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As a senior SEO professional, I analyze the core keyword “{Keywords}” by meticulously examining Baidu’s dropdown suggestions, related search terms, and prevalent user query patterns . The objective is to uncover the specific, long-tail phrases that real users are typing into search engines, which often reveal hidden needs and have higher conversion potential . These keywords are crafted based on common search behaviors, leveraging methodologies that simulate the analysis of real-time search data to ensure they reflect what everyone is actually searching for .
Informational Intent (The “How,” “What,” and “Why” Searches)
Users at this stage are seeking knowledge, solutions to problems, or detailed explanations. Their queries are typically question-based and indicate a research phase, where the goal is to learn or troubleshoot an issue . The Baidu dropdown box is particularly useful for identifying these recent, high-frequency question-based queries .
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Commercial Investigation Intent (The “Review,” “Comparison,” and “Best” Searches)
Users here are comparing specific tools, services, or strategies. Their queries include product names, brands, and comparative terms, signaling they are in the evaluation phase and narrowing down their options before a decision . Analyzing “related searches” and “others also searched for” sections at the bottom of the results page can reveal these comparative intents .
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Transactional and Local Intent (The “Buy,” “Hire,” or “Find” Searches)
These phrases include action-oriented terms like “hire,” “get,” or location modifiers, indicating a high intent to purchase, engage with a service, or find a local solution. Users at this stage are often ready to convert . Deeply mining dropdown suggestions by adding location or action words is a key technique here .
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