This article provides a complete, practical walkthrough of the Splitout Code Automate 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:  
   Automated SEO Keyword Research Using AI and n8n: A Complete Workflow Breakdown
   
   Meta Description:  
   Discover how an AI-powered n8n workflow streamlines SEO keyword research—from topic expansion to competitor analysis and content brief creation. Perfect for marketers and SEO strategists.
   
   Keywords:  
   SEO automation, n8n workflow, AI SEO, keyword research, OpenAI, DataForSEO, content strategy, automation tools, SEO workflow automation, competitor keyword analysis
   
   Article:
   
   In the ever-evolving world of digital marketing, Search Engine Optimization (SEO) remains a cornerstone for organic growth. Yet, executing thorough keyword research, competitive analysis, and drafting a comprehensive content brief can be time-consuming and prone to inconsistency. Enter the “AI-powered SEO Keyword Research Automation – The Vibe Marketer,” an innovative n8n workflow designed to make this process not just faster, but smarter.
   
   Let’s break down how this advanced automation intelligently combines AI, APIs, and workflow logic to deliver high-impact SEO insights—ready for immediate use by marketers, content creators, and SEO professionals.
   
   The Challenge: Manual SEO Research is a Bottleneck
   
   Traditional keyword research involves several stages:
   
   - Identifying primary and secondary keywords
   - Analyzing long-tail opportunities
   - Performing competitor audits
   - Gathering key metrics like Search Volume (SV), Cost-Per-Click (CPC), and Keyword Difficulty (KD)
   - Structuring content strategy and briefs
   
   Combining all these elements manually across various platforms is not only redundant but can also delay timely content delivery. This workflow fully automates the SEO pipeline with intelligence and precision.
   
   What This Workflow Does
   
   The automation revolves around five critical functions:
   
   1. Accepts user input via webhook from NocoDB, including:
      - Primary topic
      - Target audience
      - Content type
      - Competitor URLs
      - Language and location
   
   2. Topic Expansion Using AI
      Leveraging OpenAI’s Chat model integrated via Langchain nodes in n8n, the workflow generates:
      - 20 primary keyword ideas
      - 30 long-tail keyword variations categorized by search intent (informational, commercial, transactional)
      - 15 frequently asked questions (FAQs)
      - 10 supporting content topics
   
      Output is parsed into structured JSON using n8n’s Structured Output Parser.
   
   3. Keyword Metrics Retrieval
      Utilizing the DataForSEO API, the system enriches keyword suggestions by fetching:
      - Monthly search volume (SV)
      - Cost-per-click (CPC)
      - Keyword difficulty (KD)
   
      Search volume and CPC are aggregated using "Aggregate SV & CPC," and keyword difficulties go through "Aggregate KWD" nodes. Everything merges into a unified dataset with "Merge SV, CPC & KWD" and "Merge Topic Expansion, SV, CPC & KWD." This allows for insight-driven selection of SEO terms.
   
   4. Competitor Keyword & Content Gap Analysis
      The script processes competitor URLs by:
      - Splitting URLs
      - Fetching their ranked keywords via DataForSEO’s "get-ranked-keywords" API
      - Analyzing these URLs with OpenAI through n8n’s AI Agent node
   
      The analysis identifies their target keywords, content gaps, missed user intents, and differentiating strategies. All competitor insights are aggregated for later synthesis.
   
   5. Create a Final Keyword Strategy & Content Brief
      A second AI Agent node (using OpenAI) crafts a complete SEO strategy in clean Markdown that includes:
      - Executive summary
      - Target and secondary keywords
      - Content gaps and opportunities
      - Suggested content structure
      - Recommended SEO-optimized titles
   
      This brief is stored in NocoDB and update statuses are tracked to move the task from "Started" to "Done." Slack notifications are dispatched for user visibility.
   
   Why This Matters: The Strategic Edge
   
   What sets this workflow apart is its seamless integration of AI for both generation and analysis. Instead of limiting AI to keyword suggestions, it enhances decision-making with data context (SV, CPC, KD) and competitor intelligence—something even advanced marketers spend hours compiling.
   
   It also solves a major pain point: translating keyword research into actionable content strategies. With structured output, the content brief is no longer just a brainstorm document; it's a blueprint for performance content.
   
   Automation Built with n8n & Trusted APIs
   
   This workflow maximizes extensibility using open-source automation tool n8n and a suite of reliable third-party APIs:
   
   Third-Party APIs Used:
   
   1. OpenAI (via Langchain)
      - Provides generative AI capabilities for keyword generation, competitor analysis, and brief writing.
   
   2. DataForSEO
      - Supplies keyword metrics including search volume, CPC, and difficulty.
      - Extracts competitor keyword ranking data.
   
   3. Slack
      - Notifies teams when workflows begin and complete (e.g., Start/Done statuses).
   
   4. NocoDB
      - Acts as the database layer to store input parameters and resulting content briefs.
   
   Conclusion: SEO Strategy Reimagined
   
   In the race toward smarter SEO, “The Vibe Marketer” workflow is a game-changing ally. By harnessing the power of AI alongside real-time data APIs and intuitive task automation via n8n, this setup slashes research time while improving strategic outcomes.
   
   Marketers now have access to an always-on assistant that not only tells you what to write about but also explains why, how, and where to gain a competitive edge.
   
   Whether you’re in-house, agency-side, or running your own content empire, this workflow serves as your AI SEO analyst—automated, accurate, and always on time.
   
   —  
   Ready to implement your own automated keyword research system? Start with n8n and customize from this template to match your content goals.

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.