What did Google announce about AI Mode ads?
Google will show ads inside AI Mode, its conversational search product, in ten more countries. The company announced the expansion on 28 October 2026 in a blog post published while Alphabet reported third-quarter results. The ten markets are Australia, Canada, India, Kenya, Malaysia, New Zealand, Nigeria, Pakistan, the Philippines and Singapore.
Google said it plans to add Brazil, Mexico and the United Kingdom in the fourth quarter of 2026. The company also started running multiturn ads in the United States. These place sponsored results in answers to follow-up questions, not just in the first response. A Google spokesperson told Search Engine Roundtable that multiturn ads appear as people move back and forth in an AI Mode conversation.
Every ad keeps a "Sponsored" label, according to Google's post. The company described the change as scaling rather than relaunching. Ads already run in AI Mode in the United States. Google says it is now widening that inventory to more queries and more users. Philipp Schindler, Google's chief business officer, told investors the company is "taking our monetization footprint global for the first time".
The timing was not accidental. TechCrunch reported that the announcement came during Alphabet's earnings call, after results that left the stock down about 8%. The expansion speaks directly to the weakest number in those results: growth in search advertising.
AI Mode sits alongside the standard results page rather than replacing it. Google introduced the mode in 2025. In May 2026 it rebuilt the Search box around AI, and the new box rolled out wherever AI Mode is available. The ads expansion follows that shift in usage. As more searches start in a conversational interface, the inventory that matters moves with them. So does the budget attached to it.
Why is Google expanding AI Mode ads now?
Alphabet's third-quarter revenue rose 25% to $127.6 billion, and Google Search & other revenue rose 12% to $63.35 billion. The problem is the trend. Google's search revenue grew 17% in the second quarter, according to Quartz, so the third-quarter rate is roughly five points lower. Total Google advertising, which adds YouTube ads and the network business, reached about $82.0 billion, up 10.5%.
Profit and spending moved in less comfortable directions. Net income fell to $26.2 billion from $35.0 billion a year earlier, and earnings per share came in at $2.12. Capital expenditure more than doubled to $51.4 billion from $24.0 billion, and free cash flow was negative $9.1 billion for the quarter. PPC Land reported that revenue slightly missed the $127.93 billion consensus. Advertising also missed the $83.5 billion analysts expected.
On the call, Schindler pointed to AI Mode itself as one cause. He said strong growth in AI Mode had "an impact because of the lower monetization we were seeing in AI mode". He added that Google still feels "very good about our trajectory here". PPC Land's account of the call says AI Mode carries fewer ads than a conventional results page. That fits the revenue math.
The counterweight is volume. Sundar Pichai said in the earnings release that AI investments are driving overall Search query growth. Alphabet also reported its highest year-over-year query growth rate in five years. Chief financial officer Anat Ashkenazi put it as the company's "highest query growth in half a decade", according to PPC Land.
Put those two facts together and the strategy becomes easier to read. More people are searching, and AI Mode answers produce fewer ad slots per visit. Google's answer is to sell ads in more places and more countries. That way the same query growth can be monetised again.
Advertising supplied about 64% of Alphabet's revenue in the quarter. A two-point slowdown in search growth therefore moves the whole company. The offset came from Cloud, where revenue grew 103% to $30.7 billion. Even so, the advertising line is the one that funds the AI build-out, and it is the line that disappointed analysts.
How do ads work inside AI Mode?
AI Mode replaces the familiar list of links with a full-page, conversational answer that can run across several turns. Google says queries in AI Mode are, on average, three times longer than traditional searches. The product passed one billion monthly users in the year after its 2025 debut, according to Google's I/O 2026 post.
Ads appear as sponsored product listings inside AI-generated answers and alongside them. Google says its research shows that "click-through rates are already similar between sponsored and organic product list items within AI Mode". That claim compares sponsored product tiles with organic product tiles, not with classic text ads. Google has not published the underlying study. Search Engine Roundtable's Barry Schwartz noted the comparison leaves open how text-style links perform.
Google tells advertisers to prepare campaigns with Performance Max and AI Max for Search, its two main automation products. Buying still happens through Google Ads. The creative and the placement, however, are increasingly generated or chosen by Google's systems. That shifts more of the optimisation work away from manual keyword management.
Google has not published eligibility rules for the newer units. There is no public list of which queries trigger a Highlighted Answer. Nor is there data on how many sponsored tiles an answer can hold or what share of sessions include an ad. Advertisers cannot yet plan an AI Mode campaign the way they plan a branded search campaign.
Product data carries more weight in this setup. The AI-powered Shopping format has Gemini pull a merchant's products and write a bespoke explainer from them. A thin or inaccurate catalogue leaves the model with less to work with, so catalogue quality becomes part of the creative brief.
Google is also building new formats that lean on Gemini, its model family.
- •Conversational Discovery ads, which rewrite creative around a specific user question.
- •Highlighted Answers, which place eligible ads inside AI Mode recommendation lists.
- •AI-powered Shopping ads, which add a Gemini-written explainer to product ads.
- •Business Agent for Leads, a chat agent that sits inside an ad and answers questions from a brand's site.
- •An expanded Direct Offers programme that adds native checkout and travel deals, with Booking and Expedia named as upcoming partners.
What does this mean for advertisers?
For media buyers, the practical change is inventory. Ten markets gain AI Mode ad slots at once, and the United States gains sponsored placements in follow-up answers. That matters most in the fourth quarter, when retail and travel budgets are already committed. Google also plans to add Brazil, Mexico and the UK in the same period.
The measurement problem is harder. Google has not published how many ads AI Mode shows per answer or how often they appear. Nor has it said how AI Mode cost per click compares with classic Search. Advertisers can see spend and conversions inside Google Ads. They cannot yet separate AI Mode performance from the rest of the Search mix with public benchmarks. Claims about relevance and click quality currently rest on Google's own research.
India is the most closely watched name on the list. Google has not said how AI Mode ad load or pricing there will compare with the United States. It has also not published AI Mode take-up figures by country. Its guidance stresses automated campaign types, which tend to favour advertisers with clean product feeds and broad budgets.
There is a second-order risk. Schindler indicated that AI Mode monetises worse than classic Search today. That gives Google an incentive to increase ad load, add formats, or push users toward surfaces where ads perform better. Each of those choices changes auction dynamics for buyers who have already built budgets around the old results page.
Google's automation guidance points the same way. Campaigns built on AI Max hand more of the matching and creative decision to Google. That makes it harder to isolate what AI Mode contributed to a result. Advertisers who want a clean comparison will need to run separate experiments. Google has not said whether it will provide holdout tools for AI surfaces.
The one clear instruction in Google's post is to prepare the foundations. That means clean product data and campaigns built on Performance Max and AI Max. The advice favours advertisers with the resources to maintain catalogues across ten new markets at once. Smaller advertisers are more likely to wait for benchmarks before shifting budget.
What does it mean for publishers and websites?
AI Mode is a summary product, and summaries reduce the need to click. Google's own framing is that ads and citations can sit together inside an answer. Publishers see a different trade: their reporting may inform the answer while the sponsored tile above it captures the click.
The best available evidence on that trade comes from Pew Research Center, which tracked 900 US adults in March 2025. When a search produced an AI summary, users clicked a traditional result link in 8% of visits. Without a summary, the rate was 15%. They clicked a link inside the summary itself in just 1% of visits. They also ended their browsing session on 26% of pages with a summary, against 16% without one.
Pew also found that 18% of the searches in its sample produced an AI summary in March 2025. That study covered AI Overviews, the shorter summaries on the results page, not AI Mode ads. It still describes the direction of travel. Answers take attention that used to flow to links, and the ad now sits inside the answer.
For site owners in the ten new markets, two questions matter. Does AI Mode change referral traffic, and do sponsored placements crowd out the citations that remain? Neither question has public data yet. Google has not released country-level referral figures for AI Mode.
Pew's sample also shows which sources AI summaries lean on. Wikipedia, YouTube and Reddit accounted for 15% of the sources in the AI summaries it examined. Their share of standard results was 17%. Government sites made up 6% of summary sources against 2% of standard results, while news sites were flat at 5% in both.
Being cited is not the same as being visited, and that distinction matters for anyone planning content around AI Mode. A publisher can supply the fact in an answer and still lose the click to a sponsored tile beside it. Google's position is that ads and citations can coexist and that sponsored results are labelled. That is true, but it does not address the traffic question.
What are the limitations of Google's claims?
Most of the supporting evidence is self-reported. Three claims come entirely from Google. Queries in AI Mode are three times longer, sponsored tiles match organic ones on clicks, and users find the ads relevant. None of the three has a published methodology or an independent audit. Advertisers should treat them as company statements, not measured facts.
The monetisation gap is the clearest limitation. Schindler's own wording concedes that AI Mode earns less per query today. Google has not said when or whether that gap closes. The expansion to ten countries is partly a bet that scale and new formats will fix it. Google also has not disclosed how much of its $82 billion advertising quarter came from AI surfaces.
The rollout is staged and the formats are still tests. Multiturn ads are new in the US and Conversational Discovery ads remain in testing. The Direct Offers expansion is described as coming soon. Early results from a holiday quarter in ten countries will be noisy, and Google has not committed to publishing them.
There is also a cost backdrop. Capital expenditure of $51.4 billion and negative free cash flow of $9.1 billion in one quarter raise the pressure. Google needs to show that AI search can pay for itself. That pressure is a reason to expect more ad inventory over time, not less.
The comparison problem runs deeper than disclosure. AI Mode answers vary by user, location and follow-up, so two advertisers running the same query may not see the same layout. Google's click-rate comparison also weighs sponsored product tiles against organic product tiles, and Google chooses both. The figure is useful as a signal about placement, not as a verdict on ad quality.
Finally, the timeline is short. Google has run ads in AI Mode in the United States and is only now extending them beyond it. That means markets with different languages, shopping habits and payment systems are getting the format at the same time. Behaviour in Kenya or the Philippines may not match behaviour in Canada. Google has not said whether it will publish results by country.
What should you watch next?
Three dates matter. Brazil, Mexico and the UK are scheduled for the fourth quarter of 2026. The US holiday shopping season will be the first real test of multiturn ads at scale. Alphabet's fourth-quarter results, due early next year, will show whether search growth stabilises or slips again.
Watch for disclosure. If Google reports AI Mode revenue, impressions or relative monetisation, buyers will finally be able to compare surfaces. If it stays quiet, the market will lean on third-party measurement and anecdotal reports that shape SEO budgets.
Watch publishers too. A sustained drop in referral traffic would sharpen the argument that AI answers capture value created elsewhere. Google's counter-argument is that ads fund the free search product everyone uses. Both claims will be tested in the same quarterly numbers.
For advertisers, the practical test is whether AI Mode placements convert at a cost comparable to classic Search. For publishers, it is whether citations turn into visits. Neither answer will arrive in a press release. Both will show up in the fourth-quarter numbers and in the traffic reports that follow them.