SEO Keyword Research AI Agent

🚀 Features

• 🔍 Keyword Discovery – Finds related keywords for any seed keyword.
• 📊 Keyword Analysis – Scores keywords based on search volume, competition, and SERP signals.
• 📂 Data Export – Saves results to CSV/Excel with metadata.
• 📈 Interactive Dashboard – Streamlit + Plotly for keyword trends, competition heatmaps, and intent analysis.
• 🤖 AI Agent Workflow – Automates tasks like keyword research → processing → reporting.
• 🔗 n8n Integration – Trigger workflows via webhooks (e.g., run keyword research and auto-send results to Slack/Email).
• 🌐 Deployment – Hosted on Render for API and dashboard access.

🏗️ Project Structure

seo-keyword-ai-agent/

⚙️ Installation

⚙️ Installation

1. Clone the repo
   bash

   1git clone https://github.com/omraghu07/seo-keyword-ai-agent.git 2cd seo-keyword-ai-agent 3
2. Create a virtual environment
   bash

   1python -m venv agent_venv 2 3# Mac/Linux 4source agent_venv/bin/activate 5 6# Windows 7agent_venv\Scripts\activate
3. Install dependencies
   pip install -r requirements.txt
4. Setup .env file Create a .env file in the root directory and add your API key:
   SERPAPI_KEY=your_serpapi_key_here

▶️ Usage

Run the full pipeline

Launch the dashboard

Run as an API (Render/FastAPI)

🔗 n8n Integration

• Create an n8n workflow with a Webhook node.
• Connect it to Render API:

• Add email/Slack nodes to auto-send reports.

📊 Example Output

Top 5 Keyword Opportunities:

🛠️ Tech Stack

• Python (Core language)
• SerpAPI (Google search results API)
• Pandas, Requests, Tabulate (Data processing)
• Streamlit + Plotly (Dashboard & charts)
• FastAPI + Gunicorn (API server)
• Render (Deployment)
• n8n (Workflow automation)

👨‍💻 Author

🔗 Links