Getting Started with Rampify
Welcome to Rampify, the first SEO intelligence layer for AI coding tools. Rampify brings real-time SEO context directly into your editor through the Model Context Protocol (MCP). Instead of context-switching between your code and SEO tools, you get actionable insights right where you work. This documentation will help you get started and make the most of Rampify's features.
The Rampify Toolkit
- Dashboard - Strategic and visual analytics overview for all your sites
- MCP Server - Real-time SEO intelligence in your editor (Cursor, Claude Code)
- VS Code Extension (coming soon) - Visual context and diagnostics in your IDE
Quick Start
1. Create an Account
Sign up at rampify.dev and add your first site to start analyzing.
2. Install the MCP Server
The MCP server enables SEO intelligence directly in your AI coding tools:
npm install -g @rampify/mcp-server
See MCP Server Installation for detailed setup instructions.
3. Run Your First Analysis
From the dashboard, click "Analyze Site" to:
- Discover all pages from your sitemap
- Check technical SEO elements
- Identify issues and opportunities
- Get recommendations
4. Connect Google Search Console
Get a complete view of your indexing health by connecting Google Search Console. Catch indexing problems early and fix them quickly to speed up time-to-index for new content.
Key Features
Real-time SEO Intelligence
Get instant feedback on your changes:
- Check indexing status before deploying
- Generate optimized meta tags with AI
- Discover internal linking opportunities
- Scan sites for technical issues
Automated Site Crawling
Rampify automatically discovers and monitors your pages:
- Sitemap-based discovery
- Scheduled recrawls (Starter tier+)
- Change detection and alerts
Search Query Data
Understand how users find your content:
- Top performing queries (Starter tier+)
- Query Intelligence with AI insights (Pro tier)
- Click-through rate analysis
Next Steps
Need Help?
Coming soon:
- Community Discord
- GitHub repository
- Email support