SEO-Automation-Pipeline
🥈SilverAn end-to-end n8n workflow that accepts a target keyword from a custom web interface, retrieves live search data using SerpApi, processes the results using an AI model to extract key SEO metrics, stores the data in Supabase, and returns the analysis to the frontend for display
200Updated 2mo ago
Intermediate30min to implementmarketing
Saves ~90 min per use
Quick InstallView Source
git clone https://github.com/keirara04/SEO-Automation-Pipeline.gitWorks with:
Claude
Overview
About This Skill
The SEO Automation Pipeline is a complete workflow integration that combines SerpApi, OpenAI, n8n, and Supabase to deliver real-time keyword analysis. It accepts any keyword through a web interface, retrieves live Google search results, uses AI to extract search intent, difficulty scores (1-100), and identifies top 3 competitors, then persists all data for future reference. The pipeline automatically classifies whether a keyword targets informational, transactional, or navigational user intent, helping marketers and SEO professionals understand search market dynamics without manual analysis. Results are returned instantly to the frontend with color-coded difficulty visualization and competitor rankings, enabling data-driven keyword strategy decisions.
How to Use
Sign up for free accounts on n8n Cloud, SerpApi, OpenAI, and Supabase. Clone the repository, populate the .env file with API keys, create the seo_reports table in Supabase using the provided SQL, import the n8n workflow, and run the frontend with Python's http.server. Enter any keyword in the web interface to receive instant analysis.
Use Cases
Analyze keyword difficulty and competition before targeting new search terms
Classify user search intent (informational, transactional, navigational) for content strategy
Identify top 3 competitor domains ranking for target keywords
Build historical keyword analysis database for market trend tracking
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/keirara04/SEO-Automation-PipelineRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Create an SEO automation pipeline for [COMPANY] in the [INDUSTRY] sector. The pipeline should accept a target keyword from a custom web interface, retrieve live search data using SerpApi, process the results to extract key SEO metrics like search volume, keyword difficulty, and top-ranking URLs, store the data in Supabase, and return the analysis to the frontend for display. Ensure the pipeline is scalable and can handle multiple keywords simultaneously.
Example Output
## SEO Automation Pipeline Analysis for [COMPANY] in the [INDUSTRY] Sector ### Keyword: [TARGET_KEYWORD] #### Search Volume - **Monthly Searches**: 12,000 - **Trend**: Steady growth over the past 12 months #### Keyword Difficulty - **Difficulty Score**: 65/100 - **Competition Level**: High #### Top Ranking URLs 1. **URL**: https://www.example.com/top-article - **Domain Authority**: 85 - **Page Authority**: 60 2. **URL**: https://www.example.com/related-content - **Domain Authority**: 78 - **Page Authority**: 55 #### Recommendations - **Content Strategy**: Create high-quality, in-depth content targeting [TARGET_KEYWORD]. - **Backlink Strategy**: Build backlinks from authoritative sites in the [INDUSTRY] sector. - **On-Page SEO**: Optimize meta tags, headers, and content for [TARGET_KEYWORD].
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