This workflow automates the process of tagging WordPress blog posts using AI to generate relevant tags based on article content. It reads an RSS feed, analyzes each article with OpenAI’s language model, and interacts with the WordPress API to create missing tags and assign relevant tags to posts, streamlining content categorization and SEO optimization. The workflow is ideal for bloggers, content marketers, or website managers seeking to maintain strong content taxonomy without manual effort. It demonstrates how AI integration can enhance automated content management on WordPress sites.
AI-Powered Automatic Tagging for WordPress Posts
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, executeWorkflow, executeWorkflowTrigger, filter, httpRequest, if, rssFeedReadTrigger, set, splitInBatches, splitOut, stickyNote, wordpress |
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