Automated Content Research and Article Generation Workflow

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This n8n workflow automates the process of generating high-quality, research-backed articles using AI and web data. Starting with a form trigger where users specify their topical domain, keywords, and language preferences, the workflow proceeds to thorough research and content creation steps. It gathers authoritative articles and citations via web search, refines keywords and article outlines with OpenAI models, and generates detailed article sections based on structured prompts. The process involves multiple nodes for research, analysis, and content synthesis, resulting in a cohesive article in Markdown format. Suitable for content creators, marketers, or researchers, this workflow streamlines data collection, enhances accuracy, and ensures content quality through AI-powered research and writing automation.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, aggregate, code, convertToFile, emailSend, formTrigger, httpRequest, markdown, noOp, set, splitInBatches, splitOut, stickyNote, telegram

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