Google AI: Personalized Search Through Gmail and Photos
Google is making a bet on personalization in artificial intelligence, introducing a new feature that allows AI search mode to analyze the contents of users' Gmail accounts and Google Photos. This innovation, called "Personalized Intelligence," was launched following the recent release of Gemini AI and is designed to fundamentally change how users interact with the search engine. Traditionally, search engines rely on general algorithms and statistical data to deliver results. However, Google's approach is to adapt these results to the individual interests and needs of each user. By analyzing email content and photographs, AI mode can automatically identify user preferences, daily habits, and interests. This means that search queries performed through AI mode will take into account the context of a user's personal life, providing more relevant and useful answers.
AI-processed from 36Kr (36氪); edited by Hamidun News
Google is making a bet on personalization in artificial intelligence, introducing a new feature that allows AI search mode to analyze the contents of users' Gmail accounts and Google Photos. This innovation, called "Personalized Intelligence," was launched following the recent release of Gemini AI and is designed to fundamentally change how users interact with the search engine.
Traditionally, search engines rely on general algorithms and statistical data to deliver results. However, Google's approach is to adapt these results to the individual interests and needs of each user. By analyzing email content and photographs, AI mode can automatically identify user preferences, daily habits, and interests. This means that search queries performed through AI mode will take into account the context of a user's personal life, providing more relevant and useful answers.
In practice, this might look like the following: if a user frequently photographs cats and searches for information about cat breeds in their email, AI mode will prioritize results related to cats when performing general queries about pets. Similarly, if a user frequently discusses certain topics in their email, AI mode will take this into account when formulating responses to relevant queries.
One of the key advantages of "Personalized Intelligence" is the automation of preference settings. Users no longer need to manually specify their interests or configure search parameters. AI mode independently analyzes available data and adapts results accordingly. This significantly simplifies the use of the search engine and makes it more intuitive.
The implementation of AI-based personalized search has significant implications for the industry. First, it can lead to increased user engagement and more time spent in the search engine. Second, it opens new opportunities for advertisers who will be able to target their ads to narrower and more relevant audiences. Third, it can stimulate the development of new AI technologies aimed at analyzing and understanding user data.
However, it is worth noting that using personal data for search personalization raises questions about privacy and security. Google must ensure reliable protection of user data and provide users with the ability to control which data is used for personalization. It is also important that users understand how "Personalized Intelligence" works and what data is used to shape search results.
In conclusion, the implementation of AI-based personalized search is an important step in the development of search technologies. This innovation can significantly improve the user experience with the search engine by providing more relevant and useful answers. However, it is important that Google ensures reliable protection of user data and provides users with the ability to control how their personal data is used.
- Oct 28, 2026A 2015 CNN Beat GPT-6 Astra and Claude Fable 5.1 at Skin Cancer Diagnosis
- Oct 28, 2026Google taught an LLM to “sleep”: SLEEP consolidates knowledge into weights, up to 10 million tokens
- Oct 28, 2026Keystone removes the model name from code: open-source LLM gateway adds 0.64 ms
- Oct 28, 2026Wired Tested 6 AI Agents in a Day: Dots Leads, Gemini Spark Fails at Lunch
Test Frontier LLMs & Autonomous Agents in One Workspace
Run Claude Opus 5.5, GPT-6, Gemini 3.1, and DeepSeek side-by-side in Nomad AI (nomadnet.ai) — unified model routing, deep research, and multimodal workflows under one subscription.
The AI world, distilled — once a week
Seven stories that actually mattered, hand-picked. No noise, no reposts, no press releases.
Done! Check your inbox for a confirmation.