This n8n workflow is designed to streamline the process of analyzing keywords stored in a Google Sheet to determine if they contain references to known IT software, services, or tools. When triggered manually, it fetches a list of keywords from Google Sheets, processes them in batches, and uses AI-powered language models (including LangChain with OpenAI’s GPT-4) to evaluate each keyword. The analysis checks whether the keyword references a specific IT product, returning either ‘yes’ or ‘no’. The results are then systematically written back into the Google Sheet, facilitating easy tracking of which keywords relate to IT services. This workflow is particularly useful for SEO specialists, content marketers, and digital teams who want to categorize and analyze large sets of keywords efficiently for better targeting and content strategy.
Automated Keyword Analysis and Tagging for SEO Optimization
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, googleSheets, manualTrigger, splitInBatches, wait |
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