{"id":3932,"date":"2025-10-18T02:39:19","date_gmt":"2025-10-18T02:39:19","guid":{"rendered":"https:\/\/violethoward.com\/new\/developers-can-now-add-live-google-maps-data-to-gemini-powered-ai-app-outputs\/"},"modified":"2025-10-18T02:39:19","modified_gmt":"2025-10-18T02:39:19","slug":"developers-can-now-add-live-google-maps-data-to-gemini-powered-ai-app-outputs","status":"publish","type":"post","link":"https:\/\/violethoward.com\/new\/developers-can-now-add-live-google-maps-data-to-gemini-powered-ai-app-outputs\/","title":{"rendered":"Developers can now add live Google Maps data to Gemini-powered AI app outputs"},"content":{"rendered":"


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Google is adding a new feature for third-party developers building atop its Gemini AI models that rivals like OpenAI's ChatGPT, Anthropic's Claude, and the growing array of Chinese open source options are unlikely to get anytime soon: grounding with Google Maps.<\/p>\n

This addition allows developers to connect Google's Gemini AI models' reasoning capabilities with live geospatial data from Google Maps, enabling applications to deliver detailed, location-relevant responses to user queries\u2014such as business hours, reviews, or the atmosphere of a specific venue. <\/p>\n

By tapping into data from over 250 million places, developers can now build more intelligent and responsive location-aware experiences.<\/p>\n

This is particularly useful for applications where proximity, real-time availability, or location-specific personalization matter\u2014such as local search, delivery services, real estate, and travel planning. <\/p>\n

When the user\u2019s location is known, developers can pass latitude and longitude into the request to enhance the response quality.<\/p>\n

By tightly integrating real-time and historical Maps data into the Gemini API, Google enables applications to generate grounded, location-specific responses with factual accuracy and contextual depth that are uniquely possible through its mapping infrastructure.<\/p>\n

Merging AI and Geospatial Intelligence<\/b><\/h3>\n

The new feature is accessible in Google AI Studio, where developers can try a live demo powered by the Gemini Live API. Models that support the grounding with Google Maps include:<\/p>\n