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Google Maps adds agentic features, including food ordering and hotel bookings

By Modelverse Editorial·August 6, 2026·2 min read
Google Maps adds agentic features, including food ordering and hotel bookings

Google Maps is significantly enhancing its "Ask Maps" feature, transforming it from a mere navigation tool into a sophisticated AI assistant capable of executing real-world tasks. The latest update introduces "agentic" capabilities, enabling users to directly order food, book hotels, and find event tickets within the app. Complementing this, "Personal Intelligence" will allow Ask Maps to deliver highly personalized responses by leveraging information from a user's Gmail and Google Calendar, marking a substantial leap towards a more proactive and integrated user experience.

These new functionalities operate by allowing users to articulate complex requests in natural language. For instance, one can ask for specific vegan dishes near home, and Ask Maps will identify suitable restaurants, facilitate adding items to a cart, and direct users to supported platforms like Square or Uber Eats for payment. Similarly, users can describe their ideal hotel for a trip, including preferences for price, ratings, and amenities, prompting Ask Maps to compare options and link to booking sites. For entertainment, users can inquire about local events, receiving a curated list with links to purchase tickets. The Personal Intelligence feature further refines this by answering questions about upcoming flights or recommending activities based on personal calendar entries and emails.

For developers and researchers, this announcement underscores a pivotal shift in the application of AI, moving beyond information retrieval to multi-step, task-oriented execution within a widely adopted consumer platform. It highlights the growing importance of agentic AI systems that can understand nuanced user intent, interact with external services, and integrate personal context for a truly intelligent experience. This evolution presents exciting challenges and opportunities in natural language understanding, secure data integration, and the development of robust, context-aware AI agents that can seamlessly bridge the digital and physical worlds.

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