Internal Link Recommender — Suggest internal links based on semantic relevance.
Install
pip install -r requirements.txtRun
python internal_link_recommender.py --helpExport
Add --output report.xlsx to save results as a spreadsheet.
| Flag | Description |
|---|---|
--urls required | Urls. Multiple values allowed |
--top | Top (integer) |
--output | Output |
python internal_link_recommender.py --helpRun as part of a comprehensive site audit. Identify problems, export to XLSX, and include specific fix recommendations in your report.
Schedule monthly runs and compare XLSX exports to track changes. Catch issues before they impact rankings.
Use the output to identify link building opportunities. Export prospects and feed into your outreach pipeline.
Combine with other tools for a complete workflow:
Requires: beautifulsoup4, numpy, pandas, requests, scikit-learn, sentence-transformers. All included in requirements.txt.
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AAIO Inc — aaioinc.com/tools/internal_link_recommender/