This n8n workflow streamlines and automates the process of content generation, review, and publication on WordPress. It integrates AI language models, database operations, and automated webhooks to facilitate efficient content management. The workflow begins with scheduled triggers, collecting data such as keywords, articles, and sitemap information from GitHub and Postgres databases. AI models, including OpenAI and LangChain, generate content outlines, headers, FAQs, and detailed texts based on input data and specific prompts. It then proceeds through multiple steps of data processing, scoring, and filtering to refine content quality. The refined content is formatted and inserted into blogs, with approval notifications and internal linking logs. The system ensures that content is generated, reviewed, and published with minimal manual intervention, ideal for managing large volumes of blog posts, SEO content, and website updates automatically.
Automated Content Creation and Publication Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, extractFromFile, filter, github, httpRequest, limit, merge, noOp, perplexity, postgres, postgresTool, scheduleTrigger, set, slack, splitInBatches, splitOut, stickyNote, wordpress |
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