Google said ads in AI Mode earn less per search than traditional search ads, but Google has more searches overall, Search Engine Roundtable reported in its October 30, 2026, recap. The admission came in the same week Google expanded AI Mode ads to more countries and released multiturn ads in the United States, making the economics of the new surface a central question for advertisers heading into the holiday season.
Earning less per search does not mean earning less overall. If AI Mode generates more searches per user, because conversational queries run longer and spawn follow-ups, then lower revenue per search can still produce higher total revenue. Google framing points exactly there: the unit economics are weaker, but the volume compensates.
For advertisers, the implication is that AI Mode should be judged on total return, not on cost-per-click parity with classic search. A campaign that looks expensive per click in AI Mode may still be efficient per customer if the conversational format qualifies intent better, or if the longer session produces a higher-value conversion.
Several factors plausibly explain the gap. AI Mode sessions are exploratory, with users comparing options across turns rather than signalling immediate purchase intent in a single keyword. Ad formats are newer, with less historical performance data for bidding systems to learn from, and the inventory is still expanding country by country, which fragments the auction.
The multiturn format may narrow the gap over time, since ads that adapt across follow-up questions can stay relevant as intent sharpens. But in the near term, advertisers should expect AI Mode to behave like an upper-funnel surface: good for discovery and comparison, weaker for immediate conversion than a high-intent classic query.
First, segment AI Mode performance separately from classic search, so the lower per-search revenue does not get hidden inside a blended average. Second, set AI Mode expectations around assisted conversions and discovery, not just last-click sales, through the holiday peak while the format is still learning.
Third, keep creative adapted to conversation: longer, question-based copy and strong product data, since the ad must survive several turns. The advertisers that treat AI Mode as a copy of classic search will pay classic prices for weaker placement; the ones that design for conversation will be the ones whose ads still convert when the auction matures.
The holiday season is the first real test of AI Mode advertising at scale, with multiturn ads in the United States and expansion to ten more countries landing just before Black Friday. Advertisers will learn quickly whether conversational ads convert gift shoppers, who often arrive with vague intentions and refine them across turns, which is exactly the behaviour multiturn ads are built for.
The results will shape 2027 budgets more than any single earnings comment. If AI Mode ads convert holiday shoppers efficiently despite lower revenue per search, budgets will follow the volume. If they prove to be discovery-only, advertisers will cap AI Mode spending and reserve conversion budgets for classic search. Either outcome is useful, but only advertisers that segment AI Mode performance will be able to read it.
Advertisers should also prepare for the reporting gap: AI Mode performance data is newer and less complete than classic search reporting, and early numbers may be revised as Google improves measurement. Treat first-quarter AI Mode figures as directional, keep classic search as the control, and avoid reallocating large budgets on a single month of AI Mode data, however encouraging or discouraging it looks.
Sources: Search Engine Roundtable daily recap, October 30, 2026.
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