AI Fundamentals
Temperature
Temperature is a parameter controlling AI output randomness. Lower temperature (e.g., 0.1) makes outputs more deterministic and consistent; higher temperature (e.g., 0.9) makes outputs more diverse and creative. AI search engines typically use lower temperature for answer consistency.
Why It Matters for AEO
Low temperature AI search tends to cite authoritative, consistent sources. This means your brand information needs cross-platform consistency, and content must be fact-based. Consistency and authority are key to being cited in low-temperature environments.
Practical Examples
- 1Perplexity uses low temperature to ensure search answer accuracy
- 2ChatGPT's creative writing mode uses higher temperature
- 3Google AI Overview uses low temperature to reduce factual errors
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