🚀 AI-Powered LinkedIn Post Automation

🧩 How It Works

This workflow automatically generates LinkedIn posts based on a user-submitted topic, including both content creation and image generation , then publishes the post to LinkedIn. Ideal for marketers, content creators, or businesses looking to streamline their social media activity, without the need for manual post creation.

High-Level Workflow:

1. Trigger : The workflow is triggered when a user submits a form with a topic for the LinkedIn post.
2. Data Mapping : The topic is mapped and prepared for the AI model.
3. AI Content Generation : Calls the Google Gemini AI model to generate engaging post content and a visual image prompt.
4. Image Creation : Sends the image prompt to the external API, gen-imager , to generate a professional image matching the topic.
5. Post Creation : Publishes the text and image to LinkedIn, automatically updating the user's feed.

⚙️ Set Up Steps (Quick Overview)

🕐 Estimated Setup Time : ~10–20 minutes

1. Connect Google Gemini : Set up your Google Gemini API credentials to interact with the AI model for content creation.
2. Set Up External Image API : Configure the external image generation API (gen-imager API) for visual creation based on the post prompt.
3. Connect LinkedIn : Set up OAuth2 credentials to authenticate your LinkedIn account and allow publishing posts.
4. Form Submission Setup : Create a simple web form for users to submit the topic for LinkedIn posts.
5. Activate the Workflow : Once everything is connected, activate the workflow. It will trigger automatically upon receiving form submissions.

💡 Important Notes :

• The flow uses Google Gemini (PaLM) for generating content based on the user's topic.
• Text to Image : The image generation process involves creating a professional, LinkedIn-appropriate image based on the post’s topic using the gen-imager API.
• You can customize the visual elements of the posts and adjust the tone of the generated content based on preferences.

🛠 Detailed Node Breakdown:

1. On Form Submission

   • Trigger : Captures the user-submitted topic and initializes the workflow.
   • Action : Start the process by gathering the topic information.

2. Mapper (Field Mapping)

   • Action : Maps the captured topic to a variable that is passed along for content generation.

3. AI Agent (Content Generation)

   • Action : Calls Google Gemini to generate professional LinkedIn post content and an image prompt based on the submitted topic.
   • Key : Outputs content in a structured form — post text and image prompt.

4. Google Gemini Chat Model

   • Action : AI model that generates actionable insights, engaging copy, and an image prompt for LinkedIn post.

5. Normalizer (Data Cleanup)

   • Action : Cleans the output from the AI model to ensure the content and image prompt are correctly formatted for use in the next steps.

6. Text to Image (Image Generation)

   • Action : Sends the image prompt to the gen-imager API , which returns a custom image based on the post's topic.

7. Decoder (Base64 Decoding)

   • Action : Decodes the image from base64 format for easier uploading to LinkedIn.

8. LinkedIn (Post Creation)

   • Action : Publishes the generated text and image to LinkedIn, automatically creating a polished post for the user’s feed.

⏱ Execution Time Breakdown:

• Total Estimated Execution Time : ~15–40 seconds per workflow run.
  • On Form Submission : Instant (Trigger)
  • Mapper (Field Mapping) : ~1–2 seconds
  • AI Content Generation : ~5–10 seconds (depending on server load)
  • Text to Image : ~5–15 seconds (depends on external API)
  • LinkedIn Post Creation : ~2–5 seconds

🚀 Ready to Get Started?

Let’s get you started with automating your LinkedIn posts!
Create your free n8n account and set up the workflow using this link.

📝 Notes & Customizations

• Form Fields : Customize the form to gather more specific information for the LinkedIn posts (like audience targeting, post category, etc.).
• Image API Customization : Adjust the image generation prompt to fit your brand’s style, or change the color palette as needed.
• Content Tone : The tone can be adjusted by modifying the system message sent to Google Gemini for content generation.