Search has always shaped commerce. But AI-powered answer engines are doing something more radical than improving results—they are redefining how decisions are made. Instead of typing keywords, scanning links, and comparing pages, consumers are beginning to ask AI systems to find, compare, and decide for them in a single interaction. Increasingly, value is created not by how long consumers browse, but by how precisely their intent can be understood and fulfilled. This is the defining shift of agentic search—AI systems that act on a user’s behalf by interpreting intent, evaluating choices, and even completing actions. And it is already changing how commerce works across Asia Pacific.
From browsing to being guided
Traditional digital commerce was built around exploration. Consumers browsed, filtered, compared, and decided—often across multiple sites and sessions. Agentic search compresses that behaviour. AI-powered answer engines synthesise information, narrow options, and surface context-relevant recommendations. The result is fewer steps, fewer comparisons, and faster decisions. Consumers spend less time searching—and expect answers that are immediately actionable.
We are already seeing this in new AI-driven shopping tools that allow consumers to ask open-ended questions, such as “help me plan a ski trip” and receive curated product suggestions within a single conversational thread. In practice, discovery no longer starts on a merchant’s website or marketplace. It starts in an AI interface—and increasingly, the recommendation itself is where intent is formed.
What this means for merchants
For merchants, this shift is immediate and structural. Visibility in search results is no longer enough. Products must be understandable and trustworthy to AI systems, not just to human shoppers. Answer engines rely on structured, consistent product information to confidently recommend options. If data is incomplete, inconsistent, or outdated, products simply fail to surface.
That reality is pushing companies across the region to rethink how they manage product content. Clean taxonomy, accurate attributes, and real-time availability are becoming competitive necessities, not operational hygiene. As AI-led discovery accelerates the path to purchase, merchants that deliver clarity and confidence are the ones that get recommended—and bought. Shorter paths to purchase also raise the expectation for seamless conversion. Winning the recommendation is no longer enough; merchants must support transactions that feel instant and effortless.
Digital commerce platforms are adapting
Digital commerce platforms and marketplaces are evolving to support this new buying flow. They are investing in better data enrichment, real-time inventory and pricing synchronisation, and conversational interfaces that keep users within the platform from search to purchase.
Across the region, leading retailers are experimenting with AI-enabled experiences such as smart carts and digital assistants that can recommend products and recipes in context, blending online style guidance into physical retail journeys. Similarly, large marketplaces are embedding chat-style shopping assistants that let consumers search, compare, and buy without leaving the conversation. For an AI agent, what used to be a long sales funnel effectively collapses into a handful of machine-readable steps—discover, authenticate, buy—executed in seconds. Platforms that help products stay visible to AI systems and remove drag at checkout gain strategic importance.
The conversion challenge for financial institutions
This shift also has direct implications for financial institutions. As AI-powered systems influence purchase decisions, the moment of transaction becomes critical. Consumers may no longer “shop around,” but when they decide to buy, they expect the payment to be instant, secure, and almost invisible. For banks and payment providers, the challenge is enabling trust in that compressed moment. AI-driven commerce leaves little tolerance for failed authentication, slow approval, or clunky redirection. Safeguards still matter deeply—but they must run quietly, without interrupting the experience.
Google’s Agent Payments Protocol (AP2) and Universal Commerce Protocol are early attempts to give agents a common language to discover products, authenticate users, and pay across platforms. They point to a future where agents can move across merchants and payment providers with a single, consistent way to represent user intent, verify identity, and execute a transaction. As AI agents become a new kind of interface for consumers, they will also require a payment layer that is as machine native as the APIs they use—simple, protocol driven, and able to operate at internet scale. In that world, financial institutions plug into agent-led journeys as trust orchestrators—shaping how payment credentials are used and how security is maintained, even if the payment surface itself becomes invisible.
The belief shift behind agentic commerce
For agentic commerce to truly scale, a few things have to hold. If consumers continue to trust AI not just to surface options but to guide decisions, commerce could become less about searching and more about resolving. The question shifts from “Where should I buy?” to “What’s the right choice for me?”
That evolution demands a mindset change—from optimising for clicks to optimising for clarity, confidence, and execution. In that world, initiatives like AI shopping assistants that can buy on a user’s behalf, and open protocols that let agents transact across merchants and payment methods, are early previews of what mainstream commerce may soon look like. As AI-powered answer engines become the front door to commerce, the biggest risk is not being disrupted. It is becoming invisible at the moment of decision, and the winners will be those who adapt earliest, earning the trust of both the consumer and the machine guiding them.
A unified shift across the ecosystem
When viewed together, consumer, merchant, platform, and financial behaviours are converging toward a single outcome: faster, more decisive commerce. It also opens the door for merchants and financial institutions to adopt agentic AI more broadly—not just at checkout, but across service, decisioning, and operations—so that the same agent-led journeys consumers experience at the front end are mirrored inside the organisation.
For merchants, the immediate priority is ensuring products can be richly described and confidently surfaced by AI—treating product data, availability, and fulfilment information as strategic assets, not back-office details. For digital platforms, the focus is on enabling fluid discovery to checkout experiences, whether in an app, on the web, or inside a conversational interface. Their value shifts from owning traffic to orchestrating end-to-end, agent-friendly journeys. For financial institutions, success lies in making those journeys secure and effortless, providing strong authentication, risk controls, and settlement capabilities in a way that feels invisible to the consumer and legible to the AI systems acting on their behalf.
In the next phase of commerce, consumers may not arrive as visitors clicking through pages, but as instructions carried by agents. The businesses that learn to speak the language of those agents—through structured data, seamless experiences, and machine native trust—will be the ones that remain visible when it matters most.
Manideep Gupta is Vice President, Visa Consulting and Analytics, Head of Consulting & AI Practice, Asia Pacific. Mani heads the Consulting & AI practice areas for Visa Consulting & Analytics (VCA) in Asia Pacific. VCA is Visa’s payments advisory arm that provides data-driven expert analysis & advice to Visa’s clients and partners on payment trends, consumer behaviour, risk, digital transformation, and other payments strategy topics. Mani oversees all the consulting practice areas, which involve building and scaling new consulting capabilities that help clients improve business performance and manage risk.
Mani has over 15 years of experience in management consulting across the Asia Pacific and North America. Most of his focus was on the Financial Services industry, helping clients with a range of topics from strategy design, digital transformation, and execution excellence. Prior to Visa, Mani was a Principal at Boston Consulting Group (BCG) and part of their Financial Services leadership team in Southeast Asia.
Mani holds an MBA (with Honors) from The University of Chicago Booth School of Business and a Bachelor of Technology degree (with Distinction) from National Institute of Technology Trichy (India).
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