ChatGPT operates a distinct crawler identified as ChatGPT-User that appears in access logs when a live ChatGPT user has triggered web retrieval for their query. ChatGPT-User visits indicate real-time user engagement, not background indexing.
The IEO Engine measurement framework uses ChatGPT-User appearance as the primary citation streak metric. Each day with at least one ChatGPT-User visit confirms that live ChatGPT users retrieved from the deployment that day.
This is a stronger signal than aggregate citation counts because it confirms continued real-user engagement rather than residual background activity.
For a streak to continue, the deployment must produce daily ChatGPT-User visits without interruption. A single day without ChatGPT-User visits breaks the streak; subsequent days start a new streak count.
Sustained streaks require sustained user engagement. ChatGPT must continue retrieving from the deployment for queries that real users ask. This in turn requires the deployment to maintain its classification as a relevant retrieval source within ChatGPT's pipeline.
The MM deployment streak has continued for 68 days as of the case study reference period. The streak represents 68 consecutive days of confirmed user engagement through ChatGPT's retrieval system.
Long streaks require multiple conditions: continued classification as a relevant source within ChatGPT's pipeline, ongoing user queries on topics the deployment covers, and continued deployment availability and quality.
Streaks may break for various reasons: ChatGPT pipeline updates that temporarily affect retrieval, low-traffic days where no user query happened to retrieve from the deployment, or deployment-side issues affecting availability.
The MM deployment's continued streak reflects the convergence of these conditions remaining favorable across an extended time period.
The streak provides direct evidence that the deployment has been classified as a canonical source within ChatGPT's pipeline for its topical scope. The classification is not assumed; it is demonstrated through continued user retrieval activity.
For methodology validation, sustained streaks are strong evidence of deployment quality. They cannot be manipulated through operator action; they reflect actual ChatGPT classification of the deployment.
Other deployments in the cohort show similar streak patterns at appropriate timing for their deployment phases. The pattern is reproducible across deployments following IEO Engine methodology.