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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.
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New features could continue to be developed in the inventory service. These changes would get deployed to our internal development environment's microservices to power new internal builds of the live-service game client. With minimal additional work, this same inventory logic could be used in the AOT serverless codebase to build out the DLL files needed to support the same functionality in the offline game client.
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