This n8n workflow automates product research and SEO content creation by integrating Google Search, advanced language models, and Google Sheets. When a user submits a product title via a form, the workflow triggers a series of steps: it formats the input for search, performs targeted Google searches to gather competitor data, extracts relevant insights such as titles, descriptions, and keywords, and then uses language models like LangChain and Google Gemini to generate SEO-optimized metadata and engaging product content. The content is organized into clear sections and stored in Google Sheets for easy access. This automation streamlines the process of competitive analysis and content creation, making it ideal for marketers, product teams, and content creators seeking to enhance their SEO strategy efficiently.
Automated SEO Content & Product Research Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, code, formTrigger, function, googleSheets, httpRequest, set, stickyNote |
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