Maing it personal: Google facilitates AI Mode prompts using your search history

Google is now personalizing AI Mode prompt suggestions based on users’ search history to encourage more people to try the feature. This targeted approach replaces the generic prompts previously shown to all users, making the suggestions more relevant and likely to drive engagement with Google’s AI-powered search experience.

What you should know: The personalized prompts appear under “Based on your Google activity” and refresh each time users visit the “Meet AI Mode” page through various entry points.

• Previous generic suggestions included prompts about gym offers, mattress comparisons, and staycation ideas that were identical for all users.
• The new system generates relevant suggestions like “Tell me about the making of Slow Horses” for users who recently searched about the show’s season 5 premiere date.
• Users can access these prompts via the Google app, Search widget, or Pixel Launcher shortcuts.

Key details: The personalized prompts demonstrate Google’s ability to connect past search behavior with AI Mode capabilities.

• Examples include laptop recommendations for users who recently conducted work-related research and discussions about Pixel Fold features for relevant searchers.
• The feature is currently available with the latest Google app beta (version 16.24) on both Android and iOS with AI Mode Search Lab enabled.

The big picture: Google has been rapidly expanding AI Mode since I/O 2024, rolling it out to all US users and testing additional features like Search Live’s audio-only mode and financial chart creation.

• Upcoming developments include Search Live’s camera mode, Deep Search, agentic capabilities, and enhanced personal context features.
• These personalized prompts represent Google’s strategy to make AI search feel more intuitive and valuable by leveraging individual user data.

Why this matters: By tailoring AI Mode suggestions to individual search patterns, Google is addressing one of the key barriers to AI adoption—helping users understand what types of questions work best with AI-powered search while making the experience feel personally relevant.