Geospatial AI with real-world intelligence
Transform ideas into innovations with AI-powered tools, grounded in Google's fresh, real-world data and cutting-edge technology.
From idea to innovation, accelerated by Google AI
Prompt naturally, build easily
Create custom-coded geospatial experiences in minutes with Builder agent
Use Gemini models and adaptive reasoning to help transform what you create and how you do it. Vibe code any geospatial idea to create a custom prototype, source code, and solution guide using Google Maps Platform products.
Build faster with confidence
Go from a natural language prompt to a working prototype in minutes with Google Maps Platform agents.
Maps Styling agent
Quickly generate unique customized map styles in AI Studio and Builder agent with ease.
Route Optimization agent
Optimize the route plan for your fleet in natural language with an AI agent.
Take Google Maps Platform expertise wherever you code
Bring the latest from Google Maps Platform into your favorite AI coding assistant
Make your AI coding assistant a Google Maps Platform expert. The Code Assist Toolkit provides your assistant with our official, up-to-date documentation.
This grounding in our official resources helps you generate more accurate, reliable, and useful code, so you can move from idea to prototype faster.
Create more relevant user experiences with AI-powered products
Explore products for use with AI
Create richer, more contextual AI experiences. Our tools allow you to ground your applications in Google's vast, real-world data, ensuring your users get the most accurate and relevant information.
Contextual View
Enrich your AI chat with interactive maps and Places data from the Google Maps AI Kit.
Smarter data and smarter solutions
Your AI is only as smart as its data. Ground it in reality with AI-powered summaries that provide rich, human-centric context, and geospatial analytics that deliver operational awareness. Go beyond simple look-ups and build applications that let you truly understand the world.
Place, review, and area summaries
Provide helpful summaries of places, user reviews, and local areas, all generated by Gemini's powerful AI.
AI-ready data analytics
Easy-to-use geospatial datasets and AI-powered tools enable you to reveal powerful business and sustainability insights, all without GIS training.
Build with AI safely and responsibly
We are deeply committed to Responsible AI. Our goal is to build AI systems that are reliable, secure, and respect user privacy. We strive to mitigate potential risks like bias and misinformation, ensuring our AI-powered geospatial tools promote fairness and equity for all users and adhere to the highest data privacy standards.
Frequently asked questions
To start building with AI, use Google Maps Platform Builder agent to create custom-coded geospatial experiences in minutes. Simply input your project requirements using natural language and let AI do the rest. Vibe code any geospatial idea to generate a prototype including source code and solution guide.
Geospatial development is a unique and complex field, requiring precision and an understanding of nuanced information. While AI agents can quickly generate code snippets or even entire functions, the output may be error prone. This is where code assist tools become invaluable for developers to transform the output of AI agents into more reliable, high-quality, and secure code, empowering geospatial developers to build more, faster, and better.
At Google, we view AI agents as software systems that use AI to pursue goals and complete tasks on behalf of users. They show reasoning, planning, and memory and have a level of autonomy to make decisions, learn and adapt. Sometimes these features are referred to as agentic AI. In large part, agents are made possible by multimodal generative AI and foundation models like Gemini, which enable them to simultaneously process many types of information, such as text, code, documentation, and more. AI agents go beyond chat and AI predictions to do things for us, with minimal human intervention. Learn more.
Geospatial AI and location-based services offer powerful tools, especially for industries where location, mobility, and geographical context are central to core operations and customer experiences. Some sectors that use Google Maps Platform capabilities to drive innovation include:
Logistics & Transportation: Optimizing delivery routes, managing complex fleets, real-time asset tracking, and enhancing ride-sharing services to ensure efficiency and timely arrivals.
Retail & E-commerce: Improving supply chain visibility, providing accurate store locators, personalizing shopping experiences based on proximity, and streamlining last-mile delivery.
Real Estate & Construction: Gaining insights into property values, analyzing market trends, selecting optimal development sites, and visualizing urban planning projects.
Government & Public Sector: Empowering smart city initiatives, improving urban planning, enhancing emergency response, and visualizing public services for citizens.
Tourism & Hospitality: Crafting personalized travel experiences, offering intuitive navigation, and highlighting points of interest to enrich visitor journeys.
Google Maps Platform integrates generative and agentic AI to deliver accurate and up-to-date location information for your applications. Our AI capabilities help businesses develop faster to deliver seamless navigation, intelligent search, personalized recommendations and more. AI enhances our platform to improve accuracy of information, efficiency of journeys, discovery of places, personalization of user experience, and to accelerate development.
An MCP server acts as a universal interface, allowing large language models (LLMs) and AI agents to seamlessly interact with geospatial tools and data. Instead of needing custom integrations for every single geospatial API, the MCP server provides a standardized way for AI to understand and use capabilities like geocoding, routing, or place searches. The benefits of using an MCP server include faster development by removing the need for custom API integration, richer context by sourcing external data, and enhanced interoperability by easily connecting data and tools. Learn more.
We understand concerns around AI-generated code and data and we're dedicated to helping you build securely and responsibly. Our approach to AI is guided by a core set of Google AI Principles. We're working to develop AI in a way that is bold, responsible, and collaborative. While AI offers immense potential, we're mindful of challenges and potential vulnerabilities. We provide resources to help you integrate AI tools safely so your solutions are robust and secure from the ground up and emphasize the importance of best practices for implementation, security, and privacy. Learn more about our commitment to Google Responsible AI and visit our Google Maps Platform Trust Center.
To start building with AI, use Google Maps Platform Builder agent to create custom-coded geospatial experiences in minutes. Simply input your project requirements using natural language and let AI do the rest. Vibe code any geospatial idea to generate a prototype including source code and solution guide.
Google Maps Platform integrates generative and agentic AI to deliver accurate and up-to-date location information for your applications. Our AI capabilities help businesses develop faster to deliver seamless navigation, intelligent search, personalized recommendations and more. AI enhances our platform to improve accuracy of information, efficiency of journeys, discovery of places, personalization of user experience, and to accelerate development.
Geospatial development is a unique and complex field, requiring precision and an understanding of nuanced information. While AI agents can quickly generate code snippets or even entire functions, the output may be error prone. This is where code assist tools become invaluable for developers to transform the output of AI agents into more reliable, high-quality, and secure code, empowering geospatial developers to build more, faster, and better.
An MCP server acts as a universal interface, allowing large language models (LLMs) and AI agents to seamlessly interact with geospatial tools and data. Instead of needing custom integrations for every single geospatial API, the MCP server provides a standardized way for AI to understand and use capabilities like geocoding, routing, or place searches. The benefits of using an MCP server include faster development by removing the need for custom API integration, richer context by sourcing external data, and enhanced interoperability by easily connecting data and tools. Learn more.
At Google, we view AI agents as software systems that use AI to pursue goals and complete tasks on behalf of users. They show reasoning, planning, and memory and have a level of autonomy to make decisions, learn and adapt. Sometimes these features are referred to as agentic AI. In large part, agents are made possible by multimodal generative AI and foundation models like Gemini, which enable them to simultaneously process many types of information, such as text, code, documentation, and more. AI agents go beyond chat and AI predictions to do things for us, with minimal human intervention. Learn more.
We understand concerns around AI-generated code and data and we're dedicated to helping you build securely and responsibly. Our approach to AI is guided by a core set of Google AI Principles. We're working to develop AI in a way that is bold, responsible, and collaborative. While AI offers immense potential, we're mindful of challenges and potential vulnerabilities. We provide resources to help you integrate AI tools safely so your solutions are robust and secure from the ground up and emphasize the importance of best practices for implementation, security, and privacy. Learn more about our commitment to Google Responsible AI and visit our Google Maps Platform Trust Center.
Geospatial AI and location-based services offer powerful tools, especially for industries where location, mobility, and geographical context are central to core operations and customer experiences. Some sectors that use Google Maps Platform capabilities to drive innovation include:
Logistics & Transportation: Optimizing delivery routes, managing complex fleets, real-time asset tracking, and enhancing ride-sharing services to ensure efficiency and timely arrivals.
Retail & E-commerce: Improving supply chain visibility, providing accurate store locators, personalizing shopping experiences based on proximity, and streamlining last-mile delivery.
Real Estate & Construction: Gaining insights into property values, analyzing market trends, selecting optimal development sites, and visualizing urban planning projects.
Government & Public Sector: Empowering smart city initiatives, improving urban planning, enhancing emergency response, and visualizing public services for citizens.
Tourism & Hospitality: Crafting personalized travel experiences, offering intuitive navigation, and highlighting points of interest to enrich visitor journeys.