> ## Documentation Index
> Fetch the complete documentation index at: https://www.meilisearch.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Geo search

> Filter and sort search results by geographic location using coordinates, bounding boxes, and polygons.

Geo search allows you to [filter](/capabilities/filtering_sorting_faceting/getting_started) and [sort](/capabilities/filtering_sorting_faceting/how_to/sort_results) documents based on their geographic location. Use it to build store locators, delivery zone finders, local service directories, and any application where physical proximity matters.

## Supported geo formats

Meilisearch supports two ways to store geographic data:

* **`_geo` field**: a simple object with `lat` and `lng` properties for point locations
* **GeoJSON**: a standardized format for complex geometries including points, polygons, and multi-polygons

## Geo operations

| Operation         | Description                                     |
| ----------------- | ----------------------------------------------- |
| `_geoRadius`      | Filter results within a circular area           |
| `_geoBoundingBox` | Filter results within a rectangular area        |
| `_geoPolygon`     | Filter results within a custom polygon shape    |
| `_geoPoint`       | Sort results by distance from a reference point |

## Next steps

<CardGroup cols={2}>
  <Card title="Getting started" href="/capabilities/geo_search/getting_started">
    Index documents with coordinates and run your first geo search
  </Card>

  <Card title="Filter by radius" href="/capabilities/geo_search/how_to/filter_by_geo_radius">
    Find results within a distance from a point
  </Card>

  <Card title="Sort by distance" href="/capabilities/geo_search/how_to/sort_by_geo_point">
    Rank results by proximity to a location
  </Card>

  <Card title="GeoJSON format" href="/capabilities/geo_search/how_to/use_geojson_format">
    Index complex geometries with GeoJSON
  </Card>
</CardGroup>