BusinessFriday, August 21, 2026· 2 min read

Google Discover Adds AI Chatbot Controls for a More Personalized Feed

Source: The Verge AI

TL;DR

Google is rolling out an AI-powered way to customize Discover by simply describing what you want to see. The chatbot-style feature can remember preferences and tune future recommendations, giving users more direct control over their news and content experience.

Key Takeaways

  • 1Google Discover will soon let users personalize their feed through a chatbot-style interface.
  • 2The AI can interpret natural-language preferences and adjust future content recommendations.
  • 3Users can refine the chatbot’s understanding if the initial suggestions are not quite right.
  • 4The feature gives people a simpler, more transparent way to shape what they see in the Google app.

Google is making Discover more personal with a new AI-powered customization feature that lets users describe what they want to see. Instead of relying only on taps, follows, or hidden recommendation signals, people will be able to use natural language to guide their feed.

The feature, rolling out to the Google app in the coming days, appears inside the three-dot menu on the Discover feed. From there, a chatbot-style interface will ask users about their preferences, confirm what it understood, and explain the kinds of content it will prioritize.

Why this is a win

AI is helping make content discovery more user-directed. For millions of people who use Google Discover, this could mean a feed that better reflects their current interests, hobbies, and information needs without requiring complicated settings.

  • Natural-language controls make personalization easier to use.
  • The AI can remember preferences for future visits.
  • Users can add more detail if the chatbot needs correction.
  • The update brings more transparency to recommendation systems.

While this is an incremental product update rather than a major AI breakthrough, it shows how conversational AI can make everyday digital tools more intuitive and responsive to individual users.

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