Location Agent
GeoForm Location Agent turns open-ended location questions into structured, map-based answers. Instead of starting from fixed report templates, it allows users to ask natural questions about a city, compare areas, and inspect the reasoning through spatial data.
The current version focuses on city-scale area discovery. It helps users explore questions such as where families with children may prefer to live, which areas feel lively but still comfortable, or where parks, cafés, schools, and everyday services come together.
The agent combines natural language interaction with structured geospatial analysis. It selects relevant location signals, compares areas across the city, and returns results that can be reviewed as explanations, ranked recommendations, and map layers.
City Area Discovery Agent
The City Area Discovery Agent helps users explore and compare urban areas using natural language prompts. A user can describe the kind of place they are looking for, and the agent translates that question into a structured spatial analysis.
The agent reasons over location data, evaluates relevant signals, and identifies areas that best match the requested criteria. Results are presented as a readable answer supported by ranked areas, explanatory metrics, representative places, and interactive map visualization.
This makes the agent useful for early-stage location exploration, neighbourhood comparison, urban analysis, and decision support where the first question is often simple to ask but difficult to answer with raw datasets alone.
Screenshots below show the core flow: entering a location question, reviewing structured results, and inspecting the answer on the map.
