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This is the critical step. If a key with Gemini access is embedded in client-side JavaScript, checked into a public repository, or otherwise exposed on the internet, you have a problem. Start with your oldest keys first. Those are the most likely to have been deployed publicly under the old guidance that API keys are safe to share, and then retroactively gained Gemini privileges when someone on your team enabled the API.

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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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