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The case for Google Search adapting to AI agents

One post argues that search ads help people discover products before they know exactly what they want to buy.

Eric SeufertES
Mobile Dev MemoMD
2 Sources, 11h ago, first seen 11h ago

TLDR

One post argues that personal experiences are too narrow a basis for predicting Google Search’s demise because of Muse. It points to search ads’ role in product discovery, Google’s browser and mobile platform, and its existing AI products as reasons Google could adapt to shopping through AI agents. The author also expects Muse to rely on advertising to generate meaningful revenue at scale.

Combined views

7.5K

2 Sources, first seen 11h ago

69 likes8 comments49 saves9 reposts

Combined views

7.5K

2 Sources, first seen 11h ago

69 likes8 comments49 saves9 reposts

Mobile-industry analyst Eric Seufert is pushing back on the idea that Muse and other AI agents will inevitably kill Google Search. In a post outlining his case, he argued that personal experience with a product is too narrow a basis for explaining the business model of a company the size of Google or predicting its disruption.

Featured Source

Search ads do more than capture a query

Seufert’s case starts with product discovery. Search advertising, he wrote, can expand beyond the exact keywords a shopper enters, while many shopping journeys begin before someone knows precisely what they want to buy. Advertisers can also test whether search spending produces additional revenue. He acknowledged that some search ad spending is wasted, but said that is true of every advertising channel.

Google already owns the distribution

The other half of the argument is reach. Seufert pointed to Google’s browser, mobile platform, integrated consumer products and existing AI services as tools it could use to adapt shopping to agent-driven interfaces. He also cited Universal Commerce Protocol, Universal Cart and agentic checkout as signs that the shift is already underway.

That does not mean Google’s position is guaranteed. It is Seufert’s argument that reducing Search to a system that charges for traffic it once supplied organically misses both its discovery value and Google’s ability to change. He also expects Muse to need significant revenue at scale and predicts advertising will probably be part of that model.

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Useful links

Google

A new era for AI Search

CNN · YouTube

The best way to search for info online in the AI era | Terms of Service

Google

How AI is changing consumer search behavior – Think with Google

Bernard Marr · YouTube

The Future Of Google Search, Maps And AI Agents

Google

Create & capture demand in the AI Search era - Think with Google

Aishwarya Srinivasan · YouTube

Google's Head of Search on Agents, Multimodal, and the Future of Search

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

Useful Links

Google

A new era for AI Search

Google

How AI is changing consumer search behavior – Think with Google

Google

Create & capture demand in the AI Search era - Think with Google

Related Videos

  • The best way to search for info online in the AI era | Terms of ServiceCNN · YouTube
  • The Future Of Google Search, Maps And AI AgentsBernard Marr · YouTube
  • Google's Head of Search on Agents, Multimodal, and the Future of SearchAishwarya Srinivasan · YouTube

Useful Links

Google

A new era for AI Search

Google

How AI is changing consumer search behavior – Think with Google

Google

Create & capture demand in the AI Search era - Think with Google

Related Videos

  • The best way to search for info online in the AI era | Terms of ServiceCNN · YouTube
  • The Future Of Google Search, Maps And AI AgentsBernard Marr · YouTube
  • Google's Head of Search on Agents, Multimodal, and the Future of SearchAishwarya Srinivasan · YouTube

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2 Sources

Eric Seufert@eric_seufertAnecdotes and personal experiences can be useful tools for understanding the utility of products for specific use cases, but I think it’s a mistake to use such a narrowly-scoped instrument to try to explain the business models of trillion-dollar companies — and, more contemporaneously, why they’ll be utterly disrupted by AI. Certainly this is true for a company like Google $GOOGL, as the mechanics of digital advertising are more complex than they might appear when looking at the results for any given query. The notion that Search merely, exclusively monetizes the results that would have otherwise been exposed organically, almost like a protection racket, is flawed. Search ads offer keyword adjacency / expansion tools, and shopping journeys start long before a consumer knows exactly which product they want to buy. Further, marketing teams can test their spend for revenue incrementality; doing so with Google Search is straightforward. Certainly some Search ad spend is wasted but that’s true for every ad channel. “Google Search dies because of Muse” ignores the incremental product discovery value of search advertising, the fact that Google has launched its own AI products that currently reach in aggregate billions of people per month (AI Overviews: 2.5BN, AI Mode: 1BN), the fact that Google owns the most popular browser, the fact that Google operates a mobile platform, and the fact that Google operates a suite of consumer products that are all deeply integrated. And in the context of this specific argument, it also ignores the fact that Muse will need to generate meaningful revenue at scale and will almost certainly do so with advertising. In some ways, Google Search has already died (and been resurrected in a different form). This is the premise of my Google’s Gambit series, which I started publishing long before Muse. The company is adapting in real time to new consumer interaction models. If consumers find agents useful for product discovery, there is no reason to believe that Google *can’t* accommodate that. But to reduce a ~$250BN annualized business to a consumer- and advertiser-hostile protection racket, and then assume that Google cannot adapt its distribution and monetization machinery to an agentic consumer workflow (which it already partially has, through Universal Commerce Protocol, Universal Cart, agentic checkout, etc.), is, in my view, overly simplistic and naïve.11h
Mobile Dev Memo@MobileDevMemoRT @eric_seufert: Anecdotes and personal experiences can be useful tools for understanding the utility of products for specific use cases,…10h
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    2 Sources

    Eric Seufert@eric_seufertAnecdotes and personal experiences can be useful tools for understanding the utility of products for specific use cases, but I think it’s a mistake to use such a narrowly-scoped instrument to try to explain the business models of trillion-dollar companies — and, more contemporaneously, why they’ll be utterly disrupted by AI. Certainly this is true for a company like Google $GOOGL, as the mechanics of digital advertising are more complex than they might appear when looking at the results for any given query. The notion that Search merely, exclusively monetizes the results that would have otherwise been exposed organically, almost like a protection racket, is flawed. Search ads offer keyword adjacency / expansion tools, and shopping journeys start long before a consumer knows exactly which product they want to buy. Further, marketing teams can test their spend for revenue incrementality; doing so with Google Search is straightforward. Certainly some Search ad spend is wasted but that’s true for every ad channel. “Google Search dies because of Muse” ignores the incremental product discovery value of search advertising, the fact that Google has launched its own AI products that currently reach in aggregate billions of people per month (AI Overviews: 2.5BN, AI Mode: 1BN), the fact that Google owns the most popular browser, the fact that Google operates a mobile platform, and the fact that Google operates a suite of consumer products that are all deeply integrated. And in the context of this specific argument, it also ignores the fact that Muse will need to generate meaningful revenue at scale and will almost certainly do so with advertising. In some ways, Google Search has already died (and been resurrected in a different form). This is the premise of my Google’s Gambit series, which I started publishing long before Muse. The company is adapting in real time to new consumer interaction models. If consumers find agents useful for product discovery, there is no reason to believe that Google *can’t* accommodate that. But to reduce a ~$250BN annualized business to a consumer- and advertiser-hostile protection racket, and then assume that Google cannot adapt its distribution and monetization machinery to an agentic consumer workflow (which it already partially has, through Universal Commerce Protocol, Universal Cart, agentic checkout, etc.), is, in my view, overly simplistic and naïve.11h
    Mobile Dev Memo@MobileDevMemoRT @eric_seufert: Anecdotes and personal experiences can be useful tools for understanding the utility of products for specific use cases,…10h
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