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How we collect data

AI models

Which AI assistants we ask, how, and what data each one gives — sources, searches, location.

Survelium asks the same AI assistants for all brands. In the model filter on each page they appear with their full name (for example "ChatGPT Live Search"), so you know exactly which variant was measured.

An assistant can answer from memory (what it learned in training) or by searching the web before it answers. Today people use the search version almost exclusively, so that's the one we measure: the answer reflects what the assistant finds on the web now, not what it knew a year ago. This is also where the cited sources come from.

Some assistants we read from the public interface, exactly what a person sees in the browser; the others we ask directly, with web search turned on.

The list

Model How we ask it Cited sources AI searches Brand country
ChatGPT public interface yes yes yes
Copilot public interface usually no yes
Google AI Mode public interface yes no yes
Google AI Overview Google result yes, when it appears no yes
Gemini directly, with search yes yes no
Claude directly, with search yes yes no
Perplexity directly, with search yes yes no
  • Copilot sometimes answers in conversation mode, with no sources. The answer counts; it just doesn't cite anything.
  • Google AI Overview is the AI box in Google results. For many searches Google doesn't show it at all; then the answer is empty and means "you don't appear" (see How we collect data).
  • Google AI Mode always shows a fixed number of sources, so the number of sources there doesn't tell you much.

Old models in the filter

The list of models changes over time: we add new assistants and remove variants that no longer reflect what people use. The model filter also shows removed models, so their history stays visible.

All models together

"All models" puts all answers together. A model that answered more times weighs more; we don't average the models. See Metrics.

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