This article provides a complete, practical walkthrough of the Splitout Code Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   How to Auto-Tag WordPress Blog Posts Using AI and n8n: A Step-by-Step Automation Guide
   
   Meta Description:  
   Learn how to automatically tag your WordPress blog posts using OpenAI and n8n. This no-code automation workflow processes RSS feeds, generates smart tags with AI, and updates your WordPress site, putting your content categorization on autopilot.
   
   Keywords:  
   WordPress automation, n8n workflow, AI content tagging, OpenAI, WordPress API, RSS automation, blogging workflow, intelligent tagging, no-code automation, SEO optimization
   
   Third-Party APIs Used:
   
   - OpenAI API – for AI-powered tag generation using GPT language models.
   - WordPress REST API – to fetch, create, and update tags on WordPress posts.
   
   ---
   
   Article:
   
   Auto-Tagging WordPress Blog Posts with AI-Powered Workflows in n8n
   
   In the ever-evolving digital landscape, content creation isn't just about publishing articles—it’s about optimizing them for discoverability, SEO, and enhanced user engagement. Tagging plays an essential role in this, helping readers and search engines navigate your site efficiently. But keeping up with consistent, relevant, and properly formatted tags is time-consuming.
   
   That’s where automation comes in.
   
   In this article, we’ll walk you through a robust no-code solution using n8n, OpenAI, and WordPress’s REST API to intelligently auto-tag your blog posts—completely hands-free.
   
   Let’s break down how the "Auto-Tag Blog Posts in WordPress with AI" workflow works and how you can put your content categorization on autopilot.
   
   —
   
   📌 The Problem: Manual Tagging is Tedious
   
   For content marketers, SEO managers, and bloggers, tagging blog posts manually can lead to human error, missed keywords, and inefficiencies. Without consistent tagging, your content becomes harder to find, less organized, and SEO-weak.
   
   By automating this step using AI, you can ensure your tags are relevant, up-to-date, and seamlessly integrated into your publishing workflow.
   
   —
   
   🚀 The Solution: n8n + OpenAI + WordPress
   
   This workflow leverages n8n, a powerful open-source automation tool, to process blog post content and interface with OpenAI for generating high-quality tags. Then, these tags are cross-checked against your WordPress site and added or created accordingly. Finally, the post is published or updated, all automatically.
   
   The components are as follows:
   
   1. RSS Feed Trigger  
      Initiates the workflow by monitoring a specific RSS feed. Every time a new blog post is published (or discovered), the workflow is triggered.
   
   2. OpenAI-Powered Tag Generation  
      The post content is passed to OpenAI via the ChatGPT model. The AI is prompted to generate ~3–5 relevant tags in Title Case, adhering to your format preferences.
   
   3. Output Parsing & Formatting  
      Structured and auto-fixing parsers clean and validate AI-generated tags. They're converted into both display-friendly Title Case and slug-friendly dash-case as needed.
   
   4. WordPress Tag Management  
      The workflow then compares tags generated by AI with existing ones in your WordPress site using the WP REST API.  
      - Tags not yet present are created.  
      - Existing tags are matched based on slug (dash-case version).  
      - All tags are translated into their unique WordPress tag IDs.
   
   5. Publishing the Tagged Article  
      The workflow completes by creating or updating the blog post in WordPress via its API, including:
      - Title  
      - Content (with optional rewritten sections)  
      - Correctly associate tag IDs
   
   —
   
   🧠 Key Benefits
   
   ✓ No Manual Data Entry  
   Let AI do the heavy lifting—no need to manually brainstorm or enter tags.
   
   ✓ SEO and IA Optimization  
   Smart tags improve site architecture and search engine visibility.
   
   ✓ Use-Case Agnostic  
   Whether your blog is about tech, travel, health, or business, OpenAI generates contextual tags based on your content.
   
   ✓ Scalable and Customizable  
   Easily plug this into other workflows. Add content rewriting, image enrichment, category classification, and more.
   
   ✓ Fully Automated  
   Monitor your RSS, generate tags, manage WordPress taxonomies, and update your CMS—all without human intervention.
   
   —
   
   💡 Tips for Execution
   
   - Slug Format Consistency: The workflow normalizes tags by converting them to dash-case slugs. If your site's tag format differs—e.g., camelCase or snake_case—you’ll need to adjust the formatting logic in a few nodes.
     
   - Tag Limits & Quality: You can tweak the AI prompt to produce more tags, control the tone, or even inject keywords for marketing purposes.
   
   - Categories vs Tags: Currently designed for tags, this workflow can be extended to handle categories. Doing so would require adjustments to endpoint calls and data structures.
   
   - RSS Source: This demo uses a set RSS feed, but you can adapt the trigger to scrape internal drafts or external content sources.
   
   —
   
   🎯 Real-World Applications
   
   - News Aggregators: Automatically tag syndicated posts.
   - Company Blogs: Align blog content with product themes and updates.
   - Niche Sites: Maintain a healthy taxonomy for hundreds of long-tail topics.
   - Personal Blogs: Let AI handle categorization while you focus on writing.
   
   —
   
   👨‍💻 About the Maker
   
   This workflow was created by Ludwig Gerdes, whose innovative no-code and AI solutions are at the forefront of marketing automation. [Connect with Ludwig on LinkedIn](https://www.linkedin.com/in/ludwiggerdes) for more insights and collaboration opportunities.
   
   —
   
   Ready to Put Your Content Tagging on Autopilot?
   
   With this n8n workflow, you no longer need to choose between publishing velocity and content structure. AI ensures consistency, taxonomy hygiene, and strategic tagging—at scale.
   
   Copy the workflow, connect your WordPress and OpenAI accounts, and you’re off to the races. Your content team will thank you. ✅

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.