Google Gemini now gives personalized responses using your search history
What's the story
Google has introduced a new capability for its AI assistant, Gemini.
The tech giant's latest offering is called Gemini with Personalization, which lets users link their search history with the AI assistant.
The feature is designed to enhance the quality of responses generated by the AI by leveraging data from users' interactions with their devices.
Functionality
How does Gemini with Personalization work?
Gemini with Personalization is powered by an experimental model called Gemini 2.0 Flash Thinking.
Users wanting to try this feature will have to enable "Personalization" in the model menu to link their search history.
The assistant will analyze this data before generating a response, but only if Google's advanced models deem it can improve the answer.
Privacy measures
Google addresses privacy concerns
Google has acknowledged the potential privacy concerns of an AI model looking at your search history.
To mitigate these issues, the company assures users that they can disconnect Gemini from their search history at any time.
Further, when using this experimental feature, Gemini will show a clear banner with a link to easily disconnect your search history.
Availability
The feature is now available
Gemini with Personalization is now available as an experimental feature for Gemini and Gemini Advanced subscribers on the web.
The company plans to gradually roll it out for mobile users in more than 40 languages in many countries.
However, this feature is not available for users under 18, Google Workspace, and Education users.
Integration plans
Gemini's integration with other Google services
In the coming months, Google plans to integrate Gemini with other services such as Google Photos and YouTube.
The company is also releasing updates for all Gemini users to create their own personal AI assistants called Gems for free.
Additionally, Google's Gemini 2.0 Flash Thinking Experimental model will be integrated into its Deep Research feature, enhancing the chatbot's capabilities across all research stages.