🎬 Auto-generate WordPress blog tags with GPT-4.1-mini and smart tag mapping
⚡ 248 views · 🎬 Content Creation & Video
Description
Overview
This n8n template demonstrates how to use AI to automatically analyze WordPress blog content and generate relevant, SEO-optimized tags for WordPress posts.
Use cases
Automate content tagging for WordPress blogs, maintain consistent taxonomy across large content libraries, save hours of manual tagging work, or improve SEO by ensuring every post has relevant, searchable tags!
Good to know
- The workflow creates new tags automatically if they don’t exist in WordPress.
- Tag generation is intelligent - it avoids duplicates by mapping to existing tag IDs.
How it works
- We fetch a WordPress blog post using the WordPress node with sticky data enabled for testing.
- The post content is sent to GPT-4.1-mini which analyzes it and generates 5-10 relevant tags using a structured output parser.
- All existing WordPress tags are fetched via HTTP Request to check for matches.
- A smart loop processes each AI-generated tag:
- If the tag already exists, it maps to the existing tag ID
- If it’s new, it creates the tag via WordPress API
- All tag IDs are aggregated and the WordPress post is updated with the complete tag list.
How to use
- The manual trigger node is used as an example but feel free to replace this with other triggers such as webhook, schedule, or WordPress webhook for new posts.
- Modify the “Fetch One WordPress Blog” node to fetch multiple posts or integrate with your publishing workflow.
Requirements
- WordPress site with REST API enabled
- OpenAI API
Customising this workflow
- Adjust the AI prompt to generate tags specific to your industry or SEO strategy
- Change the tag count (currently 5-10) based on your needs
- Add filtering logic to only tag posts in specific categories
🔗 Nodes Used
HTTP Request, Wordpress, Basic LLM Chain, OpenAI Chat Model, Structured Output Parser
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File