AI Search Now Beats Google: McKinsey's Wake-Up Call for Brands

A new McKinsey survey of roughly 21,000 consumers across 11 global markets just delivered the clearest signal yet that the retail discovery funnel has flipped. AI shopping behavior has moved from novelty to norm, and it is now the single most influential force in purchase decisions, beating out traditional search engines, retailer platforms, and even recommendations from friends and family. For Fortune 500 brands heading into the holiday shopping season, this is not a trend to monitor from the sidelines. It is a structural shift in how products get discovered, evaluated, and bought.

Around 29 percent of AI shoppers said these tools were the single biggest influence on their most recent purchase, ahead of retailer platforms, review websites, search engines and recommendations from friends and family. That single statistic should reorder the priority list on every CMO's desk. Globally, AI users are 3.2 times more likely to rank AI search tools as more influential than traditional search engines, and 2.6 times more likely to rank them higher than other strong influences, like friends or family.

Matt Britton, founder of Suzy and one of the most sought-after AI keynote speakers addressing Fortune 500 leadership teams, has been warning executives about this shift for over a year. Britton argues that brands spent two decades optimizing for Google's algorithm, only to now face an entirely new discovery layer that operates on different rules, different signals, and different winners. "The funnel didn't just shrink," Britton often tells audiences on his keynote platform. "It moved to a system brands don't control and barely understand."

This piece unpacks what McKinsey's research actually found, why it matters more now than at any point since AI chat tools launched, and what Britton's playbook recommends for winning visibility inside AI agents before holiday shopping habits lock in for another year.

What the McKinsey AI Consumer Survey Actually Found

The scale of this research matters. The McKinsey Agentic Commerce Consumer Survey, fielded in June 2026, surveyed approximately 21,000 global consumers across 11 markets including Australia, Brazil, China, France, Germany, India, Japan, Mexico, Saudi Arabia, the United Kingdom, and the United States. This is not a niche panel of early adopters. It is a representative snapshot of how mainstream global consumers now shop.

The headline finding is stark. 53% of consumers across the 11 markets now use AI for shopping. That adoption curve has moved faster than almost any consumer technology shift in the past decade, and it has already surpassed the tipping point where brands can treat it as experimental.

Perhaps more revealing is where consumers are choosing to get that AI help. Overall, 56 percent of consumers used an AI chat or search tool in the past three months, versus 27 percent who used a retailer's AI shopping assistants. Consumers are not waiting for retailers to build their own AI experiences. They are going straight to standalone tools like ChatGPT, Gemini, and Perplexity, and letting those systems do the comparing, filtering, and recommending.

The research also confirms this behavior is accelerating, not plateauing. In the US, the share of AI users completing a purchase through AI has surged 70% since December 2025, from 10% to 17%. Britton, who tracks consumer behavior shifts through Suzy's real-time research platform, calls this the fastest adoption-to-transaction curve he has seen in his career studying emerging consumer technology.

AI Search Influence on Purchase Decisions Now Triples Traditional Search

The comparison to traditional search is where this data becomes undeniable for brand leaders. 29% of AI shoppers say AI chat or search tools had the biggest influence on their most recent purchase, three times the share citing traditional search engines at 9%, and more than retailers' platforms and AI assistants combined at 21%. Google built an advertising empire on being the starting point for commercial intent. That starting point is now shared, and increasingly surrendered, to a new category of tools.

Why is this happening so fast? The answer is not mysterious. Consumers are choosing less effort over more control, and AI delivers effort reduction better than any search engine ever could.

• Narrowing choices: 81 per cent of AI shoppers said these tools helped narrow down and filter choices.
• Reduced browsing fatigue: 80 per cent valued reduced scrolling and clicking.
• Time savings: 79 per cent said AI saved significant time.
• First-choice behavior: AI users are almost twice as likely to use AI-based search first when researching or making a decision about what to buy as opposed to traditional search engines or other online sources of information.

Britton frames this as the end of "browse culture" and the beginning of "delegate culture." Consumers used to enjoy scrolling through options. Now, as McKinsey's researchers put it, "Consumers are essentially delegating more of the research and evaluation work to AI agents." That delegation is precisely the mechanism threatening traditional brand visibility strategies, and it is the core subject of Britton's book Generation AI, which examines how AI-native behavior is reshaping consumer expectations across every category.

Agentic Commerce Is Moving Beyond Discovery Into Transactions

Agentic commerce refers to the growing practice of letting AI tools not just recommend products but actually complete purchases on a consumer's behalf. McKinsey's data shows this is no longer theoretical. Between 21 and 30 per cent of AI users across the six leading purchase categories said they would allow an AI tool to complete a transaction, around 1.5 times the share that had actually done so.

Actual transaction behavior is already meaningful at scale. Globally, 14 per cent of AI users said they had used an AI tool to complete a purchase, equivalent to 9 per cent of the general population. That is nearly one in ten consumers worldwide who have already let an AI agent finish a checkout. For a Fortune 500 brand, that is not a rounding error. It is a new sales channel forming in real time, largely outside brand-owned infrastructure.

Retailers still hold one advantage, and it is a meaningful one. AI chat and search tools are used nearly twice as often as retailers' own assistants for shopping inspiration at 45% versus 23% of AI users, but at checkout, retailers regain ground, with 15% of AI users completing a purchase using a retailer assistant compared to 14% through a chat or search tool. The lesson here, according to Britton, is that brands cannot win the inspiration stage back from standalone AI tools easily, but they can and must win the completion stage by making their checkout systems agent-ready.

McKinsey's own researchers frame the strategic imperative clearly. As McKinsey Partner Jack Trotter puts it, "Shoppers are handing AI the legwork. Retailers need to be where that agent can complete the purchase." This is precisely the operational challenge Britton addresses when he speaks to retail and CPG leadership teams about preparing their commerce infrastructure for an agent-mediated future.

Why This Matters Before the Holiday Shopping Season Locks In Habits

Timing is everything in this story. McKinsey's findings land just as the holiday shopping season begins, a period when consumer habits form quickly and tend to stick for the following year. As the holiday season approaches, retailers are racing to enable AI powered purchases, opening their systems to authorised AI agents in a secure way.

Britton describes this window as a "habit formation sprint." Consumers who successfully use an AI shopping assistant during Black Friday, Cyber Monday, or the December gift-buying rush are far more likely to default to that same behavior pattern in 2027 and beyond. Brands that are invisible or poorly structured inside AI agents during this specific window risk losing default-choice status for the better part of a year.

The urgency is compounded by McKinsey's own warning to brand leaders. As the report states directly, McKinsey said retailers would need to improve product information, pricing, inventory availability and delivery data to remain visible and competitive as AI-led shopping expands. This is a direct, actionable mandate. AI agents cannot recommend what they cannot clearly read, verify, and trust, and brands with messy, inconsistent, or outdated product data are effectively invisible to the systems now driving purchase decisions.

Senior McKinsey Partner Kelsey Robinson summarized the stakes for leadership teams plainly: "Consumers are showing unmet appetite and preference for AI shopping. Nearly a third of AI shoppers said AI chat or search tools were the biggest influence on their recent purchase." Britton's keynote work translates this kind of macro data into specific, sequenced action plans for marketing, e-commerce, and digital transformation teams racing against the holiday clock.

The CMO Playbook for Winning Visibility Inside AI Agents

Matt Britton's framework for Fortune 500 leaders centers on a simple reframe: brands are no longer optimizing for search engine results pages, they are optimizing for inclusion in an AI agent's recommendation set. That shift changes the metrics, the content strategy, and the technical priorities that marketing teams must pursue immediately.

Britton's recommended priorities for brand and retail leaders include the following:

• Audit product data feeds for completeness, accuracy, and structure, since AI agents rely on clean, machine-readable information to make confident recommendations.
• Build agent-accessible checkout infrastructure that allows authorized AI tools to complete transactions securely, closing the gap McKinsey identified between inspiration and completion.
• Publish authoritative, citable brand content across owned channels and third-party sources, since AI models draw heavily on perceived expertise and consistency when forming recommendations.
• Monitor brand visibility inside major AI chat tools the same way marketing teams once tracked Google search rankings, treating AI answer inclusion as a core KPI.
• Test and iterate on agentic commerce partnerships before the holiday season peaks, rather than waiting for AI shopping to mature into a settled category.

These themes run throughout Britton's keynote content and his work advising industry-specific audiences, from his sessions on AI in financial services to his presentations tailored for real estate leadership teams navigating similar discovery-layer disruption. Britton also explores these shifts weekly on The Speed of Culture podcast, where he breaks down emerging consumer behavior data with the same analytical rigor he brings to the keynote stage.

Key Takeaways for Business Leaders

• Prioritize product data accuracy and structure immediately, since AI agents cannot recommend brands with incomplete or inconsistent information.
• Audit current visibility across major AI chat and search tools the same way marketing teams audit Google search rankings.
• Invest in agent-ready checkout infrastructure now, before holiday shopping habits solidify consumer defaults for the coming year.
• Reallocate marketing budget away from pure search engine optimization and toward AI answer engine visibility and structured content.
• Engage executive teams early with outside expertise, since the pace of AI shopping adoption is outrunning most internal digital strategy roadmaps.

Frequently Asked Questions

What is AI shopping behavior and why is it growing so fast?

AI shopping behavior refers to consumers using AI chat and search tools like ChatGPT, Gemini, or Perplexity to discover, compare, and purchase products instead of relying on traditional search engines or retailer websites. It is growing fast because these tools save consumers significant time and effort while narrowing overwhelming choices into clear recommendations, a value proposition traditional search never fully delivered.

Is AI search really more influential than Google for shopping decisions?

Yes, according to McKinsey's 2026 survey of 21,000 consumers, AI search tools are now 3.2 times more likely to be ranked as influential compared to traditional search engines among AI users. Nearly 29 percent of AI shoppers named AI chat or search tools as the single biggest influence on their most recent purchase, outranking retailer platforms and traditional search combined.

What is agentic commerce in simple terms?

Agentic commerce describes AI tools that go beyond recommending products and actually complete purchase transactions on a consumer's behalf. McKinsey found that roughly 14 percent of AI users globally have already used an AI tool to finish a checkout, signaling this behavior is moving from experimental to mainstream well ahead of most retailers' readiness.

How should brands prepare for AI shopping assistants before the holidays?

Brands should immediately audit their product data feeds for accuracy, ensure checkout systems can accept authorized AI agent transactions, and monitor how often their products appear in AI tool recommendations. Acting before the holiday season matters because consumer shopping habits formed during this period tend to persist well into the following year.

The Window to Act Is Now

The McKinsey data is unambiguous, and the implications reach far beyond marketing departments into the core architecture of how commerce will operate going forward. AI shopping behavior has crossed the threshold from early trend to dominant force, and brands that delay response until next year's budget cycle risk losing default-choice status before they even begin.

Matt Britton has spent his career translating fast-moving consumer data into clear executive action, and this moment represents exactly the kind of inflection point his keynote audiences need decoded in real time. Fortune 500 teams preparing for 2027 planning cycles, holiday readiness reviews, or digital transformation roadmaps can bring that clarity directly into their leadership meetings. Learn more about booking Matt Britton for a keynote, workshop, or executive briefing at Matt Britton's speaker platform, or explore his dedicated AI keynote speaker page to see how he tailors this exact conversation for boards, marketing leadership, and innovation teams racing to keep pace with AI-driven consumer behavior.