LinkedIn content factory: Auto-generate posts with GPT-5, DALL·E & Google Sheets
Overview
Tired of cookie-cutter “AI LinkedIn post generators”? This workflow goes beyond just text generation — it orchestrates the entire lifecycle of a LinkedIn post. From idea capture to deduplication, from GPT-powered drafting to automatic image generation and link storage, it creates ready-to-publish posts while keeping your content unique and audit-friendly.
What does this workflow do?
This workflow:
Captures Ideas & Briefs – Inputs are logged in Google Sheets with audience, goals, and angles.
Deduplicates Smartly – Avoids repeating hooks or ideas with fuzzy GPT-based dedupe + GSheet logs.
Generates Posts – GPT (OpenAI) drafts sharp LinkedIn-ready posts based on your brief.
Creates Images – Post hook + body is sent to an Image Gen model (DALL·E / SDXL) → PNG asset.
Stores & Links – Final text + image uploaded to Google Drive with shareable links.
Audit Trail – GSheets keeps full history: raw idea, draft, final post, assets, notes.
Why is this useful?
Most “AI post generators” just spit out text. This workflow builds a real publishing pipeline:
🔄 No duplicates → keeps posts fresh & original.
🖼 Images included → auto-generated visuals increase engagement on LinkedIn.
📊 Audit-ready → every post has a traceable log in Sheets.
⚡ Fast iteration → from half-baked thought → polished post in minutes.
Tools used
n8n (Orchestrator): Automates triggers, merges, retries, and Google connectors.
OpenAI (LLM): Idea generation, drafting, fuzzy dedupe, and voice conformity.
Google Sheets: Source of truth — stores ideas, dedupe logs, audit trail.
Google Drive: Stores rendered images and shares links for publishing.
Image Generation (DALL·E / SDXL): Creates header graphics from hook + body.
Who is this for?
🧑💻 Product Managers / Founders who want to post consistently but don’t have time.
🎨 Creators who want to add unique visuals without hiring a designer.
⚙️ n8n Builders who want to see how AI + automation + storage can be stitched into one pipeline.
Workflow Highlights
✅ Full content pipeline (ideas → images → final copy).
✅ GPT-based fuzzy dedupe to avoid repetition.
✅ Auto-generated images for higher engagement.
✅ Clean logs in Google Sheets for future reuse & audits.
✅ Ready-to-publish LinkedIn post in minutes.
n8n LinkedIn Content Factory: Auto-Generate Posts with GPT-5, DALL-E & Google Sheets
This n8n workflow automates the creation and management of LinkedIn content. It leverages the power of Google Sheets for content scheduling, OpenAI (GPT-5) for generating post text, and OpenAI (DALL-E) for creating accompanying images. The workflow ensures a consistent content pipeline for your LinkedIn presence.
What it does
This workflow performs the following key steps:
- Schedules Content Generation: Triggers on a predefined schedule (e.g., daily, weekly) to check for new content requests.
- Reads Content Requests from Google Sheets: Fetches data from a specified Google Sheet, likely looking for new rows marked for content generation.
- Generates Post Text with OpenAI (GPT-5): Uses the OpenAI node to generate compelling LinkedIn post text based on prompts or data from the Google Sheet.
- Generates Images with OpenAI (DALL-E): Utilizes the OpenAI node again to create relevant images for the LinkedIn posts, based on descriptions or themes from the generated text or Google Sheet.
- Combines Text and Image Data: Merges the generated text and image information into a single data structure.
- Uploads Images to Google Drive: Stores the generated images in a designated Google Drive folder for archival or further use.
- Updates Google Sheet: Marks the processed rows in the Google Sheet, potentially adding links to the generated image or the post content.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running instance of n8n.
- Google Sheets Account: With a spreadsheet set up to manage content requests (e.g., columns for topic, status, generated text, image URL).
- Google Drive Account: For storing the generated images.
- OpenAI API Key: With access to GPT-5 (for text generation) and DALL-E (for image generation).
- n8n Credentials: Configured for Google Sheets, Google Drive, and OpenAI.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- Set up your Google Sheets credential.
- Set up your Google Drive credential.
- Set up your OpenAI credential with your API key.
- Configure Nodes:
- Schedule Trigger: Adjust the schedule to your desired frequency for checking new content requests.
- Google Sheets (Read):
- Specify the Spreadsheet ID and Sheet Name where your content requests are located.
- Configure the read operation to fetch new or pending content requests.
- OpenAI (GPT-5):
- Configure the "Chat" model (or "Completions" if using an older version) to generate LinkedIn post text.
- Craft effective prompts using data from the Google Sheet (e.g.,
{{ $json.topic }}) to guide the AI.
- OpenAI (DALL-E):
- Configure the "Image" model to generate images.
- Use prompts based on the generated text or original topic to create relevant visuals.
- Google Drive (Upload):
- Specify the Folder ID where the generated images should be saved.
- Map the image data from the OpenAI node to the upload operation.
- Google Sheets (Update):
- Configure this node to update the status of the processed rows in your Google Sheet.
- Add columns for the generated text and the Google Drive image URL.
- Activate the Workflow: Once configured, activate the workflow to start automating your LinkedIn content generation.
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