Experiment: Does repeated usage influence ChatGPT 5.4 outputs in a RAG-like setup?

An experiment with ChatGPT 5.4 in website, store, and blog chatbots suggests repeated user behavior can shape later answers in a RAG setup.

The author repeatedly used comparison and filtering queries, then saw a later question produce a response that echoed those prior interaction patterns.

The result points to prompt conditioning and interaction history influencing product discovery and recommendation outputs in production-like systems.

If confirmed, this means testing and deployment are part of system design, not just post-launch evaluation.