Automated Content Generation and Social Sharing Workflow

This n8n workflow automates the process of transforming uploaded documents or text into engaging LinkedIn posts, streamlining content creation and distribution. It begins with a form trigger where users submit files or text. The workflow then processes the files—whether PDFs, Word documents, or plain text—using extraction nodes. If a PDF or document is uploaded, the content is extracted; for text files, only the text is retrieved. The extracted content is sent to an AI language model (GPT-4-mini) which generates a personalized LinkedIn post following a specific 4-step content strategy: defining a game, identifying the ideal client, focusing on key content pillars (problem, solution, proof), and tailoring the message for small businesses. The generated post, along with an image, is then shared directly on LinkedIn. Additionally, the workflow includes a verification step via email, allowing the user to approve or decline the content before it gets posted, ensuring control. This setup is ideal for content marketers, freelancers, and small business owners who want to automate their social media content creation from documents or ideas, saving time and maintaining engagement with their audience.