Alphabet shares fell more than 12 percent in a day following Google's third-quarter results, cutting about 500 billion dollars in market value, Inc. reported on November 3. During the earnings call, Google's chief business officer, Philipp Schindler, said the growing popularity of AI Mode had slowed search advertising growth because AI Mode queries monetise at a lower rate than classic search. Google's answer, Schindler said, is to scale ads inside AI Overviews and AI Mode to more users and queries, and to take that monetisation footprint global for the first time.
Google's total revenue increased 25 percent year over year, to 127.6 billion dollars, led by search advertising growth of 12 percent, to 63.3 billion dollars. Those are strong absolute numbers, and they make the market reaction easy to misread. The fall was not about a collapsing business. It was about expectations: search growth slowed, AI Mode queries grew fast but earned less per query, and changes in advertiser spending and foreign exchange added pressure. Markets punish a growth story that slows, even when the business is still growing.
Schindler's explanation was unusually direct. He said the strong growth in AI Mode queries had an impact because of the lower monetisation seen in AI Mode. That is a candid admission that Google's most important product shift, from classic search to AI search, currently earns less per query than the product it is replacing. It is also a statement of intent: Google plans to close that gap by putting more ads into AI answers, not by slowing the shift to AI search.
AI Mode changes the unit of search. A classic search shows a list of results with ads alongside them, and a user clicks through to a site. An AI Mode session answers in conversation, synthesises information, and may satisfy the user without a click at all. Fewer clicks mean fewer ad clicks, and a conversational answer offers fewer obvious ad slots than a results page. Even when ads are shown inside an answer, their format, placement, and user intent differ from a classic search ad, and advertisers are still learning what they are worth.
The expansion of AI Mode ads to more markets, including Australia, Canada, India, and several others in late October, is part of closing that gap. More markets mean more ad inventory inside AI answers, and multiturn ads, which can surface on follow-up questions in the same conversation, create additional inventory that classic search never had. Whether those formats earn as much per query as classic search ads remains an open question, and the market reaction suggests investors are not yet convinced.
For advertisers, the message is to prepare for a search product in which the ad is inside the answer, not beside it. That changes creative, measurement, and expectations. An ad inside an AI answer competes with the answer itself for attention, and its performance will depend on relevance to the conversation, not just to a keyword. Advertisers who treat AI Mode ads as classic search ads with a new label will misjudge them. Those who test formats, track incremental conversions, and compare AI Mode performance honestly with classic search will adapt faster.
For publishers, the earnings story is a warning and a clue. If Google needs AI Mode to monetise better, it has an incentive to keep users inside AI answers, where ads can be shown, rather than sending them to publishers. At the same time, Google needs publisher content to make those answers good, which gives publishers leverage, if they organise it. The tension between those two incentives will shape AI search policy, publisher controls, and regulation for years, and the Q3 call made it explicit.
The next earnings call will be the test of whether the gap is closing. Watch search advertising growth, any disclosure about AI Mode monetisation, and whether ads in AI Overviews and AI Mode expand to more queries and markets as promised. Also watch advertiser behaviour: if media buyers continue to question search budgets, as Digiday reported the same week, Google will face pressure from both sides, from investors who want monetisation and from advertisers who want proof of value.
For SEOs, the durable lesson is that Google's product decisions are now driven by AI economics, not just by search quality. A feature that helps users but earns less will still ship, because Google is playing a longer game for the AI search market. But its design, its ad load, and its link treatment will all be shaped by the need to close the monetisation gap. Understanding that incentive helps predict where AI search goes next, better than any single feature announcement.
Sources: Inc., November 3, 2026; Search Engine Land, via the November 3 recap.
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