How AI Search Works
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How do AI search engines handle time-sensitive vs evergreen queries about brands?
Time-sensitive queries push the engines into retrieval-first behavior, pulling live web pages and news. Evergreen queries draw more from training data and Wikipedia. Strategy has to match each pattern.
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How do AI search engines handle conflicting information about a brand?
By weighting source authority and recency, often presenting one version with caveats or showing both. Reputation work focuses on making the accurate version the dominant one.
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What is the difference between AI training data and AI retrieval data?
Training data is what the model learned during pre-training. Retrieval data is what the model fetches live at query time. Reputation work targets both: training influence is slower but durable, retrieval is near-real-time.
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How do AI models decide what to say about my organization?
Based on the sources the engine has access to, the prompt's framing, and how authoritative each available source signals at synthesis time. Source mix and weighting do the work.
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