This article provides a complete, practical walkthrough of the Aggregate Stickynote 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 Keyword Research with n8n: A No-Code Workflow Using Ahrefs and Google Gemini AI
   
   Meta Description:  
   Discover how to automate SEO keyword research using a no-code workflow in n8n that integrates Ahrefs API and Google Gemini AI. Extract, clean, and format keyword data with precision—all without writing a single script.
   
   Keywords:  
   n8n keyword research, Ahrefs API, Google Gemini AI, no-code SEO automation, AI keyword extraction, SEO automation workflow, n8n workflow examples, LangChain agents, RapidAPI Ahrefs, keyword formatting automation
   
   Third-Party APIs Used:
   
   - Ahrefs Keyword Tool API (via RapidAPI)
   - Google Gemini AI (LangChain node using Google PaLM API)
   
   Article:
   
   🚀 Revolutionizing SEO: Automating Keyword Research with n8n, Ahrefs, and Google Gemini AI
   
   In the world of SEO, keyword research has always been a tedious but necessary task. Tools like Ahrefs simplify the data acquisition process, but there’s still the matter of interpreting, formatting, and leveraging keyword data effectively. What if you could completely automate the entire process using a no-code tool? Enter n8n and this intelligent, plug-and-play keyword workflow.
   
   In this article, we’ll explore a fully automated keyword research workflow designed in n8n that integrates the Ahrefs Keyword Tool API, Google’s Gemini AI via LangChain nodes, and custom logic to deliver SEO insights in real time.
   
   🧠 What Does This Workflow Do?
   
   This n8n workflow acts like a smart SEO assistant: it listens for user messages (via a chatbot or trigger), extracts the main keyword from the message using AI, fetches relevant keyword data from the Ahrefs engine, formats the result for human readability, and returns the finished report in seconds.
   
   Let’s break down how this works and why it’s powerful.
   
   🧩 Workflow Components
   
   This setup elegantly combines multiple technologies. Here’s how each major component contributes:
   
   1. 𝗧𝗿𝗶𝗴𝗴𝗲𝗿: When Chat Message is Received  
   The workflow begins when a user sends a message (e.g., “I want to rank for handmade leather wallets”). This trigger can be adapted for various delivery platforms including Telegram, WhatsApp, or webhooks.
   
   2. 🧠 Keyword Extraction with AI  
   The first AI agent, powered by Google Gemini via LangChain, acts as a cleaning and extraction module. Its role is to:
      - Identify the core keyword or phrase.
      - Correct spelling or grammar if necessary.
      - Return the clean keyword only — no additional commentary.
   
   This step ensures that the API downstream only receives precise, relevant input, maximizing the quality of the data.
   
   3. 🔍 Keyword Data Retrieval via Ahrefs API  
   With the sanitized keyword in hand, n8n makes an HTTP request to the Ahrefs Keyword Tool API hosted on RapidAPI. The query returns rich SEO metrics, such as:
      - Average monthly searches
      - Competition index and value
      - High and low CPC (Cost Per Click) estimates
      - Related keyword suggestions
   
   This third-party integration allows you to pull robust keyword data without leaving your automation environment.
   
   4. 🧪 Data Extraction with JavaScript  
   Because the API response is extensive, a custom JavaScript function trims the fat. It selects:
      - 1 main keyword (your original query)
      - Up to 10 related keywords
      - Essential fields (search volume, competition, CPC, etc.)
   
   This reduces bulk and focuses on what matters for quick SEO decision-making.
   
   5. 🗃️ Aggregation Node  
   Before formatting the response, the selected keyword data is aggregated into a unified payload to make it easier to process.
   
   6. ✍️ Intelligent Response Formatter  
   Another LangChain agent steps in here, using a structured system message to:
      - Format the output into clean, human-readable content 
      - Label the “Main Keyword” distinctly
      - List each related keyword with its metrics, bullet-style
   
   The result is a polished summary that’s both informative and presentation-ready for marketers or decision-makers.
   
   📘 Why This Workflow is a Game-Changer
   
   Here’s why this n8n setup is a blueprint worth cloning:
   
   ✅ Fully No-Code:  
   All steps are modular and don’t require you to be a developer. Just plug in your credentials, tweak the system prompts, and deploy.
   
   ✅ AI-Powered Intelligence:  
   By leveraging Google Gemini via LangChain, the workflow doesn’t just automate—it interprets and improves the input/output.
   
   ✅ Scalable and Adaptable:  
   From Telegram bots to internal dashboards, this setup can interface with multiple platforms.
   
   ✅ Easily Extendable:  
   Want CPC trends over time? Just modify the API endpoint. Need visual charts? Add a PDF generation node or connect it to Google Sheets.
   
   🎯 Integration Summary
   
   Here are the key integrations used in the flow:
   
   🔌 Ahrefs Keyword Tool API (via RapidAPI)  
   Fetches global keyword data, including related keyword suggestions and SEO metrics.
   
   🤖 Google Gemini AI (via LangChain in n8n)  
   Used in two nodes:
      - To extract and correct the keyword phrase from user input.
      - To format the final keyword report professionally.
   
   📈 Final Output Example
   
   Here’s what a typical, formatted output might look like:
   
   **🔑 Main Keyword Data✨**  
   - Keyword: handmade leather wallets  
   - Avg Monthly Searches: 8,000  
   - Competition Index: 0.72  
   - Competition Value: Medium  
   - High CPC: $3.45  
   - Low CPC: $1.25  
   
   **🔗 Related Keywords🧰**  
   1. Keyword: leather wallets for men  
      - Avg Monthly Searches: 12,000  
      - …  
   10. Keyword: eco-friendly leather wallets  
      - Avg Monthly Searches: 1,100  
      - …
   
   📌 Conclusion
   
   This n8n-based SEO workflow transforms keyword research into a fully automated operation. By combining the keyword insights of Ahrefs with the cognitive power of Google Gemini AI and the flexibility of n8n, you’re not just saving time—you’re building smarter, faster, and more strategic SEO campaigns.
   
   Whether you're an agency owner, a solo marketer, or a startup founder, this setup can free up hours of research time and raise the quality of your SEO insights.
   
   Try it. Tweak it. Scale it.
   
   Welcome to the future of SEO automation.
   
   —  
   Need help making this workflow your own? Stay tuned for a full documentation guide and tutorial series. 🚀

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.