Google Takes AI Search Advertising Worldwide as Traditional Search Growth Cools

Table of Contents

• You might want to know


• Main Topic


• Key Insights Table


• Afterwards...

You might want to know

• Why is Google expanding advertising in AI-powered Search experiences internationally while growth in its core search ad business is slowing?


• What do early signals about user engagement and advertising performance suggest about the commercial potential of AI Search?

Main Topic

Google is extending advertising in its AI-powered Search experiences to international markets, seeking new sources of revenue as growth in its established search advertising business decelerates. The announcement was made on Wednesday during Alphabet’s third-quarter earnings call. The expansion reflects a strategic effort to connect generative AI features with the company’s advertising model, while giving advertisers more opportunities to appear in answers and conversations shaped by AI.

Alphabet reported revenue of $127.6 billion for the quarter, an increase of 25% year over year. At the same time, Google Search advertising growth continued to slow. Google Search revenue increased 12% year over year in the third quarter, compared with 17% growth in the second quarter and 19% in the first quarter. Following the results, Alphabet shares fell 8%.

This change in growth rates makes the performance of newer advertising formats particularly important. Google has invested in AI features that alter how people ask questions and explore information. The company now needs to determine whether those experiences can support meaningful advertising revenue while remaining useful and relevant to users. The international launch signals that Google is moving beyond testing AI Search advertising and beginning to expand its commercial reach.

Philipp Schindler, Google’s chief business officer, told investors that the company is scaling what it describes as high-quality ads within AI Overviews and AI Mode to more users and queries. He said the expansion takes Google’s monetization footprint global for the first time. The announcement also included multi-turn ads and AI Mode in the U.S., combining the international rollout with additional development in the company’s domestic market.

AI Overviews provide AI-generated summaries within Search, while AI Mode offers a more conversational search experience. In these settings, advertising may appear alongside generated answers or within an ongoing exchange. Multi-turn formats are intended to support interactions that develop over several steps, rather than a single query and response. These approaches potentially give advertisers ways to reach people as they investigate a topic, compare options, or refine a request.

Google has pointed to early performance indicators as evidence that the formats may be viable. According to Schindler, click-through rates for sponsored product listings in AI Mode are already comparable to those for organic listings. The company’s user research also indicates that people consider the ads relevant. These findings offer an initial view of engagement, but they do not by themselves establish how the formats will perform across markets, categories, or longer periods.

The expansion follows Google’s May announcement of new Gemini-powered ad formats. Those formats included conversational discovery ads, which respond to users’ questions, and sponsored recommendations integrated into AI-generated answers. Together, the developments show how Google is exploring advertising that fits into more interactive, context-rich Search experiences, rather than relying solely on conventional placements alongside a list of links.

Google CEO Sundar Pichai said Search queries grew at their fastest year-over-year rate in five years, but did not provide the exact growth rate. He attributed changes in Search use partly to AI features, which can encourage people to ask longer and more complex questions. This distinction matters: the company’s remarks suggest that search activity is changing, even as the growth rate of Search advertising revenue has moderated.

Pichai said queries in AI Mode are three times longer on average than traditional searches. He also said one in five AI Mode searches globally involves voice, images, or documents. Separately, Google has surpassed 50 billion visual searches per month. These figures describe the growing range of ways people interact with Search, including queries that use more than text alone.

Longer and multimodal queries may give the system more context about a user’s needs. In principle, that context could help determine which information and sponsored results are relevant. However, it also raises practical questions about how advertising is presented within generated responses, how users distinguish sponsored material from other content, and how systems protect the quality and usefulness of answers. The balance between monetization and trust will be central as these formats reach more users.

“[Search] is bringing the benefits of AI to more people than any other product in the world,” Pichai told investors. He added that people are using Google’s AI features more and searching in new ways, with queries that are longer, personalized, and multimodal. His comments frame the AI expansion as both a product shift and a change in user behavior, rather than simply a new advertising placement.

Google’s wider financial results provide context for the strategy. Alphabet’s Google Services division, which includes Search, generated $96.3 billion in revenue, up 11% year over year. Google Cloud revenue rose 103% to $30.7 billion. These results show that Alphabet’s businesses are growing at different rates, and they underscore why the company is exploring ways to sustain its largest advertising engine while also expanding other areas.

The quarter was also marked by product developments. Google released Gemini 4 Argon, the Gemini app grew to one billion monthly users, and the company launched its Pixel 11 lineup. Together with the expansion of AI Search advertising, these developments illustrate a broad push to integrate AI across products and services. The advertising rollout is one part of that effort, linking improvements in AI-based user experiences to the company’s core commercial model.

There are still important uncertainties. Comparable click-through rates and positive user research are early indicators, not a complete account of long-term effectiveness. Results may differ as ads enter more countries, languages, and search contexts. Advertisers will also assess whether the new formats deliver consistent outcomes, while users may respond differently depending on how clearly and helpfully sponsored content is incorporated into AI-generated experiences.

For Google, the central challenge is to expand the reach of AI features without weakening the relevance and credibility that people expect from Search. For advertisers, the opportunity is access to emerging formats that may reflect more detailed user intent. For users, the value will depend on whether AI-assisted answers remain useful and whether advertising is presented transparently. These interests will shape how quickly the new formats become an established part of Search.

Key Insights Table

Afterwards...

The next phase of AI-powered Search will depend on more than the ability to insert advertisements into generated answers. Companies, researchers, and regulators will need to understand how people evaluate sponsored recommendations, how advertising disclosures work in conversational interfaces, and how systems can provide useful answers without allowing commercial incentives to distort them. Continued assessment across markets and user groups can help clarify both the benefits and the risks.

Further exploration of multimodal search may also be important. As people use voice, images, and documents to express what they need, search systems will need to interpret varied inputs reliably and make the sources of information understandable. Research into privacy, accuracy, accessibility, and user control can help ensure that these capabilities serve a wide range of people.

For Google and the broader technology sector, a durable approach will require transparent measurement of advertising performance alongside careful evaluation of user experience. The most consequential question is whether AI can make Search more helpful while keeping commercial content clearly identifiable and genuinely relevant. The answer will shape not only the future of search advertising, but also public confidence in AI systems used to find and interpret information.