Personalization in AI search is emerging as models learn to consider individual user preferences, history, and context when formulating responses. This creates both opportunities and challenges for content visibility. The opportunity is that AI might recommend your content more prominently to users whose preferences align with your perspective or style. The challenge is that you might become invisible to users whose personalization profile doesn't match, even if your content is objectively relevant to their query.
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变化三：存储技术，持续演进需求分层与周期重构，倒逼存储技术进入产业化迭代的快车道。