Google Health Replaces Fitbit App With Gemini-Powered Coaching, Smarter Sleep Tracking, and Personalized Wellness Features

Google is rebranding the Fitbit app as Google Health, combining Fitbit's long-standing fitness tracking experience with Google's AI and software ecosystem. The new platform focuses on creating a more unified health and wellness experience through adaptive coaching, personalised insights, and deeper integration of health data.

Google Health App Brings New Changes

The redesigned Google Health app introduces a cleaner interface that makes it easier for users to track fitness, sleep, recovery, and wellness goals in one place. The platform is built around Google Health Coach, an AI-powered assistant developed using Gemini. The coach provides personalised recommendations based on a user's activity, sleep data, routines, and goals. Access to these advanced features requires a Google Health Premium subscription.

Google says the coach continuously adapts to a user's lifestyle and changing schedule. It can generate tailored workout plans, suggest recovery strategies, and provide wellness insights based on real-time data. Instead of following static plans, users receive dynamic guidance that adjusts depending on performance, sleep quality, or schedule changes.

The company also emphasises scientific validation and safety. Google created a Consumer Health Advisory Panel consisting of health and fitness experts to guide development. The system was additionally tested through large-scale research studies and evaluated using Google's SHARP framework, which measures safety, helpfulness, accuracy, relevance, and personalisation. Basketball player Stephen Curry and his performance team have also partnered with Google Health as part of the initiative.

Gemini Integration is Key

One of the platform's main features is conversational coaching. Users can ask the AI assistant questions about workouts, sleep, health trends, or fitness goals. The assistant can also adapt recommendations for situations such as injuries, travel, or irregular schedules. Examples include suggesting lower-impact workouts for knee pain or modifying training plans when gym access is unavailable.

Google Health also focuses heavily on sleep tracking and recovery. The company claims its latest machine learning sleep models are 15% more accurate than previous versions. These updated systems better detect sleep interruptions, naps, and stage transitions while aligning more closely with clinical measurement standards. The coach then uses this data to suggest actionable improvements, such as increasing daytime activity or adjusting routines to improve deep sleep quality.

The platform includes menstrual cycle tracking features as well. Users can log symptoms, view predicted periods and fertile windows, and monitor how different phases of their cycle affect health and activity patterns. The AI coach can also answer questions related to cycle-related changes and trends.

Nutrition tracking is another key addition. Users can set calorie goals, monitor macronutrients, and log meals conversationally through the AI coach or by uploading photos of food. The system also supports water intake tracking and flexible macro targets for protein, fats, and carbohydrates.

Google is also highlighting privacy and security as a core part of the platform. Users can manage AI training preferences, export or delete health data, and remove their Google Health account entirely if needed. Google says Fitbit and Google Health data will not be used for advertising purposes, while all device-to-server transmissions remain encrypted. Two-step authentication is also supported.