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.
The first step is to specify which APIs our application needs. This is done using an IDL called WIT. For our example, we need the Console API. We can import it by specifying the name of the interface.
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