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Planet introduced the Planet AI App as a map-based conversational interface for searching and exploring ten years of its satellite imagery. The app lets users describe a feature in everyday language. They can then look for candidate locations without entering exact coordinates.
Planet says large language models interpret the request. They then query a searchable vector map built from visual features extracted from monthly imagery mosaics. The company also says the app can bring in publicly available information to add context to a result. That makes the search experience more than a simple image lookup.
The interface supports inspection of how a site has changed over time. Users can compare imagery side by side or use time lapses. Planet says search results point back to the underlying imagery, so users can inspect the source material and verify the result.
The app also includes a Deep Research feature. Planet says this feature can use agents for more involved analysis. In addition, the company says users can upload external images or CSV files. They can also track trends and schedule reports.
These functions suggest a workflow that moves from search to review. Users can identify a candidate location, inspect the imagery, and then follow changes over time. The app is presented as a tool for finding promising areas for investigation.
Planet describes early use in environmental protection and compliance. The company gives examples of conservation teams checking possible encroachment or deforestation alerts with imagery. It also gives an example of compliance teams identifying industrial sites near waterways as candidates for inspection.
These are examples described by the company. They show how the app may support investigation and review. The announcement frames the product as a way to surface areas worth checking and then let users examine the imagery directly.
Planet says access is free at launch through a sign-up. That makes the app available without an initial paid barrier, based on the company's announcement. The source does not add further pricing details.
The launch centers on search, verification, and analysis inside a single interface. It combines conversational input, visual search, and direct access to imagery. It also adds contextual information and reporting tools.
The announcement presents the Planet AI App as a practical search layer over Planet's imagery archive. Its main value appears to be speed and flexibility in finding candidate locations. The built-in link back to imagery is important because it lets users check what the search returns.
The source also suggests a careful workflow. Results should be reviewed against the imagery, especially when users are exploring possible environmental or compliance issues. The app's design supports that review step by keeping the underlying imagery accessible.
Planet's examples are limited to the company's own description. They should be read as illustrative use cases, not as broader claims about every possible application. Still, they show the kinds of investigations the company wants the app to support.
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