Google Search becomes an agent manager. Sundar Pichai made this clear in two interviews this spring:
“A lot of the information search queries will be agents in the search. You will be performing tasks. You will have many threads running.”
A week later, at Google Marketing Live 2026, Nick Fox, the senior vice president who oversees search, ads and commerce, said the corollary:
“The way to optimize AI search is the same as how to optimize search. Create quality content.”
When the CEO describes a product direction and the SVP confirms the optimization path, treating search and agents as two separate disciplines means running two playbooks for a single product.
This surface is already active. AI mode can be found in Chrome’s address bar. Research agents running in the background on queries that are too long for a single click. Automatic navigation in Chrome fills out forms and completes reservations on behalf of users with operating system-level permissions. These are not separate products with separate optimization playbooks. They all inherit the same network.
What Pichai actually said
Pichai gave two interviews this spring that together paint the clearest picture of where Google search is heading. On the April 2026 Cheeky Pint podcast, he described the trajectory: “If I fast forward, a lot of what are just information search queries will be agents in the search. You’ll be doing tasks. You’ll have a lot of threads running.” He called it “Search as an Agent Handler” and presented it as already happening in AI mode, where users run deep search queries that don’t fit the classic keyword model.
Then, on Decoder with Nilay Patel after I/O 2026, he did something more revealing. Patel showed him a live AI presentation result on his phone for the “best Chromebook.” Pichai looked at him and said, “He’s probably more opinionated than he should be on the particular question you showed me.” »
This admission matters more than the declaration of convergence. It does not claim that the product is finished. He called this room for improvement in a rapidly evolving space. In the same interview, he also said that Google is committed to sending traffic to the web: “Everything we do, you’ll see us in five years sending a lot of traffic to the web. I think that’s the product direction we’re committed to.”
The two assertions come together in the same interviews. The product’s focus is convergence: search queries become agents, tasks are accomplished in search, agents navigate on behalf of users. The promise is continuity: traffic will continue to flow to websites. Keep both in mind at the same time, because it is in this gap between direction and promise where your risk lies.
Nick Fox said the same thing from a different angle
HAS Google Live Marketing 2026Nick Fox spoke with Ben Smith from Semafor and addressed the issue of optimization directly. Fox is Google’s senior vice president of knowledge and insights, the person who oversees search, ads and commerce. His statement: “The way to optimize search with AI is the same way to optimize search. Create quality content.”
He added a qualifier: “Going beyond surface level.” His reasoning is that the AI handles the top-level answers, so the content performed in the AI search is content that goes deeper than the summary already produced by the model. “If you’re looking to buy something, you don’t want to hear what the AI says. You want to hear from someone who’s used it.” This is the distinction between commercial and non-commercial content that Google has used for some time: if the AI can produce the answer itself, your content must offer something that the AI cannot.
This is also what the guest from No Hacks suggests Jono Alderson said for over a year. Content ignored by the AI is content that restates what the model already knows. Cited content is content that contains something that the model must retrieve because it cannot generate it: original data, first-person experience, specificity of the named entity, a catch that the model is not confident enough to produce on its own.
When the CEO says the products are merging and the SVP says the optimization is the same, the implication arises: one strategy, not two. The separate “OAS Strategy” or “GEO strategy,” which consultants sell as a new discipline, falls apart when the vendor itself claims it is just a manual. The r/TechSEO community came to the same conclusion this week, when Google released its official AI optimization guide: “It’s basically SEO.”
What this means for the website you’re building
The website that works for classic search is the same website that works for agents. Server-rendered HTML the content is therefore visible without JavaScript hydration. A study I published this week measured 274 fintech companies and found that 36% of them are partially invisible to AI crawlers because they depend on JavaScript to render the main content. 17% provide no content without JS execution. The solution is not complicated. 99% of these same websites provide complete content when rendered. The gap is the default: raw HTML first, not ultimately rendered as JS. Semantic markup so the agent knows what each element is. Data structured so that identity is machine readable. Fast delivery, so neither the crawler nor the agent expires. Internal link therefore both the index and the agent can navigate the entire surface.
None of this is new. These are the same requirements that Google published in its agent-friendly checklist in April, and they correspond directly to what AI agents read when they visit your website: the accessibility tree, the semantic structure, the extractable content.
Companies that treated agent grooming and search optimization as one discipline were correct. They were not early. The provider confirmed what practice was already showing: the audit is the same audit applied to a class of visitors that now includes both humans on Google Search and agents in AI mode.
Build for a single playbook: machine-readable identity, extractable content, discoverable actions, server-rendered and semantic and structured and fast and well-linked. This description corresponds to classic research and the web agent and the product that Pichai describes, which is both at the same time.
Pichai admitted that the product was not finished. “More Opinionated Than It Should Be” is a refreshingly honest reading of a product in motion. The gap between the current state of AI insights and the direction of research as an agent manager is your window. The direction is fixed. Create a playbook now and you are building for the product that Google is becoming.
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This article was originally published on No hacks.
Featured Image: Meepian Graphic/Shutterstock
