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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Александра Лисица (Редактор отдела «Забота о себе»)
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最直接的路径，是广告化。与提高明面抽佣不同，广告化并不改变交易费率，而是将货币化重心转移到曝光、排序与推荐之上。商户为被看到的概率付费，而非为成交本身付费。从商业本质看，这是将抽佣从交易端移至流量端。