Planet AI App Generally Available: Natural-Language Search Over a Decade of Satellite Imagery with Map Chat and Deep Research Agents

Core Background & Industry Pain Points

General chat models excel at internet text but cannot see today's fields, flood paths, or illegal encroachment. Classic GIS still demands trained operators and manual scanning, so discovery stays expensive. Planet wires its daily satellite archive into a chat UI so messy hunches about the physical world can start without GIS expertise.

Architecture Highlights & Internals

On 2026-11-05 the Planet AI App reached GA. LLMs interpret natural-language requests, then query a searchable vector map built from AI interpretation of visual features in monthly mosaics. Users can search back across a decade-plus archive for side-by-side or timelapse change views, with every result grounded in inspectable Planet imagery. Deep Research can deploy analysis agents, accept uploaded images/CSVs, track trends, and schedule reports; desktop and phone UIs are supported.

Authoritative Benchmarks & Measured Scores

This is a product GA; Planet published no model-score, retrieval-accuracy, or latency benchmarks. Vendor claims include a 10+ year daily archive and 3,000+ layers, plus a summer beta with hundreds of users. Re-check the blog and ai.planet.com; do not treat use-case stories as benchmarks.

Developer Hands-on Guide

Open ai.planet.com, ask in everyday language, and verify imagery on the map. Conservation and compliance teams can use conversational search to prioritize sites near waterways or habitat encroachment before field checks. Confirm licensing and shareable snapshot rules before production; do not rely only on model summaries for sensitive decisions.