Google Discover tests AI chatbot to let users customize their feed with natural language prompts

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Google is testing a new AI feature called 'Tailor your feed' that lets users customize their Discover feed through conversational prompts. Available as a Labs experiment in US English, the tool allows users to specify topics, sources, and content preferences using natural language, mirroring a similar experiment YouTube recently launched for its home feed.

Google Discover Introduces Conversational Feed Customization

Google is testing an experimental AI-powered feature that transforms how users manage their Discover feed through natural language prompts. The new capability, called 'Tailor your feed,' appears in Google Labs and allows users to tell Google Discover exactly what they want to see using conversational instructions

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. This AI feature mirrors a recent YouTube experiment where users customize their home feed through an AI-powered chatbot, suggesting Google is expanding this approach across its content discovery platforms

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Source: Android Police

Source: Android Police

Users can access the experimental feature through the Google app on Android by tapping the Labs beaker icon and enabling 'Tailor your feed.' Once activated, a prompt box appears with the hint 'Ask for the kind of content you want,' featuring Google's signature four-color glow

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. The interface includes a carousel of suggestions, such as 'Stop showing me negative news,' making it easier for users to begin customizing their experience.

How Feed Customization Works Through Prompts

The AI chatbot enables users to specify 'topics, sources, or vibes' and even share their goals and projects to refine content recommendations

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. This represents a significant shift in feed management, offering control over recommendations through conversation rather than manual adjustments. Users can fine-tune content they're already receiving or include preferences about publishers, creators, formats, and overall tone. Like modern chatbots, the system allows ongoing conversation to further refine user preferences, with Google noting that 'Discover's AI will update your feed instantly and remember your preferences'

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Source: Android Authority

Source: Android Authority

The feature serves as an alternative to manually hiding undesirable content through the three-dot menu, potentially saving users considerable time

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. This content personalization approach aligns with Google's broader push to integrate generative AI technology across its products, using the same design language seen in AI Mode and other generative AI offerings.

Early Development Signals Future Direction

Evidence of this feature first emerged in the Google app beta version 16.49.59, where developers discovered a pop-up warning that 'Any changes you've discussed for your feed will be lost' when exiting the feed customization panel

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. The mention of 'discussed' confirmed Google's plans to implement a chatbot into the Discovery feed customization experience, though the input box was initially missing from early builds.

Google acknowledges the feature is 'still in early testing' and currently available only in US English

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. The Labs designation indicates this remains an experimental phase, and not all features spotted during development ultimately make it into production. However, the parallel with YouTube's similar experiment suggests Google is seriously exploring this approach to user control across its content platforms.

What This Means for Content Discovery

This development comes as Google Discover has been taking steps to reduce clickbait articles while giving users the option to follow favorite creators

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. The addition of prompt-based customization could fundamentally change how users interact with their news feed, shifting from reactive curation (hiding unwanted content) to proactive specification of user preferences. The system includes a history icon that opens the My Activity page, allowing users to review and adjust their customization conversations over time

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For users frustrated with irrelevant content recommendations, this AI feature offers a more intuitive way to shape their information diet. Rather than training the algorithm through repeated manual interventions, users can simply state their preferences in natural language. As Google continues testing this capability, the success of this experiment could determine whether conversational AI becomes the standard interface for content topics and personalization across Google's ecosystem.

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