Google Search adds AI-powered tools to help runners prepare for races
New AI features in Search aim to simplify training plan creation, playlist generation, and gear selection for race preparation.
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- Google Search introduces AI-powered features to assist with race training, including personalized training plans, custom playlists, and gear recommendations.
- Users can generate tailored training schedules via the Canvas tool in AI Mode, factoring in local routes and fitness levels.
- Integration with YouTube Music allows AI to create custom motivational playlists for runs.
- Shopping Graph is used to recommend and compare running gear based on user constraints like budget and fit.
Google Search is adding AI-powered tools designed to assist users in preparing for races, including running events. The features are intended to simplify three key aspects of race preparation: training, motivation, and gear selection.
One feature allows users to generate personalized training plans through the Canvas tool in AI Mode. The tool can recommend cross-training and strength-building strategies and factor in local routes and a user’s current fitness level. For example, users can request a plan tailored to a specific marathon, such as the Texas Marathon, with routes around Montrose and a target sub-4.5-hour finish time.
A second feature integrates with YouTube Music to create custom playlists for runs. Users who connect their YouTube Music account can ask AI Mode in Search to generate motivational playlists to help maintain energy and focus during long runs.
The third feature leverages Google’s Shopping Graph, which includes over 60 billion product listings, to recommend running gear. Users can search for products that meet specific constraints, such as road shoes for wide feet, lightweight hydration vests under $80, or anti-chafing apparel. The tool also provides side-by-side comparisons of in-stock options and local availability to help users make informed purchases.
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