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Google I/O Reveals a New Business Visibility Challenge

▼ Summary

– Google I/O showcased consumer AI features like Universal Cart and agentic booking that move users from search to action, reducing direct visits to business websites.
– The infrastructure for these features, including agentic checkout and the Universal Commerce Protocol, had been developed months before the I/O keynote.
– Businesses face economic risks as AI agents handle search and purchase decisions, potentially making brands compete for AI recommendations rather than user clicks.
– For ecommerce, merchants retain transactions but lose data on purchase intent and product discovery, complicating optimization without clear AI signal guidance.
– Local and service businesses risk losing customers if they are not organized for agent-initiated calls, as disorganization becomes an automatic disqualification.

Google’s annual I/O event generated a flurry of coverage about how AI is reshaping the search experience. Most of the attention went to consumer-facing features, but a quieter, more consequential shift is taking shape for businesses behind the scenes.

The flashiest demos at I/O followed a clear pattern: users move from search to action, with Google handling more of the journey in between. While this theme dominated the keynote, the underlying infrastructure had been rolling out for months. A deeper analysis from last week argued that the real threat from I/O was economic rather than technical. This article focuses on where that economic impact is hitting hardest and why business strategies haven’t caught up with the consumer experience Google unveiled.

What Google Showed

Among the standout demos were Universal Cart, agentic booking for local services, and information agents that quietly monitor product listings or apartment availability.

Universal Cart lets shoppers add items from multiple merchants into a single cart that persists across Google’s ecosystem. Agentic booking pulls together pricing and availability, then provides direct links to complete the reservation, pushing the transaction closer to finality. Not every demo was commercial,Google also showcased coding tools, dashboards, simulations, and research assistants.

The Infrastructure Was Already in Motion

I/O made this infrastructure visible to consumers, but it had been under construction for a long time. In late 2025, Google introduced agentic checkout, allowing its AI to add items to a merchant’s cart and complete purchases. This year, it launched the Universal Commerce Protocol (UCP), an open standard that gives agents and merchant systems a common language instead of requiring custom connections for each agent.

In April, Sundar Pichai told Stripe CEO Patrick Collison that search would evolve into an “agent manager.” SEJ has tracked this shift through Google’s agentic search patents and task-based Search features since early this year.

Jay Jaffin, CMO & Strategic Advisor at Visor Strategic Advisors, summed up the anxiety for businesses: “Universal Cart doesn’t just colonize the bottom of the funnel. It colonizes the whole thing, from the first search query to the final checkout, without your customer ever landing on your site. The adaptation window this time may be a lot shorter than a decade.”

The User These Demos Were Built For

Watching the I/O demos, it’s clear these features target a specific user type. This user doesn’t open ten tabs and compare options manually. They describe what they want and let the AI handle the rest. When they ask an information agent to monitor apartment listings or track sneaker drops, they aren’t searching in the traditional sense. They’re delegating a research task and waiting for a notification.

That shifts what businesses are competing for. Haroon Qureshi, Global Retail Experience & Partnerships Lead at WPP Media, framed the new question: “In the future, are brands competing for clicks? Or competing to be recommended?”

At I/O, Google revealed that AI Mode has surpassed one billion monthly users, with queries more than doubling every quarter since launch. That gives this new search behavior a reach few interfaces can match.

Why This Matters for Search Professionals

Ecommerce

Google assures that with UCP, your brand remains the merchant of record. Shoppers can check out with Google Pay or transfer items directly to your website. But marketers are starting to draw a line between owning the purchase and owning the data that led to it.

Armando Roggio, Senior Contributor at Practical Ecommerce, put it bluntly: “In Google’s model, merchants still own the transaction, but not the purchase intent or product discovery.” That makes optimization harder without data on how different signals are weighted in agent-mediated flows.

Aleyda Solís, SEO Consultant and Founder of Orainti, noted on LinkedIn that “ecommerce SEO and AI search optimization can’t be reduced to ‘content around products.’” Her post highlighted the signals that matter: accurate feeds, consistent attributes, clear pricing, and detailed content that gives agents something to reason with.

Local & Service Businesses

For local businesses, Search now brings together pricing and availability with direct links to complete bookings through the provider of choice. In categories like home repair, beauty, and pet care, users can ask Google to call businesses on their behalf. If the call goes to voicemail or staff can’t give clear answers, the business may lose the moment before the user ever visits a site.

Agentic booking effectively turns readiness into a visibility factor. Karim Al Chamaa, Founder of Implemnt, described the dynamic on his company’s blog: “When Google’s agent is the one calling, disorganization becomes an automatic disqualification.”

Measurement

If an information agent monitors apartment listings for a week and returns a recommendation, value has been extracted without a conventional click path. Jake Ward, Co-Founder of Mentions, posted on X that “we’re moving further into a world of visibility > clicks.” You can track organic sessions and referral clicks, but you can’t track how often your business’s products were considered and rejected by an agent, or how frequently your business was recommended in an agentic booking flow. The metrics that explained search performance for years may not explain these agent-mediated journeys as clearly.

What Isn’t Known Yet

Google hasn’t shared the selection criteria for Universal Cart recommendations or agentic booking results. Marketers are currently building strategies based on inference rather than official guidance. Until Google clarifies the signals its agents rely on for comparison and selection, the optimization process is a matter of thoughtful guesswork.

There are currently no third-party measurement tools that track agent-initiated transactions or how often recommendations are made as separate metrics from organic traffic. While Merchant Center now provides AI-driven insights that compare share of voice against similar brands, businesses can’t tell whether “the agent never considered us” or “the agent considered and rejected us.”

The connection between paid ads and organic visibility in AI-driven commerce isn’t fully explained either. Google says it’s “not a retailer” and “not a marketplace,” yet Universal Cart brings together products from various merchants and offers AI commentary that suggests alternatives. How advertising integrates into this experience is a question Google hasn’t answered.

Looking Ahead

Google is making it faster for consumers to move from searching to taking action, but it’s also making it harder for businesses to see and measure their visibility. The buying experience shared at I/O was shown from the consumer side, with few details provided to help businesses appear within it. The feedback loop is getting harder to track. When a consumer leaves a purchase decision to an agent, the businesses that weren’t chosen might never know they were even part of the process.

(Source: Search Engine Journal)

Topics

ai search evolution 98% business impact 95% consumer demos 92% measurement challenges 91% economic risk 90% universal cart 89% Future Outlook 88% search optimization 88% agentic booking 87% user behavior 86%