How to Automate LinkedIn Content Creation: A Step-by-Step Guide with AI

Are you tired of manually creating LinkedIn posts every day? What if you could automate your content creation and focus on other high-value tasks while an AI-powered system takes care of your social media presence? In this article, I’ll show you exactly how to build a LinkedIn Content Creator Workflow using n8n, a no-code automation tool. By the end of this guide, you’ll be able to automate your LinkedIn posts, creating them on-demand based on topics you define.

Let’s dive in and build this workflow together!

Step 1: Set Up the Workflow Trigger

The first step in building any automation workflow is to define the trigger. In this case, we want the workflow to automatically create a LinkedIn post each day.

Using a Scheduled Trigger: For production, you would want the workflow to run on a schedule — perhaps every day at 7:00 AM. This ensures you have a fresh post ready to go at the same time each day.

Manual Trigger: For this tutorial, we’re going to keep it simple by using a manual trigger. But once you’ve set this up, you can easily toggle the workflow to be activated on a schedule.

Once we set the trigger, n8n will begin executing our workflow every time it’s triggered. This sets the stage for the automation process.

Step 2: Connecting Google Sheets for Topic Management

Now, let’s connect a Google Sheets document where you can manage your LinkedIn post topics. For this, you’ll need to create a Google Sheets node in n8n.

Create the Google Sheets Document: The sheet will have three columns: Topic, Status, and Content. The idea is that you’ll enter new topics into the sheet, mark them as "to-do," and the workflow will pull the topic, generate content, and update the status to "created."

Connect Google Sheets to n8n: We’ll need to create a Google Sheets credential in n8n using OAuth2 authentication. Once connected, the workflow will fetch rows from the Google Sheets document.

For this, we’ll select the sheet titled LinkedIn Posts, filter for rows where the status is “to-do”, and pull the first matching row for content creation.

Step 3: Perform a Web Search for Content Generation

Now, we need to gather some relevant data to create high-quality content for LinkedIn. Let’s automate a web search based on the selected topic from Google Sheets.

Use Tavily’s API for Web Search: We’ll use Tavily, a search API, to fetch articles or data related to the chosen topic. Tavily offers a free plan with 1,000 monthly queries, and we can integrate this into n8n.

Setup HTTP Request: Using n8n’s HTTP Request node, we’ll set up an API request to Tavily’s search endpoint. The request will dynamically pull in the topic from the Google Sheets, search the web, and return relevant articles for content generation.

Test the Search: We’ll test the HTTP request to ensure that we receive results. These results will include article links and content summaries that we can later use in the LinkedIn post.

Step 4: Generate the LinkedIn Post with AI

Now that we have the content, it’s time for the AI to create a LinkedIn post from the fetched articles.

Add an AI Agent: We’ll add an AI Agent node, which will take the web search results (from Tavily) and generate a unique LinkedIn post based on the information it retrieves.

Provide System Instructions: The AI needs some guidance on how to write the post. So, we provide a system prompt that instructs the AI to:

Create a LinkedIn post based on the three articles fetched.

Write in a friendly, engaging tone.

Add relevant emojis to make the post more dynamic.

Include hashtags to increase visibility.

Ensure the post reads naturally and is optimized for LinkedIn.

3. AI Generates the Post: After processing the input, the AI will output a LinkedIn-friendly post. For example: “🚀 The AI revolution is here, and it’s transforming how we create stunning visuals! Today’s entrepreneurs are leveraging AI-powered tools to turn their ideas into beautiful works of art. 💡 #AI #TechInnovation #LinkedInPost”

Step 5: Update Google Sheets with Created Content

Once the post is generated, we need to update our Google Sheets document to reflect that the content has been created.

Update Row in Google Sheets: We’ll use the Update Row action in Google Sheets to change the Status from “to-do” to “created”. This will ensure that the same row doesn’t get picked up the next day.

Adding the Post Content: We’ll also add the generated LinkedIn post content to the Content column of the sheet, so you have a clear record of all the posts that have been created.

Step 6: Optional Enhancements and Automation

Multiple Topics: You can scale this workflow to handle multiple topics by adding more rows in the Google Sheets document.

Automating Post Scheduling: If you want to take it a step further, you can integrate with LinkedIn’s API to schedule the posts automatically.

Dynamic Search Criteria: Tweak the search API to return specific types of content (e.g., “News,” “Articles,” or “Research”) based on your needs.

Conclusion: Automating Your LinkedIn Content Creation

Congratulations! You’ve now built a fully automated LinkedIn Content Creation Workflow using n8n, Google Sheets, and AI. By automating this process, you can save valuable time and focus on other aspects of your business while still maintaining a consistent and engaging presence on LinkedIn.

Want to Learn More? Join my AI University Community for more tutorials, tips, and templates to supercharge your AI automation journey. Let’s level up together! 🚀

Now, go ahead and let AI do the heavy lifting while you take your LinkedIn presence to the next level!