The tracking system consists of three automated scenarios that work together to provide comprehensive AIO monitoring. The first scenario handles query tracking and brand mentions, automatically sending prompts to ChatGPT and recording which sources appear in responses. The second scenario performs keyword performance analysis, tracking specific topics or phrases relevant to your business and monitoring whether you're gaining or losing visibility. The third scenario focuses on competitor tracking, identifying when competitors appear in AI responses and analyzing their positioning compared to yours.
Cursor uses Apple’s Seatbelt (sandbox-exec) on macOS and Landlock plus seccomp on Linux. It generates a dynamic policy at runtime based on the workspace: the agent can read and write the open workspace and /tmp, read the broader filesystem, but cannot write elsewhere or make network requests without explicit approval. This reduced agent interruptions by roughly 40% compared to requiring approval for every command, because the agent runs freely within the fence and only asks when it needs to step outside.
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