This n8n workflow automates the process of analyzing keywords for SEO relevance and filtering them based on specific business rules. It combines data extraction, natural language processing with AI classification, and filtering logic to generate a curated list of keywords suitable for content optimization. Designed for digital marketing, eCommerce, or apparel companies, this workflow improves keyword targeting by integrating Google Drive for data retrieval, OpenAI for keyword classification, and Google Sheets for output. It begins with a manual trigger, pulls keyword and rule data, processes the information, applies filters via AI and custom code, and finally outputs the refined data for strategic use.
SEO Keyword Analysis and Filtering Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textClassifier, aggregate, code, extractFromFile, filter, googleDrive, googleSheets, if, manualTrigger, merge, set, stickyNote |
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