Google Rebuilt Search Around AI. Don’t Throw Away Your SEO Playbook.
Google's AI-powered Search overhaul, unveiled at I/O 2026, is accelerating the push for marketers to rethink SEO and embrace AEO. Credit: OpenAI ChatGPT

IN THIS ISSUE: Google didn’t just update Search at I/O this week. It rebuilt it around AI, with consequences for every marketer who has spent years optimizing for a SERP that no longer looks the same. This issue examines what the shift from SEO to Answer Engine Optimization actually means for businesses trying to stay visible in an AI-first search environment, and what two digital marketing veterans say companies should do about it. 

Programming note: The AI Economy on LinkedIn will take a summer hiatus after June 5 and return on July 10.

The Prompt

Google’s AI ambitions have finally caught up with Search, and the marketing playbook that ruled the web for decades may need a complete rewrite. At Google I/O this week, the company unveiled what it calls the biggest upgrade to its search box in over 25 years—an AI-powered reimagining of Search’s most fundamental interface. It’s indeed a historic change to something Chief Executive Sundar Pichai calls the “ultimate moonshot,” and that’s long been synonymous with Google’s very identity. 

This isn’t AI appended to Search. It’s Search rebuilt around AI, and the difference has profound implications for how businesses think about being found online. The search engine results page (SERP) we’ve come to know has already begun transforming from generic results into something personalized to the individual. But this didn’t happen overnight—it started in earnest in 2023 with the introduction of the Search Generative Experience. When you type in a query, an AI-generated response now sits above the traditional results, changing not just what you see first, but whether you scroll further at all.

Now, Google is pushing that reimagining further than ever, leaving marketers to wrestle with a question that would have seemed radical just two years ago: Is it time to prioritize Answer Engine Optimization (AEO) over Search Engine Optimization (SEO)?

Google I/O 2026: Liz Reid, Google's vice president of Search, speaks about the new AI-powered search engine. Credit: YouTube screenshot
Google I/O 2026: Liz Reid, Google’s vice president of Search, speaks about the new AI-powered search engine. Credit: YouTube screenshot

“Search is no longer just about finding links,” Jim Yu, CEO of enterprise search platform BrightEdge, told The AI Economy. To him, Google’s latest moves are confirmation of something he’s been tracking for some time: the rise of what he called the “answer” economy. “Users want a conversational, AI-led experience where answers and recommendations happen immediately, inside the search environment itself.”

Yu reasoned that this is positive news for businesses since “it creates more ways to be discovered when people are asking high-intent questions.” Still, he doesn’t think marketers should throw away their SEO playbook. The fundamentals that made this practice work—strong content, technical discoverability, domain authority, trustworthiness, etc.—are the same ones that make content visible to AI systems. 

“The companies that win here will be the ones that build on a strong SEO foundation and extend it into AEO. It’s still search, but its shape has changed,” Yu said.

Anne Ahola Ward, CEO of digital marketing firm CircleClick, doesn’t mince words: “Some businesses will thrive because of these changes, and others will perish.” Consider the numbers: She said around three-quarters of queries are now resolved without users ever leaving Google, and AI’s relationship with web traffic tells an even starker story. OpenAI’s scrape-to-visitor ratio is estimated to be at 1,500-to-1, while Anthropic’s is at 6,000-to-1. AI is consuming the web’s content without returning its traffic. For marketers, the implication is uncomfortable: content visibility and site traffic are no longer the same thing.

“To be an SEO means your world is constantly changing,” she wrote in an email. “You’ve got to be a Great White Shark and keep swimming, or you will die. I’ve seen more change in the last year than I have in the past ten or more—it’s quite exciting.”

How Google Just Transformed AEO

The rise of AI chatbots like OpenAI’s ChatGPT, Perplexity, Anthropic’s Claude, and Google Gemini created what Yu has previously described as a “searchquake” in marketing. As users increasingly turned to these tools for answers, companies were forced to rethink their content strategies as a growing amount of referral traffic from generative AI began to reshape how audiences found them online. 

Google I/O 2026: Liz Reid, Google's vice president of Search, declares "Google Search is AI Search." Credit: YouTube screenshot
Google I/O 2026: Liz Reid, Google’s vice president of Search, declares “Google Search is AI Search.” Credit: YouTube screenshot

For Google, the adoption numbers are striking. AI Overviews, the AI-generated summaries appearing atop Google’s SERP, now reach over 2.5 billion users each month. AI Mode, its fully conversational search experience, has surpassed one billion monthly users, with queries more than doubling every quarter since launch. “Google Search is AI search,” Liz Reid, Google’s vice president of Search, declared during her I/O keynote. 

Now that Google has embedded AI via Gemini into the fabric of Search—it’s no longer part of the experience, but all of it—it has direct consequences for how businesses think about visibility. “Google’s latest moves make it clear that AI-led discovery is becoming part of the core search experience,” Yu said. “Marketers have to understand how AI systems interpret brand authority, summarize content, compare options, cite sources, and surface recommendations.” He suggested that marketers start to measure their AI visibility alongside classic SEO rankings.

Consumers will find the new Google Search more responsive to how they actually think and communicate. The clipped, keyword-heavy queries that once dominated Search are replaced by something more conversational. Google is now built to handle both, but increasingly optimized for the latter. It’s also deeply personalized for the individual—the SERP of old was essentially the same for everyone with identical results, though ranked by signals like domain authority, backlinks, and keyword relevance. It was optimizing for the query, not for you. The Google I/O announcements are designed to surface information relevant to your context, history, and intent.

Google isn’t just reimagining the search bar—it’s also reimagining what a search result can be. Rather than returning a static page of links, consumers will be able to generate custom layouts, interactive visuals, and functional mini-apps tailored to their queries in real time. Generative UI in Search is powered by Google’s agentic development platform Antigravity and its newest AI model, Gemini 3.5 Flash. 

“Search plans the ideal response from scratch. It designs the layout, decides what custom components to build, fans out to do the research, and then finally deploys the code to build custom components…in the response,” Robby Stein, Google’s vice president of product for Search, said during the Google I/O keynote.

Google I/O 2026: Robby Stein, Google's vice president of product for Search, talks about the Generative UI in Search feature coming this summer. Credit: YouTube screenshot
Google I/O 2026: Robby Stein, Google’s vice president of product for Search, talks about the Generative UI in Search feature coming this summer. Credit: YouTube screenshot

Google Search is also entering its agentic era. The first agents it’s introducing are a natural fit for a company built on helping people find information, operating in the background while continuously monitoring the web for changes relevant to your specific interests. And rather than waiting for you to search, they proactively surface synthesized updates and can take action on your behalf, flagging new apartment listings that match your criteria or alerting you to a sneaker drop from your favorite athlete, for example.

Ahola Ward cautions that these are features marketers haven’t been considering. “Agent search favors content where AI systems can directly extract information, not content optimized for human readability,” she said. “That’s a fundamental inversion of how we’ve been building pages for decades.” 

The implications extend beyond organic search, impacting search engine marketing. “Paid search will not disappear, but the context around ads will change as more interactions happen inside LLMs,” Yu noted. “Marketers need to understand how paid, organic, AI summaries, and agentic actions work together in a singular customer journey.” The future of search, he argues, is all about retrieval, reasoning, recommendation, and action, powered by generative and agentic AI.

For marketers, this shift leaves them with an urgent strategic question: if Search is now built around the individual, what does it take to be found by one?

Don’t Give Up on SEO

For Yu and Ahola Ward, the answer starts with not abandoning what already works. Both described this moment as an expansion of SEO rather than a replacement.

“The Ten Blue Links aren’t dead, but they’re no longer everything,” Yu argued. Think of SEO as being the foundation and AEO as the growth layer, he suggested. “You need to be discoverable in traditional search as well as understand how AI answers are being constructed to see if your brand is included in those answers.”

“What changes is what you’re optimizing for,” Ahola Ward said. “You’re no longer just trying to rank. You’re trying to be the source that AI reaches for in your category.” She noted that while traditional SEO still works best for branded and navigational queries, for informational and comparison queries, “the answer is increasingly happening inside Google before anyone clicks.”

Notably, Google itself has pushed back against any notion that SEO is obsolete. The company has published guidance affirming that SEO continues to “be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems.” In other words, the AI is built on top of the same web that SEO has always served. 

Google I/O 2026: Liz Reid, Google's vice president of Search, announces the new AI Search experience is available today. Credit: YouTube screenshot
Google I/O 2026: Liz Reid, Google’s vice president of Search, announces the new AI Search experience is available today. Credit: YouTube screenshot

What Do Marketers Do Now?

The scale of Google’s Search transformation can make the impulse to act immediately feel urgent, but both experts caution against rash decisions or racing to integrate new AEO tools before the fundamentals are in place. 

“Marketing first needs to understand where brands show up in AI searches today,” Yu said. “You need visibility into how you are being described, what sources the engines use, and where competitors are being favored.” He advises companies to strengthen their SEO foundation and create content that answers the questions their customers are asking, with attention to depth and clarity. And websites must be accessible to AI crawlers. “Brands need to work backward from the sources AI engines rely on, pinpointing the sources that matter for your category and audience,” Yu added. “The strongest AEO strategies will be built on strong SEO.”

Ahola Ward encourages companies to work with a developer to audit their structured data. By doing so, she said, marketers will know whether AI systems can truly understand what the business is and what makes it credible. She also recommends that content be written by a human and easily summarized without sacrificing meaning. “Everything we create has two audiences—human and our robot friends, the agents,” she said. 

Underscoring this, The Economist revealed this week that it’s creating two versions of its site, tailored for humans and for agents. “Every brand should be asking whether its content architecture serves both humans navigating a page and machines parsing it for synthesis, as those two things tend to conflict,” Ahola Ward added. “The underlying principle here is that AI systems are now a genuine audience with different consumption patterns than humans, which is key to remaining discoverable in the next few years.”

She also warned marketers to be skeptical of agencies suddenly rebranding themselves as “AEO experts,” saying, “People have been wanting to rename and rebrand SEO as long as I’ve been one (since the 2000s). The shops thinking about agent tooling, structured data, and machine-readable content for the last few years are the ones worth listening to. Everyone else is just branding themselves and their reports.”

To Yu, this marks the start of search’s next chapter, created by AI because “it changes how information is synthesized and how decisions are made.” For companies to remain visible and protect their search presence, he contends they need to adapt early by building on their SEO fundamentals and extending into AEO. “They will shape how their brands are understood in the AI era.”

Don’t Miss out on ‘The AI Economy’

Quote This

“Compute is revenues, compute is profit. The hyperscale CapEx is at $1 trillion and it’s growing towards the $3 trillion to $4 trillion.”

— Nvidia CEO Jensen Huang, making the case at the company’s Q1 FY2027 earnings call that AI infrastructure spending is nowhere near its peak. For the hyperscalers, compute has become the direct driver of revenue and profit.

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