Skip to main content

LinkedIn content factory: Auto-generate posts with GPT-5, DALL·E & Google Sheets

Workflow preview

Workflow preview
100%
LinkedIn content factory: Auto-generate posts with GPT-5, DALL·E & Google Sheets preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 dedupli...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.merge, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote, n8n-nodes-base.googledrive

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Nishant.

Original n8n.io source

1.1 Workflow description

Title
LinkedIn content factory: Auto-generate posts with GPT-5, DALL·E & Google Sheets
Workflow name
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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - 01_AutoStart

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 2 - 02_BuildBrief

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 3 - 03_GenerateIdea

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 4 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 5 - 05_PickIdeaAI

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 6 - 05b_MergeBriefAndPick

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 7 - 06_GeneratePost

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 8 - 05a_ParsePickedIdea

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 9 - 04_ExtractIdeasList

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 10 - 05_ExactDedupeCheck

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 11 - 02_ReadPastIdeas

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 12 - 03_NormalizePastIdeas

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 13 - 04.5_MergeIdeasPastIdeas

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 14 - 06_FuzzyDeduplication

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 15 - 10_ExtractPublishPack

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 16 - Merge1

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 17 - Merge2

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 18 - 11_ParsePublishPack

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 19 - 12_SpecificityPass

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 20 - Merge3

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 21 - 13_VoiceConformity

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 22 - 12a_ParseSpecificityJSON

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 23 - 13a_ParseVoiceJSON

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 24 - 14_BuildCTAHashtags_LLM

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Showing the first 24 of 39 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow LinkedIn content factory: Auto-generate posts with GPT-5, DALL·E & Google Sheets
Complexity advanced
Nodes 39
Categories Content Creation, Multimodal AI
Author Nishant
Published 18 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7549/7549.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does LinkedIn content factory: Auto-generate posts with GPT-5, DALL·E & Google Sheets do?

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 dedupli...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.