $15 trillion in B2B purchases by 2028, signaling a fundamental shift in how procurement decisions are made.

02

Zero-click commerce means buyers may complete purchases without ever visiting a supplier's website, rendering traditional web and SEO strategies insufficient.

03

Answer engine optimization (AEO) is emerging as a critical discipline for B2B sellers who need their products and services to surface inside AI-driven decision engines.

A structural shift in how businesses buy is accelerating faster than most procurement and commerce teams anticipated. According to Gartner, as reported by commercetools, AI agents will intermediate $15 trillion in B2B purchases by 2028 — a figure that frames agentic commerce not as a distant possibility but as an immediate strategic concern.

What zero-click commerce means for B2B sellers

Traditional B2B commerce assumes a buyer will search, visit a website, evaluate options, and then transact. Zero-click commerce breaks that assumption entirely, placing an AI agent between the supplier and the purchase decision.

In this model, a buyer may never type a query into a search engine, browse a product catalog, or initiate direct contact with a vendor. The agent sources, evaluates, and completes the transaction on the buyer's behalf, often invisibly.

For sellers, this means the traditional investment in website experience, SEO rankings, and conversion optimization may deliver diminishing returns if their product and company data cannot be read, interpreted, and acted upon by AI-driven systems.

Answer engine optimization becomes a competitive requirement

Agentic commerce is arriving alongside a parallel shift in how information is retrieved. Answer engines — AI systems that synthesize responses rather than returning a list of links — are increasingly the first point of contact in a buyer's research process.

Answer engine optimization (AEO) is the discipline of structuring a company's content, product data, and digital presence so that these systems can accurately represent and recommend its offerings. Where SEO focused on ranking pages for human readers, AEO focuses on making information machine-readable and citation-worthy for AI responses.

For B2B organizations, this distinction carries significant commercial weight. A supplier that ranks highly in a traditional search but fails to appear in an AI agent's shortlist risks losing procurement opportunities before a human buyer ever becomes aware of them.

Rethinking the B2B commerce stack

The convergence of agentic commerce and AEO is pushing B2B organizations to reconsider foundational decisions about how their product catalogs, pricing data, and transactional systems are structured and exposed. Composable and headless commerce architectures are gaining relevance precisely because they allow businesses to serve data to AI agents through APIs, not just browsers.

Procurement teams on the buy side face their own adjustment. As AI agents take on more of the supplier discovery and evaluation workload, procurement leaders must define the guardrails — preferred vendor lists, compliance requirements, spending thresholds — that govern what agents are authorized to do autonomously.

The $15 trillion figure attributed to Gartner by commercetools suggests the window for preparation is narrow. Organizations that treat agentic commerce as a future-state planning item rather than a present-tense infrastructure challenge may find themselves structurally disadvantaged well before 2028.

Implications for commerce and marketing teams

Marketing and commerce functions that have built their strategies around owned web traffic and direct buyer engagement will need to expand their remit. Ensuring that product data is accurate, structured, and accessible to AI systems is no longer solely an IT or data governance task — it directly affects revenue.

B2B sellers should audit how their product and company information appears inside AI-generated answers and agent outputs today, before the intermediation scale described by Gartner fully materializes. Early investment in AEO and agent-compatible data infrastructure is likely to compound in advantage over time.

About the author

MN
MarketScale Newsroom

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MN
MarketScale Newsroom