Alphabet’s Google Search & Other line posted a 12% year-over-year revenue rise to $63.35 billion in Q3 2026, but growth stalled quarter-over-quarter. Chief Business Officer Philipp Schindler said lower monetization in AI Mode was a key factor. Marketers must reassess reliance on AI-driven search ads.
What happened
- Google Search revenue grew 12% year-over-year to $63.35 billion in Q3 2026, essentially flat compared with the prior quarter’s $63.27 billion.
- Growth has slowed for two quarters after 19% year-over-year in Q1 and 17% year-over-year in Q2.
- Schindler cited three reasons for the slowdown: currency headwinds, retail pressure in Asia-Pacific, and lower monetization within AI Mode.
- Google announced expanded AI Mode ad availability in ten new markets and a follow-on-question ad feature in the United States. All existing Search, Shopping, and Performance Max campaigns are automatically eligible.
- CFO Anat Ashkenazi called currency movement a small headwind year-over-year but a larger one quarter-over-quarter, noting a tougher compare after strong acceleration in late 2025.
- J.P. Morgan analyst Doug Anmuth asked why query growth outpaced ad revenue; Schindler replied that many AI Mode queries are upper-funnel and currently monetize less.
- Internal data showed click-through rates in AI Mode are similar between sponsored and organic product list items.
- Google is scaling AI Mode ads in Australia, Canada, India, Kenya, Malaysia, New Zealand, Nigeria, Pakistan, the Philippines, and Singapore, and launching multiturn ads in the U.S.
Why it matters
- AI Mode queries are largely exploratory, meaning advertisers cannot target them directly with traditional keywords.
- Exact and phrase match keywords serve only when a query has clear commercial intent; broader, contextual matching relies on AI Max for Search, broad match, Shopping, and Performance Max.
- Advertisers have no control over the short text generated by Gemini that appears alongside AI explainers, limiting brand messaging flexibility.
- The shift mirrors the mobile transition a decade ago: initial user-experience gains may precede steady monetization.
- Lower AI Mode monetization could pressure overall search ad budgets, prompting marketers to diversify spend across other Google properties or platforms.
What this means for marketers
- Brands should audit their AI Mode campaigns and ensure they are using AI-compatible formats such as Performance Max and AI Max for Search to capture incremental queries.
- Negative keywords and brand exclusions remain effective tools; however, contextual matching will dominate for exploratory searches.
- Diversifying spend to include verified lead generation or autonomous SEO services, like ADFLU’s autonomous SEO and GEO offering, can help maintain visibility while AI Mode matures.
- Monitoring click-through trends and adjusting bid strategies for upper-funnel queries will be critical as Google refines AI ad placements.
"Just like our shift to mobile over a decade ago, we are focused on building the best Search user experience, followed by monetization." Philipp Schindler, Chief Business Officer
The bottom line
Google’s Q3 2026 report shows search revenue growth slowing as AI Mode ad monetization lags. Currency effects and retail pressure add to the picture, but the core issue is that many AI-driven queries are not yet yielding strong ad returns. Marketers must adapt by using AI-compatible campaign types, applying negative keywords wisely, and complementing search spend with other growth channels to safeguard performance.