How to build an automated content distribution workflow with Make.com + ChatGPT: From article to multi-platform publishing in 30 minutes
A complete tutorial on automatic distribution of AI content from scratch, you can get started even with zero code base
Tutorial Objectives
In 30 minutes, use Make.com to connect to ChatGPT and build an automated pipeline from "one article" to "automatic publishing on multiple platforms". This article is a complete step-by-step tutorial, which can be used even with zero coding knowledge.
What will you build?
- ChatGPT summary generation module: automatically refine long articles into social media summaries
- Multi-platform distribution pipeline: automatically publish to Twitter/X, LinkedIn and WordPress
- Error Handling and Notification: Automatically notify you when publishing fails
Preparation list
- Make.com account (free version available, includes 1000 operations/month)
- ChatGPT / OpenAI API Key (obtained from platform.openai.com)
- API access to at least one target platform (you can choose any one of Twitter/X, LinkedIn, and WordPress to get started)
Overall architecture
The entire workflow is broken down into 3 core modules, which can be configured in order. After everything is completed, you only need to paste the URL of an article, and the system will automatically complete the entire process from abstract generation to multi-platform publishing.
| Module | Input | Output | Estimated time |
|---|---|---|---|
| HTTP trigger + content extraction | Article URL | Plain text body | 10 minutes |
| ChatGPT summary generation | Article text | Platform adaptation summary | 10 minutes |
| Multi-platform distribution | Summary content | Twitter/LinkedIn/WordPress Published | 10 minutes |
Step 1: Create Make.com scene and configure HTTP triggering
After logging in to Make.com, click "Create a new scenario" in the upper right corner.
1.1 Add Webhook trigger
Search for Webhooks in the module selector and select "Custom Webhook" as the trigger module. Click "Add" to create a new webhook:
| Configuration item | Value | Description |
|---|---|---|
| Data Structure | Select "JSON" | Receive standard JSON payload |
| Webhook name | content-distro-webhook | Customized name for easy identification |
Once created, Make will give you a webhook URL (similar to https://hook.eu1.make.com/xxxxx). Save it - you can then just send a POST request (with {"url": "..."}) to this URL to trigger the entire workflow.
Tip: During the testing phase, you can use Postman or curl to send a test request to verify whether the webhook is working properly.
1.2 Add HTTP content extraction module
Click the + number on the right side of the Webhook, search for the HTTP module, and select "Make an HTTP request".
| Configuration item | Value | Description |
|---|---|---|
| Method | GET | Get article source code |
| URL | {{1.url}} | Refers to the URL passed by the webhook |
| Parse Response | `` | Get original HTML |
| Follow Redirects | `` | Automatically follow 301/302 jump |
This module will download the original HTML of the article. In subsequent steps, we will use ChatGPT to extract the text content and generate a summary.
Step 2: Connect to ChatGPT to generate multi-platform summaries
This is the core link of the entire workflow – using AI to replace manual social media copywriting.
2.1 Add OpenAI module
Click the + number on the right side of the HTTP module, search for OpenAI, and select "Create a Completion" (GPT-4o or GPT-4o-mini).It is recommended to use {Tool: ChatGPT/OpenAI} to complete this step, its API call cost is extremely low - it takes about 30 seconds to process an article and costs less than $0.01.
The configuration is as follows:
| Configuration item | Value | Description |
|---|---|---|
| Model | gpt-4o-mini | Lowest cost, sufficient summary quality |
| Messages | See below | Prompt word template |
| Max Tokens | 1000 | Each abstract should be approximately 200-300 words |
| Temperature | 0.7 | Moderately creative |
2.2 Prompt word template
In the User role of Messages, fill in the following prompt words (use {{2.text}} to quote the HTML content of the previous step):
, 3
1. Twitter (≤280 , 2-3 )
2. LinkedIn (200-300 ,,)
3. WordPress + ( RSS ,50 )
{{2.text}}
JSON
{
"twitter": "...",
"linkedin": "...",
"wordpress_title": "...",
"wordpress_excerpt": "..."
}SEO+GEOChatGPT ,, SEO 。
,OpenAI JSON,。
3
ChatGPT 。
3.1 Twitter/X
OpenAI +, Twitter, "Create a Tweet"。
| Text | {{3.text}} twitter | ChatGPT |
Make Twitter (OAuth ,"")。
3.2 LinkedIn
, LinkedIn , "Create a Share (Post)"。
| Author | LinkedIn ID | |
| Text | {{3.text}} linkedin | ChatGPT |
| Visibility | PUBLIC |
3.3 WordPress ()
WordPress , "Create a Post"。
| Title | {{3.text}} wo rdpress_title | AI |
| Content | {{2.text}} | () |
| Status | draft | , |
{Tool: n8n Cloud} ——n8n 。
(FAQ)
Q1OpenAI API ?
Temperature 0.5, Max Tokens 500。。 API Key ——。
Q2Twitter "duplicate content"?
Twitter 24 。 "{{date}}" URL Hash ,。
Q3Make.com ?
1000 。 5 ( 3-5 ), 60-70 。,Make.com Pro ($9/) 10000 ,。
SEO+GEOFAQ GEO ,
()
, tools hover-cardChatGPT、OpenAI、Make.com、n8n、OpenClaw、Claude
Reference video/material
Internal link guidance
- Someone has successfully practiced it: Indie Developer: n8n + OpenClaw Automation Workflow Earning $5,000/mo
- Recommended tools: Make.com · n8n Cloud · OpenClaw
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