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As a senior SEO professional, I utilize advanced techniques to mine hidden user needs by analyzing Baidu’s dropdown suggestions, related searches, and popular query patterns. Baidu’s dropdown box reflects the most frequent searches from the past week, while related searches show trends from the past month, providing invaluable data for identifying what users are actively searching for . For the core keyword “{Keywords}”, I have generated 20 highly relevant long-tail keywords that capture precise user intent, from informational queries to transactional searches. These phrases are crafted based on common search behaviors and are designed to be specific, problem-solving queries rather than generic titles, each limited to 15 words and wrapped in parentheses for clarity .
Informational Intent (Users Seeking Knowledge and Solutions)
Users at this stage are typically researching and asking “how,” “what,” or “why” questions. Their queries aim to gain knowledge, find solutions to problems, or understand concepts better, often revealed through Baidu’s dropdown and related search data .
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Commercial Investigation Intent (Users Comparing Options)
These queries include comparisons, reviews, or “best” lists, indicating users are evaluating tools, services, or strategies. Analyzing Baidu’s related searches and dropdown suggestions helps identify these comparative intents, as users narrow down choices before deciding .
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Transactional and Local Intent (Users Ready to Take Action)
These phrases include action-oriented terms like “hire,” “buy,” or “get,” or location modifiers, signaling high intent to purchase or engage with services. Mining dropdown suggestions with action words or locations helps capture these ready-to-convert users .
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