Use the supported selection boundary.
The ChatGPT choice is constrained in the UI and model to United States and English. Keep that boundary visible when describing or interpreting a result.
ChatGPT · LLM Mentions
Inspect supported ChatGPT mention evidence.
Gavix LLM Mentions includes a ChatGPT provider selection constrained to United States and English, so practitioners can inspect returned mention evidence within that selection scope.
Direct answer
Use the supported selection boundary.
For the United States and English ChatGPT selection, use LLM Mentions to inspect returned mention evidence in the selected operation context; it does not establish rankings or global coverage.
Keep the United States and English constraint visible when inspecting or communicating a returned ChatGPT result.
Supported workflow
Review returned mention evidence in context.
Inspect returned mention context.
Supported operations expose returned mention/search fields and may include provider or model context, sources, search results, and brands when the contract supplies them.
Avoid extrapolating from a result.
Returned evidence is not a promise of future ChatGPT mentions, rankings, or coverage in unsupported locales.
Repeat only comparable checks.
For a later ChatGPT observation, preserve the United States and English selection, target, and operation so a returned difference does not simply reflect changed inputs.
Question
Keep the product boundary explicit.
Can this page claim all ChatGPT locales are covered?
No. The verified product constraint for the ChatGPT selection is United States and English.