SERP & Competitor Content Analysis
Fetches and analyzes multiple competitor pages using NLP to find content gaps, common terms, entity coverage, and semantic similarity.
Install
pip install -r requirements.txtRun
python competitor_analysis.py --urls https://comp1.com https://comp2.com --target-keyword "cloud hosting"python competitor_analysis.py --files comp1.html comp2.html comp3.html --target-keyword "crm software" --my-content my_page.htmlpython competitor_analysis.py --urls https://a.com https://b.com --target-keyword "seo tools" --output report.xlsxExport
Add --output report.xlsx to save results as a spreadsheet.
| Flag | Description |
|---|---|
--urls | Competitor URLs to fetch. Multiple values allowed |
--files | Local HTML files for competitor pages. Multiple values allowed |
--my-content | My content |
--target-keyword required | Primary keyword |
--output | Save report as XLSX |
--skip-similarity | Enable skip similarity mode (flag, no value needed) |
python competitor_analysis.py --helpRun before creating content. Use the output to plan which terms to target, group into clusters, and prioritize by difficulty. Export to XLSX and share with your content team.
Deliver keyword research as a paid service. Run the tool on a client's niche, export results, and present clusters as a content roadmap. Charge $100-300 per research package.
Analyze what keywords competitors rank for that you're missing. Feed the output into your content calendar to close gaps systematically.
Combine with other tools for a complete workflow:
Requires: beautifulsoup4, numpy, pandas, requests, scikit-learn, sentence-transformers, spacy. All included in requirements.txt.
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AAIO Inc — aaioinc.com/tools/competitor_analysis/