Competitor Strategy Analyzer
Reverse-engineers a competitor's content strategy by analyzing their sitemap or page collection: content types, publishing cadence, topic distribution, and content investment patterns.
Install
pip install -r requirements.txtRun
python competitor_strategy_analyzer.py --sitemap https://competitor.com/sitemap.xml --output strategy.xlsxpython competitor_strategy_analyzer.py --urls https://comp.com/blog/p1 https://comp.com/blog/p2 --output strategy.xlsxExport
Add --output report.xlsx to save results as a spreadsheet.
| Flag | Description |
|---|---|
--sitemap | Competitor sitemap URL |
--urls | Competitor page URLs. Multiple values allowed |
--max-pages | Max pages to analyze content. Default: 50 (integer) |
--output | Save as XLSX |
python competitor_strategy_analyzer.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. All included in requirements.txt.
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AAIO Inc — aaioinc.com/tools/competitor_strategy_analyzer/