> For the complete documentation index, see [llms.txt](https://docs.predicthq.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.predicthq.com/api/saved-locations/overview.md). # Overview Saved Locations are persistent, user-defined geographic entities that serve as reusable identifiers across PredictHQ’s platform. Defined using a name and a GeoJSON location shape, they may also include an external ID and optional labels for filtering or grouping. Saved Locations simplify how you access event data, generate features, and run forecasts by eliminating the need to repeatedly supply raw coordinates or radius settings in each API call. We strongly recommend all customers use Saved Locations to ensure consistency and scalability across location-specific workflows, especially when managing large sets of business locations. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.predicthq.com/api/saved-locations/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.