Webinar on Using Search Analytics for Improving Content
With the rise of Generative AI (GenAI) tools such as ChatGPT and Gemini, users demand swift and precise answers to queries. Traditional knowledge bases often rely on lexical search based on “keywords,” but this is increasingly being replaced by more advanced ChatGPT-like search tools with Prompts.
By analyzing these prompts, technical writers can gain valuable insights into user intent, identify knowledge gaps, and enhance specific content in the knowledge base. This webinar by Selvaraaju Murugesan will introduce techniques for utilizing analytics from prompts and combining them with keyword-based searches to improve your knowledge base.
𝐊𝐞𝐲 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬:
► Traditional keyword-based search engines are evolving to prompt-based interfaces like ChatGPT and Gemini, with people prefer typing questions (prompts) and getting instant answers.
► Lexical search relies on keywords for quick indexing and ranking, while semantic search uses prompts to deliver personalized answers.
► GenAI search analytics store user prompts to enhance understanding of user intent, optimize responses, and boost user satisfaction.
► Lexical search captures search keywords and categorizes them into “Top-performing” and “No results found” keywords. With this, Technical writers can leverage "No results found" keywords to identify gaps and create targeted content or suggest new features.
► Adopting GenAI-powered tools like Eddy in Document360 store prompts in the backend and help technical writers understand user intent better, provide a user-centric response, increase self-service, and improve user satisfaction.
► For a comprehensive view, combine lexical and GenAI search analytics. This approach offers deeper insights into shifting customer behavior and helps identify the information they seek, improving content strategy and customer satisfaction.
𝐏𝐏𝐓 𝐒𝐥𝐢𝐝𝐞𝐬: https://bit.ly/SearchAnalyticsforImpr...
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