When repeated observations are useful
You may need to follow an offer across selected assistants or examine whether a brand confusion recurs. The starting point is a documented panel. Its observations describe the responses collected under those conditions.
Questions about a national service and questions about particular establishments belong to separate groups when their expected answers differ. We retain that distinction when comparing later observations.
What we prepare and compare
We agree the questions and the products to query, with French and English panels identified separately. Each collection records its date and the France context actually available. Naming France in a prompt is not equivalent to controlling every location signal: ChatGPT’s search documentation describes several sources of context.
Responses and their cited references are retained for review. A brand mention is distinguished from a linked citation. A visit is reported only where audience data makes it observable, so the same occurrence is not presented as three different measures of success.
What you receive
The report compares observations under the agreed conditions and explains where the panel or product changed. It separates a recurring finding from an isolated variation and states what the evidence cannot resolve.
Publishing a France page does not by itself establish the cause of a later increase. The analysis records that limitation and the evidence needed to examine a possible connection. A specific error that first needs investigation belongs in a GEO audit for France.
Scope of the engagement
The proposal sets the products, questions and collection frequency. It confirms which markets the collection method supports and the limits of interpretation. Delivery is in English or French; the service does not promise future citations or a universal score.
Define the observations you need, or review the general AI visibility tracking service.