Anywhere structured. PostgreSQL with PostGIS works well for engineering teams, Google Sheets works for editor-only teams, a flat JSON file works for static atlases. SleekRank reads any of them via the matching data source type.

The base template includes one map component (Leaflet, Mapbox, Google Maps, your choice). A selector mapping reads latitude and longitude from each row and passes them to the component. The embed code lives in the template, so it stays consistent across all places.

Yes. Add a geometry column with GeoJSON polygons and configure the map component to render it. SleekRank passes the GeoJSON through as a string; the map library handles the rendering.

Add a scale or type column (continent, country, state, city, landmark) and use it to drive template variations or zoom defaults. The same source can carry places at any scale; the template adapts.

Knowledge panel inclusion depends on entity recognition and Wikidata alignment, not on the platform that publishes the page. SleekRank delivers valid Place schema, which is the prerequisite, but panel candidacy is Google's call.

Add a parent_slug column for containing region (continent for countries, country for states, state for cities). List mappings can render breadcrumbs and 'contains' lists, so a country page shows its states automatically.

Build a 'suggest a correction' form on the base template that submits to the source system (Google Form to Sheets, or a custom endpoint to the database). Editors review and apply changes; the next cache cycle propagates them to the live atlas.

Add an alternate_names array per row and render it as 'also known as' in the infobox. For disputed names, a separate field can carry context and the template can present the variants with the appropriate framing.