How to distinguish between AI-recommended traffic and user-initiated search traffic?

The distinction between AI-recommended traffic and user-initiated search traffic can be comprehensively judged based on traffic sources, user intent, and behavioral characteristics. When users do not actively input search terms but receive content pushed by platform algorithms based on historical browsing and interest tags, it is usually AI-recommended traffic; when users obtain information by entering specific keywords (such as "product reviews" or "solutions") through the search box, it belongs to user-initiated search traffic. Specific distinctions can focus on: Traffic source identifiers: AI-recommended traffic often shows channels such as "Recommended", "Homepage", and "Related Recommendations"; active search traffic is mostly labeled "Search Results" and "Keyword Search". Differences in user intent: The intent of users with recommended traffic is relatively vague, and they are mostly passive recipients (such as content recommendations when browsing short videos); the intent of active search traffic is clear and points to specific needs (such as searching for "SEO optimization methods"). It is recommended to view the "Traffic Sources" report through website analysis tools (such as Google Analytics, Baidu Statistics), and further distinguish by combining data such as user search terms and dwell time. In daily operations, keyword layout can be optimized for active search traffic, and content attractiveness can be focused on for recommended traffic to accurately match the needs of users with different traffic types.