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- metadata
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- title: Test SEO Engine
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- emoji: πŸš€
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  colorFrom: blue
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  colorTo: purple
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  sdk: streamlit
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- sdk_version: 1.28.0
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  app_file: app.py
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  pinned: false
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- license: mit
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- tags:
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- - seo
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- - graph-analysis
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- - pagerank
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- - neural-networks
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- - internal-linking
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- - streamlit
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- - pytorch
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- python_version: 3.9
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- πŸš€ Zurich SEO Eng
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ title: Website Link Impact Analyzer
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+ emoji: πŸ”—
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  colorFrom: blue
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  colorTo: purple
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  sdk: streamlit
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+ sdk_version: "1.28.1"
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  app_file: app.py
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  pinned: false
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+ ---
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+
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+ # πŸ”— Website Link Impact Analyzer
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+
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+ **Find out if your page link changes will help or hurt your search rankings**
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+
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+ ## What it does
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+
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+ This tool helps you test page link changes before you make them by simulating how your link changes might affect your page rankings in search engines.
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+
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+ ## Features
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+
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+ - 🚦 **Traffic Light System** - Clear go/stop/caution recommendations
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+ - πŸ“Š **Monte Carlo Simulations** - Run multiple tests for reliable results
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+ - 🌐 **Internet Simulation** - Creates realistic web environments for testing
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+ - πŸ“ˆ **PageRank Analysis** - Uses advanced algorithms to predict ranking changes
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+ - πŸ‡ **Powered by Grape** - High-performance graph library for faster analysis
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+
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+ ## How to use
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+
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+ 1. **Prepare your CSV files** with these columns:
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+ - `FROM` - the page that has the link
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+ - `TO` - the page being linked to
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+
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+ 2. **Upload two files**:
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+ - Current page links (your existing setup)
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+ - Planned page links (your proposed changes)
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+
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+ 3. **Run the analysis** and get clear recommendations
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+
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+ ## Example CSV format
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+
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+ ```csv
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+ FROM,TO
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+ mysite.com/about,mysite.com/contact
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+ mysite.com/blog/post1,partner.com/resource
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+ partner.com/page,mysite.com/services
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+ ```
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+
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+ ## Technology
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+
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+ - **Frontend**: Streamlit
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+ - **Graph Analysis**: Grape (high-performance graph library)
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+ - **Visualization**: Plotly, Matplotlib, Seaborn
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+ - **Data Processing**: Pandas, NumPy
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+
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+ ## Performance
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+
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+ Thanks to Grape's Rust-based backend, this tool can:
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+ - Handle large networks (10K+ pages)
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+ - Run complex simulations quickly
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+ - Provide faster PageRank calculations than traditional tools
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+
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+ ## Support
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+
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+ If you encounter any issues or have questions, please check the built-in help sections in the app or refer to the documentation.
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+
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference