WayToClawEarn
Beginner30 min readMay 1, 2026

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

Edisen Lu · WayToClawEarnPublished May 1, 2026Updated Sep 28, 2026

Reviewed from public sources · AI-assisted drafting under editorial oversight. How we work

Editorial original

Written by WayToClawEarn editorial; cite this page as the primary analysis.

How we review content

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.

ModuleInputOutputEstimated time
HTTP trigger + content extractionArticle URLPlain text body10 minutes
ChatGPT summary generationArticle textPlatform adaptation summary10 minutes
Multi-platform distributionSummary contentTwitter/LinkedIn/WordPress Published10 minutes

Text example image

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 itemValueDescription
Data StructureSelect "JSON"Receive standard JSON payload
Webhook namecontent-distro-webhookCustomized 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 itemValueDescription
MethodGETGet 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 itemValueDescription
Modelgpt-4o-miniLowest cost, sufficient summary quality
MessagesSee belowPrompt word template
Max Tokens1000Each abstract should be approximately 200-300 words
Temperature0.7Moderately 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):

code
, 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}} twitterChatGPT

Make Twitter (OAuth ,"")。

3.2 LinkedIn

, LinkedIn , "Create a Share (Post)"。

AuthorLinkedIn IDLinkedIn
Text{{3.text}} linkedinChatGPT
VisibilityPUBLIC

3.3 WordPress ()

WordPress , "Create a Post"。

Title{{3.text}} wo rdpress_titleAI
Content{{2.text}}()
Statusdraft,

{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

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Educational reference only: cases summarize public sources and may use AI-assisted drafting under editorial review. Not financial advice; outcomes are not guaranteed.

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