In this article, I demonstrate how to set up an automated system using Make.com that generates relevant, fully-formatted news posts ready for editing and publishing on your website. This automation will save you time and effort in curating content for your audience.
I go through the entire process in the video below:
System Overview
The automation process consists of several key steps:
- Website List Creation: Identify and list websites that publish content relevant to your audience.
- RSS Feed Generation: Use an RSS platform to create feeds from the selected websites.
- Content Processing: Utilize Make.com to process articles, filter out irrelevant content, and generate draft articles using GPT-4.
- Image Generation: Automatically create images using DALL-E 3 to accompany your articles.
- WordPress Integration: Publish draft articles to WordPress for further editing and final publishing.
Website List Creation
The first step is to create a list of websites that publish content relevant to your target audience. In the video, I demonstrate this process using home security brands as an example. It’s important to find the exact pages where the relevant content is published, not just the homepage of the websites.
RSS Feed Generation
To convert the listed websites into RSS feeds, I use a platform called RSS.app. This tool allows you to easily create RSS feeds from any website without coding. The process involves:
- Creating an account on RSS.app
- Using the “New Feed” feature to generate feeds
- Verifying the generated feed against the original URL
- Creating a bundle of all the feeds for use in the automation
Automating Content Processing with Make.com
The heart of the automation process lies in Make.com. Here’s a breakdown of the key modules used:
1. RSS Module
This module watches the RSS feed bundle for new items.
2. Web Scraping
I use a web scraping tool (Scrape.do in this case) to fetch the full text of each news item.
3. AI Filtering Mechanism
An OpenAI GPT-4 module is used to filter out irrelevant articles. It rates the relevance of each article on a scale of 0-10.
4. Article Generation
Another GPT-4 module is used to generate the actual article content, formatting it in HTML.
5. Image Generation
DALL-E 3 is used to generate an image based on the article topic.
WordPress Integration
The final step involves publishing the generated content to WordPress:
- Create a media item for the generated image
- Create a new post with the generated content
- Set the post status to “draft” for review before publishing
While the system generates high-quality drafts, it’s important to note that human oversight is still necessary. Editors should review the content, fact-check information, and potentially source better imagery before publishing.
Conclusion
This automated news article creation system can significantly speed up your content production process. It’s particularly useful for industries with a constant stream of new products or features, such as consumer electronics or travel blogs. While it doesn’t replace the essential role of journalists or editors, it provides a solid foundation for creating timely and relevant content for your audience.
If you’re interested in implementing this system, you can access the Make.com blueprints and templates through our community. Check the video description for more details on how to get started with this powerful automation tool.
