Google Maps Adds Generative AI

Google has rolled out a new feature that uses generative AI to improve how users discover local spots through Google Maps. The update taps into insights from Google’s Local Guides — a community of over 120 million contributors — and uses large language models (LLMs) to deliver more nuanced, context-aware suggestions.

Smarter Discovery with Generative AI

Instead of relying on broad search categories like “restaurants” or “parks,” users can now ask more detailed questions such as “places with a vintage vibe for a date night” or “activities for a rainy afternoon.” The AI model analyses millions of reviews, photos, and ratings from Local Guides to offer personalized results instantly.

This approach aims to mimic the experience of asking a local friend for advice, but on a much broader and scalable level.

Real-World Testing in the US

The feature is currently being tested with select Local Guides in the United States. Feedback from this phase will help improve the model's accuracy and usefulness before a wider release. Google says the AI will continue to learn from real-world interactions, making the recommendations more relevant over time.

What Makes It Different?

• The model understands natural, conversational prompts.

• Results are curated from user-generated content, not just business data.

• Suggestions are grouped into themed categories for easier browsing.

• The system improves as users interact with it.

This upgrade could significantly change how people plan their outings, giving them smarter tools to navigate urban life with confidence.