How Walkable

Walkability scores anywhere

View in the ChatGPT registry
Category
Pending
Primary Subcategory
Pending
Integration details

Description

How Walkable rates how walkable any address, neighbourhood or city on Earth is, from 0 (car-dependent) to 100 (daily errands need no car). Ask about a place and get its score, what it means, and the nearest groceries, restaurants, shops, cafés, banks, parks, schools, libraries and venues, each with its walking time. Compare places by asking about several at once, which helps when choosing where to live, work or stay. For about 250 large cities, it also gives each city's world and national rank, and it can list the most or least walkable large cities worldwide or in a country. Scores are calculated from open map data (Overture Maps and OpenStreetMap): everyday places within a walk earn points that fall with distance, and sparse street networks lose up to 20%. The full method is at howwalkable.com/methodology. Limitations: scores are estimates from map data, which can be incomplete, so places where shops are poorly mapped score too low. Walking distance is estimated from street density rather than routed, and the score does not consider hills, sidewalks, safety or transit. Mainland China is not covered for city rankings. The app needs no account, and it rates only the place names ChatGPT sends it; it does not use your location.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
No account required
First tracked
2026-10-15
Tool count
2
Geography
US
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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce How Walkable has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

2 tools agents can invoke

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FAQs

How Walkable ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve How Walkable's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.