Google pushes AI search ads beyond the U.S. as slowing search growth raises the stakes

Google is expanding AI-mode search ads into international markets on Oct. 28, a move that puts its newest search monetization tools in front of more users just as core search-ad growth cools. The timing matters because Alphabet’s largest revenue engine is still search advertising, and the company is under pressure to show that AI features can add revenue without weakening the product that already pays the bills.

Google is taking AI search ads global

According to TechCrunch, Google is extending AI-mode ads to international markets for the first time. The company has already been testing the format in the U.S., where it has been trying to pair generative search experiences with sponsored placements that feel native to AI-generated answers.

Philipp Schindler, Google’s chief business officer, framed the rollout as a broader scaling effort, saying:

We are now scaling high-quality ads within AI overviews in AI mode to more users and queries.

He added:

This includes taking our monetization footprint global for the first time.

The expansion is part of a wider push to prove that AI search can be commercially viable at international scale, not just a product experiment. Google is now moving from limited testing toward broader distribution, with AI-mode monetization reaching more queries and more users across markets.

Why it matters

This is more than a product update. Google search ads remain Alphabet’s main profit engine, and the company is trying to show that AI-assisted search can support that business rather than disrupt it. If the new ad formats work, Google may be able to preserve and even expand search monetization as users shift toward more conversational, longer AI queries.

The concern is equally clear: if AI search changes how people engage with results, ad load could become harder to balance. Google has said sponsored-product click-through rates in AI Mode are comparable to organic listings, and it says user research shows the ads are relevant. Those are important claims because they suggest the company believes it can monetize AI answers without making the experience feel more intrusive.

The rollout also arrives at a moment when investors are watching whether Google can offset slower growth in its core search business with new AI-driven formats and a fast-growing cloud segment.

What readers should watch

• Whether AI-mode ads roll out quickly or remain staggered by market.
• Whether ad engagement stays strong as the format expands internationally.
• Whether AI search revenue becomes meaningful enough to help slow search-ad growth.
• Whether Google adds more shopping and lead-generation tools outside AI Mode.

Search-ad growth is still positive, but it is slowing

Google’s push comes against a less comfortable backdrop. TechCrunch reported that Google Search ad growth decelerated to 12% year over year in the third quarter, down from 17% in the second quarter and 19% in the first. That slowdown does not suggest a collapse, but it does show that the pace is easing just as Google is asking investors to trust a new monetization model built around AI search.

Alphabet reported third-quarter revenue of $127.6 billion, up 25% year over year, and the market’s response was still cautious: Alphabet shares fell 8% after the earnings release. The company also reported $96.3 billion in Google Services revenue, up 11% year over year, and $30.7 billion in Google Cloud revenue, up 103% year over year.

Those figures tell two stories at once. Search remains the business that matters most, but Cloud is becoming a much larger contributor to overall momentum. The question for Alphabet is whether AI search can eventually become another pillar, or whether it remains a useful but limited layer on top of the existing search machine.

How does Google plan to monetize AI search?

Google is using several ad experiments to turn AI search into a revenue product. TechCrunch said the company earlier announced Gemini-powered ad formats in May, including conversational discovery ads and sponsored recommendations. BMI reported that Google is also testing conversational discovery ads in AI Mode and highlighted answers with sponsored recommendations in AI-generated lists.

That mix suggests Google is not betting on a single advertising format. Instead, it appears to be building a toolkit for different kinds of AI queries, from open-ended exploratory searches to product discovery and shopping intent.

According to BMI, Google plans AI-powered Shopping ads in the coming months outside AI Mode. BMI also said a Business Agent for Leads would replace static forms with chat-based interactions, while a Direct Offers pilot launched in January 2026 with Chewy, Gap and L’Oréal. The same report says Direct Offers expansion includes bundled promotions, local coupons, checkout integration and travel offers.

Background and context

Google has spent the past few years reworking search for the generative AI era. The broad challenge is straightforward: users are now getting more answer-like results up front, while advertisers still need clear opportunities to place commercial messages. That tension is why Google has been experimenting with AI overviews, AI Mode, sponsored recommendations and shopping-oriented prompts.

There is also a behavioral shift underway. TechCrunch reported that AI Mode queries are on average three times longer than traditional searches, a sign that users are asking more complex and conversational questions. Google also said one in five global AI Mode searches uses voice, images or documents, showing that search is no longer limited to text typed into a simple query box.

On top of that, Google says it has passed 50 billion visual searches per month. That volume matters because visual and multimodal search creates more surface area for product discovery, which in turn can support more ad formats tied to shopping, recommendations and practical decision-making.

This is why the current rollout is not just about adding ads to AI answers. It is about redesigning search monetization around longer, more contextual interactions that may be easier to commercialize than the old list-of-links model in some use cases.

By the numbers

What Google says about ad quality

Google is leaning heavily on the argument that AI ads can be useful rather than disruptive. The company says sponsored-product click-through rates in AI Mode are comparable to organic listings, and it says research indicates the ads are relevant. That is important because the company has to preserve trust if it wants AI search to scale without turning into a cluttered experience.

There is also a product-design question behind the monetization push. AI Mode can summarize, recommend and compare in a way standard search results cannot, but the more assistance Google offers, the more opportunities it creates to place commercial links inside the flow. The challenge is keeping those placements natural enough that users do not see the answers as being overrun by ads.

How the reporting lines up — and where it differs

TechCrunch and BMI are describing the same broader strategy, but they emphasize different parts of it. TechCrunch focused on the earnings backdrop, the international rollout and the pressure created by slower search-ad growth. BMI focused more on the product roadmap, including conversational discovery ads, sponsored recommendations in AI-generated lists, AI-powered Shopping ads and lead-generation tools.

Put together, the two reports suggest a company in transition. Google is not waiting for AI search monetization to become a finished product before expanding it. Instead, it is using live tests, staged rollouts and multiple ad surfaces to see what holds up as usage grows.

Background: why the earnings reaction mattered

Alphabet’s 8% share decline after the earnings release suggests investors were looking beyond the headline revenue number. The company delivered strong quarterly growth, but the market appears to be focusing on the quality and durability of that growth, especially in search. A business that grows more slowly in its core line while simultaneously asking investors to believe in a new AI monetization model has to persuade on both fronts at once.

Pichai said search queries grew at the fastest year-over-year pace in five years, according to TechCrunch. That points to healthy usage. But faster query growth does not automatically solve monetization questions. More searches only help if Google can place relevant ads without undermining the search experience.

That is the central tension in this story: usage is strong, product change is accelerating, and the company is still proving that the two can coexist profitably.

What happens next

The next several quarters should show whether AI-mode ads can become a meaningful contributor outside the U.S. and whether the international rollout is paced carefully or pushed broadly. Watch for updates on which markets get access first, how quickly Google extends the format, and whether ad performance remains consistent as the audience expands.

Investors will also be watching for any sign that AI search monetization can cushion slower search-ad growth. If the new formats produce real revenue without hurting engagement, Google can argue it has found a workable model for the AI era. If not, the company may need to lean even more on Cloud and other services businesses to support overall growth.

BMI’s reporting points to a broader pipeline of ad products still in testing, including AI-powered Shopping ads outside AI Mode and chat-based lead generation. That means the international expansion is probably not the end of the story. It looks more like the start of a wider rollout cycle that will test how much commercial weight AI search can carry.

Timeline

Bottom line

Google is expanding AI search ads beyond the U.S. at exactly the moment its core search-ad growth is slowing. That combination makes the rollout one of the clearest tests yet of whether generative search can be monetized globally without weakening the product that made Google dominant in the first place.