Google's AI Mode taps Gmail and Photos to deliver personalized responses tailored to your life

Reviewed byNidhi Govil

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Google is rolling out Personal Intelligence to AI Mode, allowing the search feature to access user data from Gmail and Photos for contextual answers. Available to Google AI Pro and Ultra subscribers as a Google Labs feature, the opt-in capability scans emails and images to deliver personalized responses without requiring users to manually input preferences or details about their lives.

Personal Intelligence Arrives in AI Mode for Paid Subscribers

Google is expanding its Personal Intelligence capability to AI Mode, enabling the conversational search feature to access user data from Gmail and Photos to deliver more personalized responses

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. The feature, which debuted in the Gemini app last week, is now rolling out to Google AI Pro and Ultra subscribers in the United States as a Google Labs feature that requires explicit opt-in

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Source: Engadget

Source: Engadget

According to Robby Stein, VP of Product at Google Search, "With Personal Intelligence, recommendations don't just match your interests -- they fit seamlessly into your life"

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. The capability is disabled by default and can be turned off at any time, addressing user data privacy concerns from the outset

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Source: Google

Source: Google

While the Gemini app version supports Gmail, Photos, Search, and YouTube history, the AI Mode implementation currently focuses on Gmail and Google Photos integration

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. This strategic limitation suggests Google is testing the waters before expanding access to additional data sources. Free users will most likely gain access to Personal Intelligence in the future, following Google's typical pattern of expanding AI features beyond paid tiers

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How Personal Intelligence Transforms Search Personalization

The feature fundamentally changes how users interact with Google Search by eliminating the need to manually explain preferences or existing plans in prompts

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. When enabled, the custom Gemini model powering AI Mode can instantly pull relevant details from your email or photos to customize responses with email and photos

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. For travel planning, AI Mode can reference hotel bookings in Gmail and past vacation photos in Google Photos to suggest tailored travel itineraries that account for family preferences

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. If your photo library contains numerous ice cream selfies, the AI assistant might recommend old-timey ice cream parlors as part of your itinerary

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Shopping suggestions represent another practical application where Personal Intelligence excels. When searching for a new coat for an upcoming trip, AI Mode can automatically consider brands you prefer based on past purchases, while cross-referencing your flight confirmation in Gmail to identify the destination and timing—such as Chicago in March—to recommend windproof, versatile options that match both the weather and your style

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. When AI Mode uses your personal context in a response, it cites the source in-line, similar to how it references websites

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Source: The Verge

Source: The Verge

Privacy Protections and Model Training Practices

Google emphasizes that AI Mode doesn't train directly on your Gmail inbox or Google Photos library

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. Instead, model training is contained to specific prompts in AI Mode and the model's responses to improve functionality over time

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. This distinction matters for users concerned about how their personal information feeds into AI development. Access to Gmail and Photos can be revoked at any time through Search personalization settings, though there isn't a simple way to toggle off Personal Intelligence for a single query, unlike in Gemini

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The opt-in nature of Personal Intelligence reflects Google's attempt to balance personalization with user preferences for data control

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. Users can enable the feature by visiting their profile in Google Search and selecting Search personalization, then Connected Content Apps, and finally choosing to connect Workspace and Google Photos

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. The feature is currently limited to personal Google accounts and hasn't been deployed to enterprise or education accounts, indicating that bugs still need resolution before organization-wide implementation

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Handling Errors and Refining Contextual Answers

Google acknowledges that AI Mode with Personal Intelligence can make mistakes, drawing incorrect conclusions from the data it mines from user accounts

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. Internal testing revealed that while the feature generally works well, errors do occur

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. If you have many photos of a friend's dog, for example, the system might mistakenly identify you as a dog owner and generate recommendations accordingly

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. Users can correct unsuitable recommendations through follow-up prompts or by rating responses with a thumbs down to provide feedback

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This iterative refinement process mirrors how users might adjust traditional Google Search queries when initial results don't meet expectations

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. The Gemini 3 model powering Personal Intelligence is designed to improve over time based on user interactions, though Google maintains that improvement comes from analyzing prompts and responses rather than directly accessing email content or photo libraries

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. By leveraging the wealth of user data already within its ecosystem, Google delivers more personalized experiences that rivals can't easily match, though the company recognizes not everyone wants AI to search your email and photos

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