Google Search becomes an agent manager. Sundar Pichai made it clear in two interviews this spring:
“Many of the information-seeking queries are agent-executed in search. They’re doing tasks. There’s a lot of threads running.”
A week later, at Google Marketing Live 2026, Nick Fox, the SVP responsible for search, advertising and commerce, said the consequence:
“Optimizing for AI search is the same as optimizing for search. Create great 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 product.
This interface is already active. AI mode is in the Chrome address bar. Search agents run in the background on search queries that are too long for a single click. Auto Search in Chrome fills out forms and completes bookings on behalf of users with OS-level permissions. These are not separate products with separate optimization playbooks. They all inherit the same web.
What Pichai actually said
Pichai gave two interviews this spring that, taken together, paint the clearest picture of where Google search is headed. On the Cheeky Pint podcast in April 2026, he described the process: “If I fast forward, a lot of the purely information-seeking queries are being run in search as an agent. They’re going to be doing tasks. There’s going to be a lot of threads running.” He called it “Search as Agent Manager” and framed it as already happening in AI mode, where users are conducting deep research queries that don’t fit the classic keyword model.
Then, at Decoder with Nilay Patel after I/O 2026, he did something more revealing. Patel showed him a live AI summary score for the “best Chromebook” on his phone. Pichai looked at it and said, “It’s probably more opinionated than it should be for the specific question you showed me.”
This admission is more important than the convergence statement. He doesn’t act like the product is finished. He called it room for improvement in a rapidly evolving area. In the same interview, he also said that Google is committed to driving traffic to the web: “Everything we do, we’re going to be sending a lot of traffic to the web in five years. I think that’s the product direction we’re committed to.”
Both claims appear side by side in the same interviews. The product direction is convergence: search queries become agents, tasks are completed within search, agents search on behalf of users. The promise is continuity: traffic will continue to flow to websites. Keep both in mind at the same time, because the gap between the direction and the promise is where your risk lies.
Nick Fox said the same thing from a different angle
At Google Marketing Live 2026, Nick Fox sat down with Ben Smith from Semafor and addressed the optimization question directly. Fox is Google’s SVP of knowledge and information, the person in charge of search, advertising and commerce. His statement: “The path to optimizing for AI search is the same path to optimizing for search. Create great content.”
He added a qualifier: “Go beyond the surface.” His reasoning is that AI processes first-level answers, so the content that the AI search executes goes deeper than the summary the model already produces. “If you want to buy something, you don’t want to hear what the AI says. You want to hear someone who has used it.” This is the distinction between commodity and non-commodity content that Google has been using for some time: If AI can provide the answer itself, then your content must offer something that AI can’t.
No Hacks guest Jono Alderson has been saying this for over a year. The content that the AI ignores is the content that reflects what the model already knows. The content that is cited is the content that contains something that the model needs to retrieve because it cannot generate it: original data, first-person experience, specificity of named entities, a setting that the model cannot produce confidently enough.
When the CEO says the products are converging and the SVP says the optimization is the same, the conclusion is obvious: one strategy, not two. The separate “AEO strategy” or “GEO strategy” that consultants have been selling as a new discipline collapses when the provider itself says it is a single playbook. The r/TechSEO community came to the same conclusion this week when Google released its official guide to AI optimization: “Basically, it’s just SEO.”
What this means for the website you are building
The site that is suitable for classic search is the same site that is suitable for agents. HTML rendered by the server so that the content is viewable without JavaScript hydration. A study I published this week looked at 274 fintech companies and found that 36% are invisible to AI crawlers in part because they rely on JavaScript to display core content. 17% do not deliver content without JS execution. The solution is not complicated. 99% of these websites deliver full content after playback. The gap is the default: raw HTML first, not JS rendered eventually. Semantic markup so the agent knows what the item is. Structured data so that identity is machine readable. Fast delivery so neither the crawler nor the agent times out. Internal linking so that both the index and the agent can navigate fully.
None of this is new. These are the same requirements that Google published in April in its agent-friendly checklist, and they correspond directly to what AI agents read when they visit your site: the accessibility tree, the semantic structure, the extractable content.
The companies that viewed agent readiness and search optimization as the same discipline were right. They weren’t early. The provider confirmed what practice had already shown: the test is the same test applied to a class of visitors that now includes both humans in Google Search and agents in AI mode.
Build for a playbook: machine-readable identity, extractable content, discoverable actions, server-rendered and semantic and structured and fast and well-connected. This description fits classic search and the agent web, as well as the product Pichai describes, which is both at the same time.
Pichai admitted that the product is not ready yet. More Stubborn Than It Should Be is a refreshingly honest read of a product in motion. The gap between the state of AI Overviews today and the state of search as an agent manager is your window. The direction is given. Now you’re building for a playbook and you’re building for the product that Google becomes.
Additional resources:
This post was originally published on No Hacks.
Featured Image: Meepian Graphic/Shutterstock
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