Once you've identified target queries, the automated system tests them periodically—daily, weekly, or on whatever schedule makes sense for your monitoring needs. Each test queries the AI model with your specified prompt, captures the response, parses which sources were cited, and records whether your content appeared. Over time, this builds a database showing your visibility trends, how often competitors appear for the same queries, and which topics you're gaining or losing ground on.
The type=local output is the most interesting for non-image use cases. Your build can produce compiled binaries, packages, documentation, or anything else, and BuildKit will dump the result to disk. No container image required.
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