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Accurate locations and real nearby places, handled for you.
The restaurant recommendation is only good if it is actually near.
ProhostAI uses Google Maps to place your properties precisely and to find what is genuinely nearby — so directions, guidebooks and recommendations are grounded in real geography.
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Location questions are constant and unforgiving. A guest asking where to eat wants somewhere within walking distance of the actual front door, not somewhere in the same postcode. Get it wrong and the recommendation is worse than none: they walk twenty minutes and arrive somewhere shut.
Google Maps is what makes the answers real. Properties are geocoded to a precise point, and nearby places come from live map data with the details that matter attached — how far, what kind of place, whether it is currently open.
This one manages itself. There is nothing to configure and no separate Maps screen in the app: the AI uses it whenever an answer depends on where a property actually is, which is more often than you would guess.
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Google Maps is used automatically by the AI. There is nothing to manage manually.
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- Geocode a property — Turn an address into a precise location so distances and directions are correct.
- Find nearby places — Look up restaurants, shops, transport and attractions genuinely close to the property. “Where can we get breakfast within walking distance?”
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- Ground guest answers — Directions and recommendations come from real map data rather than a guess.
- Fill guidebooks — Populate local recommendations in a guidebook with places that actually exist nearby.
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Google Maps needs no setup. It is part of how ProhostAI answers location questions.
- 1Add your property with its address in ProhostAI.
- 2The address is geocoded automatically to a precise location.
- 3Ask a location question, or open a guidebook, to see nearby places drawn from live map data.
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There is nothing to connect and no separate Maps screen. The AI uses it whenever an answer depends on where a property is.
Accuracy depends on the address you enter. A vague or mistyped address produces confident but wrong distances.
Places data reflects what Google currently holds, including opening hours — which is why a recommendation can note that somewhere is closed today.
Pair it with Address Validation to catch the address problems before they become distance problems.
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