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Introducing Contextual View in Google Maps AI Kit With Interactive Experiences

  • Writer: 28East
    28East
  • 8 hours ago
  • 2 min read

Text-based AI replies can feel flat. With the new Contextual View, part of Google Maps AI Kit, it’s now possible to enrich AI chat interfaces with interactive maps, real-world data and visual context. This adds a new dimension to conversational and map-powered experiences for businesses and users alike.


Make AI Conversations Visual and Intuitive


Contextual View is a low-code widget that lets you embed interactive map content directly inside AI chat responses, including:

  • 2D or 3D maps.

  • Place markers.

  • Photos.

  • Reviews.

  • Any additional place details. 

Instead of just reading about a location, users can see it, explore it and interact with it visually.


Help Users Make Confident, Informed Decisions


By combining map visuals with trusted real-world information, Contextual View removes guesswork.


Whether it is a customer choosing a store location, a traveller deciding where to visit, logistics team planning routes, visual context helps users understand layout, proximity, and surroundings. This leads to clearer, more confident decisions.


Speed Up Development With Simple Integration


Instead of building complex map user interfaces from scratch, developers only need a few lines of code to integrate Contextual View.

The widget uses a context token from the API to render interactive map content with the necessary data. This can significantly reduce development time and ongoing maintenance.


Why This Matters for African Businesses and Enterprises


For companies in Africa working in e-commerce, logistics, travel, urban planning or field services, context in maps is essential.

Contextual View enables tools such as interactive store locators, delivery zone bots, travel advisors and local service finders with real visual context. These experiences are more intuitive and more trustworthy for users.



28East Can Help You Put It to Work


At 28East, we combine local insight with deep expertise in map-powered technology. We can help you embed Contextual View into your AI applications, tailor map-based experiences for African contexts and turn prototypes into robust, scalable solutions.


 
 
 

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