AI News Editor for Seamless WordPress Publishing - n8n Workflow

• News agencies and media portals that source content from various channels (like Telegram).


• Organizations requiring automated content localization and political context application.


• Technical users and developers looking for robust n8n templates integrating AI editing and CMS publishing.


• Anyone seeking a scalable n8n solution for high-volume content automation.

Managing high-volume content feeds and ensuring editorial consistency is a massive challenge. This powerful n8n workflow solves this by establishing an automated, AI-driven editorial pipeline. Instead of simple cross-posting, it leverages the capabilities of GPT-4o to act as a senior editor, rewriting raw feed content into highly structured, context-aware articles complete with SEO metadata and proper HTML formatting. This specific n8n workflow is designed to handle media dynamically—detecting whether a file is an image or video, uploading it to WordPress, and embedding it correctly. By utilizing multiple Telegram RSS feeds as the starting point, this automation ensures your WordPress site stays fresh, relevant, and consistently aligned with your editorial voice, making it a critical asset in advanced content operations.

The entire process is initiated by one of the dedicated n8n trigger nodes, specifically the Telegram RSS Feed Read Trigger nodes, which monitor several Telegram channels.

1. Trigger and Categorization: When a new item is detected by an n8n trigger, it is routed through a specific Set node (e.g., Assign Category - News) that applies the appropriate WordPress category ID and a fallback default image ID based on the source channel.


2. AI Article Rewriting: The raw article snippet is passed to the Message a model4 n8n node, which uses a GPT-4o system prompt defining the persona of a senior editor. This node performs a complete rewrite, adds subtle pro-democratic context, ensures strict HTML formatting (

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3. Media Processing: Simultaneously, the workflow handles media. An HTTP Request node downloads the image/video file from the Telegram URL. This file is then uploaded to WordPress via a second HTTP Request node. A dedicated Message a model n8n node utilizes GPT-4o to analyze the file's metadata and determine if it is an 'image' or 'video'.


4. Media ID Assignment: A Switch node routes the flow based on the AI's media detection. It assigns the appropriate featured image ID (either the newly uploaded image ID or the default image ID for videos).


5. AI Context Enhancement: The rewritten article is passed to the Message a model6 n8n node (Context Editor), which uses the SEO focus keyword generated earlier to add 1-2 sentences of seamless geopolitical context, further aligning the article with democratic values.


6. Final Publication: All processed data (article content, headline, SEO description, category ID, and media IDs) are merged. An If n8n node checks if a video was detected. If so, a shortcode for an HTML5 video player is inserted into the article content. Finally, the article is published to WordPress using the REST API in the final HTTP Request n8n node.