AI Is Growing Search Traffic—and Shrinking Google’s Ad Yield

AI is rewriting the ad bargain. ChatGPT, Anthropic’s Claude, and Meta’s new Muse assistant are becoming alternatives to traditional search, while Google and Meta use AI in opposite ways—one risks losing valuable clicks, and the other is improving the ads shown inside its existing feeds.

The contrast appeared in third-quarter 2026 results. Meta’s advertising revenue rose 26% year-on-year to $63.06 billion, while Google’s Search and other advertising revenue grew 12% to $63.35 billion. Search accounted for less than 50% of Google’s total revenue for the first time, adding pressure to a business that still depends on users reaching pages where ads can appear.

People now ask chatbots questions and receive direct answers instead of clicking blue links on Google results pages. Fewer clicks mean fewer ad views and less revenue for Google, even when AI investments produce more searches overall.

Google’s AI Answers Create a Monetisation Problem

Google’s AI Overviews and AI Mode give users summaries and conversational answers, reducing the need to visit another page. Google said AI Mode queries are, on average, three times longer than normal searches, but those queries currently earn less money than traditional searches.

Philipp Schindler, Google’s Chief Business Officer, said AI Mode’s lower monetisation contributed to the slowdown in Search revenue growth. He also identified foreign exchange movements as the single largest factor behind the sequential slowdown, with vertical-specific spending trends adding pressure: retail advertisers in APAC were affected by the EU’s elimination of its de minimis exemption, while media and entertainment spending normalised after a FIFA World Cup-driven surge in Q2.

Google’s Search revenue growth slowed to 12% year over year in the third quarter, while growth in paid clicks dropped from 13% to 8%. Google came out of the gates highlighting its highest year-over-year query growth rate in five years, yet Q3 Search revenue missed market estimates, its negative cash flow reached -$9.06 billion, and its share price fell around 10% after hours.

That is the awkward math of AI search: more activity does not guarantee equal revenue. Jacob Joseph, VP of Data Science at CleverTap, described the pressure plainly: “Google has indicated that AI Mode currently monetises at a lower rate than traditional search.”

Most Google searches already end without a click, a pattern often called zero-click search. AI Mode adds another layer by giving customers more complete answers without requiring a visit to another page—efficient for users, inconvenient for the ad model.

Viren Inaniyan, Co-founder and CEO of Tru Commerce, said, “The real shift is towards zero-click search. One AI conversation now does the work of five or six searches, and the user never lands on a results page where the ad lives.”

Meta Turns AI Into an Advertising Upgrade

Meta faces the same shift in discovery but benefits from keeping users inside Facebook and Instagram. Its recommendation systems determine what people see across Facebook Feed, Reels, Instagram, and other surfaces, allowing AI to improve discovery and advertiser reach without asking users to change how they buy.

In the third quarter, Meta deployed its approach on Facebook Feed and reported a nearly 2% increase in conversions across targeted segments. Advertising impressions across its family of applications increased 10% year-on-year, the average price per advertisement rose 14%, and Family daily active people increased 3% to 3.64 billion.

Meta’s Generative Recommender uses large language models to reason across advertising content and user preferences, then predict which advertisement is most relevant to an individual. Better recommendations can lift engagement, create more ad opportunities, and improve the chance that users respond—an old advertising goal wearing a new model.

Meta CFO Susan Li said advertisers adopting the system’s recommendations “drove almost 5% more conversions” and “increased their advertising investment by 9% compared with similar non-adopters.” She cited syrup producer Simply Organic Maple, which saw purchases rise 57% and cost per purchase fall 36% while using the assistant.

Almost 10 million advertisers used at least one of Meta’s AI tools in the third quarter. Meta’s results suggest that AI can raise the value of an existing advertising system when it improves targeting rather than replacing the surface where ads already appear.

Google is pursuing the same outcome from a harder position. Schindler said the company is deploying its Gemini models “across our entire ads infrastructure,” adding tools for advertisers and improving ad quality, while Google expands ads in AI Overviews and AI Mode internationally and across multiple turns of US AI Mode conversations.

Google says most AI Mode queries are “incremental”—additional questions rather than replacements for existing searches—and many are “upper-funnel,” meaning users are researching potential purchases before they know what they want. The company has also floated bringing ads to its standalone Gemini app, though it has not announced when.

Advertisers are still spending on Google. Tinuiti’s same-store advertisers increased Google paid search spending 14% year over year in the third quarter while maintaining their return-on-ad-spend targets, and Andy Taylor, the agency’s vice president of research, said shoppers searching for Nikes can still receive familiar shopping listings and text ads.

The unresolved issue is measurement. Advertisers cannot isolate Google’s AI ads because Google does not let them target that inventory separately or break out its performance, making the transition hard to judge beyond aggregate results.

An October working paper found that US visits from ChatGPT ads generated 64% less revenue for retailers per session than visits from Google Search ads—$0.89 versus $2.45. The paper measures retailers’ sales rather than platform revenue, and its findings about ChatGPT do not establish how Google’s own AI ads perform.

Nate Elliott, an eMarketer principal analyst covering AI and advertising, called this “the first major disruption that Google is facing to its core business in decades.” Google says its “ad experiments have shown promising results,” but Elliott’s assessment is less comforting: “They absolutely do not have it all figured out.”

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