SearchD flags data-modelling pitfalls when mixing ChatGPT UI and API observations

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Digital agency SearchD ran an identical agency-selection query about Korean beauty products once in the consumer ChatGPT interface on 14 September 2026 and five times via the Responses API with web search enabled on 16 September. One agency appeared consistently across all five API runs, despite having an Ahrefs Domain Rating of just 0.7, while SearchD itself appeared in neither setting. The team warns that treating the UI observation as a sixth API run is a data-modelling error, since the two collection environments differ in surface, configuration, and knowable metadata. They recommend logging each surface separately, using per-run domain sets to avoid inflating recurrence counts, and recording unknown fields explicitly rather than inheriting API settings. The post stresses that five runs of a single question cannot support causal claims or broad market conclusions, and urges preserving raw observations for more targeted follow-up tests.

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