Scope note: This article explains the topic using public research and common engineering patterns. Retrieval, reranking, generation, and source-selection pipelines vary by product. Nothing here represents a disclosed universal ranking weight or a citation guarantee.
Temperature controls sampling from the next-token probability distribution during generation. It usually does not perform webpage retrieval, source reranking, or citation display, so a low temperature cannot be used to infer a guaranteed citation advantage for a content style.
What temperature affects
Lower values generally make wording more repeatable for a given prompt, while higher values generally increase variation. Implementations and defaults vary, and many products do not disclose or expose the setting.
What temperature does not reveal
Source selection may happen before generation through search, lexical retrieval, vector retrieval, and reranking. A low generation temperature does not prove that a system selects the ‘most authoritative’ page or gives fixed weight to short sentences, numbers, or a template.
Practical implications for content teams
- Use temperature to reason about output stability, not source rank.
- Observe product behavior with repeated tests that hold the question, mode, and time window as constant as practical.
- Provide accurate, clear, sourced information because it is useful and verifiable.
Boundary and conclusion
Temperature can affect wording and repeatability, but it is not a disclosed GEO citation weight.
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