Google is taking its AI Search ads global. During Alphabet’s Q3 2026 earnings call on October 28, the company announced the first international expansion of ads inside AI Mode and AI Overviews (Google’s AI-generated answer panels in search results), even as Search revenue growth slowed from 19% in Q1 to 17% in Q2 and 12% in Q3. The move signals Google is betting its AI search layer can offset decelerating traditional ad revenue.
Update, October 30, 2026: Google has named the first markets. Ads in AI Mode are now scaling in Australia, Canada, India, Kenya, Malaysia, New Zealand, Nigeria, Pakistan, the Philippines and Singapore, with Brazil, Mexico and the United Kingdom planned for Q4 2026, according to Google’s ads blog. On the same earnings call, Schindler also acknowledged that ads in AI Mode currently monetize at a lower rate than traditional search: “It’s worth noting that the strong growth in AI Mode queries had an impact because of the lower monetization we were seeing in AI Mode,” he said, as reported by Search Engine Roundtable. He added that Google feels “very good about our trajectory” and named foreign exchange as “the single largest driver of search deceleration relative to Q2.” Alphabet shares fell about 13% on Thursday, October 29, per Search Engine Journal, which also noted Q3 capital expenditures of $51.36 billion and negative free cash flow of $9.07 billion.
Why is Google expanding AI Search ads now?
Search revenue growth has slowed in each of the last two quarters. Google Search revenue grew 12% year over year in Q3 2026, down from 17% in Q2 and 19% in Q1, according to TechCrunch’s reporting on Alphabet’s Q3 2026 earnings. Alphabet shares fell 8% following the results. The deceleration adds pressure to prove that AI Mode can become a meaningful new ad revenue stream.
Alphabet reported total Q3 2026 revenue of $127.6 billion, up 25% year over year. Google Services (which includes Search) generated $96.3 billion, up 11% year over year. Google Cloud grew 103% to $30.7 billion, per TechCrunch.
Which AI ad formats has Google announced?
The move builds on Gemini-powered ad formats Google announced at Google Marketing Live in May 2026. Google’s chief business officer Philipp Schindler said during the earnings call: “We are now scaling high-quality ads within AI overviews in AI mode to more users and queries. This includes taking our monetization footprint global for the first time.”
- Conversational Discovery ads: Gemini builds ad creative tailored to a user’s specific query. For example, a search like “low-maintenance ways to make my home smell amazing” triggers an ad that highlights relevant product features for that exact question, per blog.google (May 2026).
- Highlighted Answers: When AI Mode generates a recommendation list, high-quality ads can appear as entries on that list, positioned alongside organic suggestions, per blog.google (May 2026).
- AI-powered Shopping ads: Gemini pulls relevant products and writes a custom explainer for why a specific item may suit a shopper’s needs, per blog.google (May 2026).
- Business Agent for Leads: A Gemini-powered chat agent embedded inside an ad lets users ask questions before submitting a lead form, per blog.google (May 2026).
- Multi-turn ads: A conversational ad format in AI Mode that Schindler said is coming to the U.S. alongside the international expansion, per TechCrunch (October 2026).
In May, Google also said it was upgrading its Direct Offers pilot, which launched in January 2026 with brands including Chewy, Gap, and L’Oreal. The upgrade adds promotion bundling, native checkout for UCP (Universal Commerce Protocol) merchants, and travel deals with partners like Booking and Expedia, per blog.google.
Are these AI Mode ads actually performing?
Early signals are positive, though the data comes from Google itself. Schindler told investors that click-through rates (CTR, the share of users who click an ad after seeing it) for sponsored product listings in AI Mode are already comparable to those for organic (non-paid) listings, per TechCrunch. Google’s user research also indicates people find the ads relevant.
A Google-commissioned Ipsos survey conducted in December 2025 found that 75% of respondents reported making faster, more confident purchasing decisions when using AI Mode, per blog.google.
How is AI Mode changing search query behavior?
Queries in AI Mode are three times longer on average than traditional searches, according to Google CEO Sundar Pichai on the Q3 2026 earnings call, as reported by TechCrunch. One in five AI Mode searches globally involves voice, images, or documents. Google has also surpassed 50 billion visual searches per month. Pichai credited AI features with driving Search query growth at its fastest year-over-year rate in five years, though he did not disclose the exact growth rate.
What this means for AI-search visibility
Google says sponsored product listings in AI Mode now get clicked at rates comparable to organic listings, which changes the math for any brand that has relied on SEO to avoid paying for every click.
In traditional search, a high organic ranking gave brands “free” traffic that often outperformed paid placements. If CTR parity between paid and organic holds in AI Mode, that structural advantage narrows. A brand that invested years in SEO to outrank paid competitors may find that edge less protective as AI Mode scales globally. Independent data will matter here, since the CTR numbers cited came from Google’s own earnings call.
The three-times-longer query length is directly connected to this dynamic. Longer queries mean richer, more specific intent, something like lightweight espresso machine for a small apartment where I also work from home rather than espresso machine. Traditional keyword-based content often does not map cleanly to multi-condition queries. In Hingewise’s view, brands whose content is structured around specific use cases and questions, rather than short-tail keywords, are better positioned to surface as both organic AI Mode results and cited sources in AI-generated answers, regardless of whether they are also running paid formats.
There is also a platform concentration risk to monitor. Google is monetizing AI Mode more aggressively while AI assistants outside Google also compete for these queries. Brands concentrating all search investment in Google paid formats should track whether AI-referred traffic from non-Google sources grows as a share of their inbound, particularly as query behavior shifts toward conversational, multimodal searches that AI assistants outside Google can also serve.
In Hingewise’s view, brands that treat AI Mode as an add-on to existing campaigns, rather than as a distinct query environment with its own content logic and bidding requirements, may underperform as this rollout scales internationally.
Before you update your search ad strategy for AI Mode
- Check whether your campaigns are enabled for AI Overviews and AI Mode placement, or restricted to traditional search results only.
- Audit your product feed quality. Conversational Discovery ads and AI-powered Shopping ads use Gemini to generate explainers from your product data, so thin or generic descriptions produce weaker ad creative.
- Review your query reports for length. If current keyword targeting skews short (one to two words), you may be missing the longer, more specific queries AI Mode is driving.
- Verify your Performance Max and AI Max campaign setup, which Google identifies as the foundation for accessing the new formats.
- If you run lead generation campaigns, assess whether Business Agent for Leads fits your category, particularly for high-consideration purchases where buyers have pre-sale questions.
As Google continues rolling out these formats internationally, the key variable to watch is whether the CTR parity Schindler cited holds across markets, query types, and advertiser categories outside the initial U.S. testing environment.
Sources: TechCrunch, October 28, 2026; blog.google, May 20, 2026.
Lam Nguyen · Hingewise
This article was drafted with AI assistance from the sources cited above and checked against them before publishing. The "What this means for AI-search visibility" section is Hingewise's editorial analysis, built on the frameworks and positions we use in our GEO work. How we work: Editorial policy.