Google Expands Gemini’s Cross-App Personalization to Free Users Google announced it has expanded its Personal Intelligence service to free users in the U.S., integrating the feature across AI Mode, the Gemini app, and Gemini in Chrome. The update allows the AI to perform tasks like planning flight layovers based on food preferences, exact arrival and departure times, and airport layouts, or recommending new handbags by analyzing past clothing purchases and preferred brands. This expansion aims to boost Gemini’s position in the generative AI market by making its capabilities more accessible. The move reflects a broader trend among AI platforms to evolve into seamless, context-aware assistants that can adapt to user preferences and browsing history. By personalizing interactions across services, these tools aim to enhance user engagement and streamline decision-making. However, marketers are still struggling to meet rising expectations for personalized content. According to Salesforce, 51% of global marketing professionals report their campaigns often feel generic, while 78% say they lack the resources to create sufficient personalized content. As AI-driven personalization becomes more sophisticated, user demands are likely to grow. For marketers, this shift could mean rethinking how brands interact with audiences. Google’s expansion offers an opportunity for brands to enhance their visibility within Gemini’s ecosystem. By leveraging the platform’s ability to remember context and preferences, companies can craft more relevant messaging and improve customer experiences. The update is part of EMARKETER’s subscription Briefings, which combine daily updates with data and analysis from forecasts and research reports. These Briefings are designed to provide critical insights for industry professionals.#google #ai_mode #gemini_app #chrome #emarketer
Google AI Mode to Remain Ad-Free for Personal Intelligence Users Google has confirmed that users who connect apps to enable Personal Intelligence will continue to experience AI Mode without ads, despite ongoing testing of advertisements in the U.S. While the company is expanding ad testing within AI Mode, the ad-free status for Personal Intelligence users remains unchanged. The move reflects Google’s cautious approach to integrating ads into features that rely heavily on personal data. Although ads are being tested in AI Mode, the company is prioritizing user privacy by keeping Personal Intelligence experiences ad-free for now. This decision allows Google to balance the introduction of personalized features with the need to maintain user trust. A Google spokesperson told Search Engine Land that Personal Intelligence positions Gemini as a more tailored assistant, laying the groundwork for future ad experiences that leverage deeper user context across platforms. The spokesperson emphasized that the ad-free policy for Personal Intelligence users is not changing, even as broader ad testing continues. The announcement comes amid Google’s efforts to enhance its AI-driven services, including the rollout of vehicle feeds in Search campaigns and updates to legacy ad format policies. These changes highlight the company’s strategy to refine its advertising ecosystem while addressing user concerns about data privacy and ad relevance. The ad-free guarantee for Personal Intelligence users underscores Google’s recognition of the sensitivity surrounding personal data. By maintaining this policy, the company aims to preserve user confidence while experimenting with new ways to monetize its AI capabilities. This approach may influence how other platforms handle similar challenges in the evolving digital landscape.#gemini #google #ai_mode #personal_intelligence #search_engine_land
Google’s AI Mode Tailors Search Results Based on User Behavior Google has been refining its AI Mode to deliver more personalized search results by leveraging user data such as past interactions, search history, and preferences. The feature, initially introduced in August as part of an experiment in Labs, allows AI Mode to analyze a user’s behavior to surface content that aligns with their interests. For instance, if a user frequently engages with Italian cuisine, plant-based meals, or outdoor dining options, the system may prioritize results reflecting those preferences. The author of the article observed this personalization in action during a search for a specific brand. After conducting multiple searches and clicks related to the brand, the AI Mode results prominently featured the brand at the top of the search output. This placement was attributed to the system’s ability to infer the user’s interest based on prior activity. However, the author noted that they could not confirm the extent of personalization due to privacy restrictions. A more recent example involved a search for “best quarterback ever.” During the query processing, Google displayed a message indicating it was “Checking for personalized info.” The result included a prompt for additional feedback, which the author linked to the personalization feature. A follow-up search for “best baseball team” revealed a similar process, with the system offering an option to view results without personalization. When the user accessed the non-personalized version, the top result remained largely unchanged, though the formatting differed slightly—presented as a list of rankings in both paragraph and table formats. The personalized result included some historical context, but the overall structure was comparable.#google #ai_mode #user_behavior #personalization #search_results
