Saturday, March 14, 2026, 11:33 PM
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Google Does Not Rule Out Ads in Gemini AI App, Focuses on User Experience and Contextual Relevance

Saturday 14 March 2026 13:07
Google Does Not Rule Out Ads in Gemini AI App, Focuses on User Experience and Contextual Relevance

Google has stated that it has not ruled out the possibility of integrating advertisements into its AI app Gemini, although no concrete plans are currently in place. The announcement comes amid intense competition between Google and OpenAI in the AI-powered assistant market.

A senior Google executive explained that experiments with ads in the AI Mode of its search engine could help determine the best approach for including ads within Gemini in the future. Research indicates that users may respond positively to contextual ads that are closely tied to search queries, while ensuring that the priority remains a useful and relevant user experience.

Gemini has experienced rapid growth over the past year, reaching more than 750 million monthly active users, up from 350 million in March of the previous year. While OpenAI has not disclosed monthly active user numbers for ChatGPT, it reported 900 million weekly active users.

Currently, Google is testing ads in AI Mode, which extends traditional search, while also developing tools for advertisers—especially small businesses—to optimize keywords and automate ad creation using AI. At the same time, the company emphasizes user privacy and the relevance of ads.

Additional developments include the Personal Intelligence feature in Gemini and AI Mode, which can access users’ Gmail, Photos, and Calendar to provide contextualized responses. Google has stressed that this feature is fully optional, and user data will not be shared with advertisers.

The experiments with ads in AI Mode are designed to explore how advertisements can be integrated seamlessly into AI-powered search experiences, focusing on quality, relevance, and transparency. Google seeks to balance Gemini’s rapid growth with a superior user experience, prioritizing product strength before monetization.