This n8n workflow automates the process of researching blog topics, generating content outlines, and organizing sourced information for creating comprehensive blog posts. Triggered by form submissions, it employs language model nodes for brainstorming topics and drafting introductions, then gathers content from Google Sheets and web sources. The workflow structures content into chapters, generates tables of contents, and prepares the final content sections for export. This setup is ideal for bloggers, content marketers, or teams aiming to streamline their article creation with AI assistance, ensuring consistent content flow and detailed research compilation.
Automated Blog Research and Content Structuring Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, formTrigger, googleSheets, httpRequest, merge, set, splitInBatches, splitOut, stickyNote |
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