SEO-Aware Text Summarizer
Generate summaries optimized for featured snippets and meta descriptions. Keeps target keywords, maintains factual accuracy, hits ideal length.
Install
pip install -r requirements.txtRun
python text_summarizer_seo.py --url https://example.com/post --keyword "cloud hosting" --type snippetpython text_summarizer_seo.py --file article.html --keyword "best crm" --type meta --output summary.txtExport
Add --output report.xlsx to save results as a spreadsheet.
| Flag | Description |
|---|---|
--url | Url |
--file | File |
--text | Text |
--keyword | Target keyword to preserve |
--type | Type. Options: snippet, meta, paragraph, abstract |
--output | Output |
python text_summarizer_seo.py --helpRun across all your blog posts to score quality. Sort by score in the XLSX export, then prioritize rewrites for the lowest-scoring pages.
Before publishing freelance content, run this tool to check quality signals. Use specific metrics as concrete feedback for writers.
Include the analysis in your SEO audit report. Clients appreciate data-backed recommendations over subjective opinions.
Combine with other tools for a complete workflow:
Requires: beautifulsoup4, pandas, requests. All included in requirements.txt.
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AAIO Inc — aaioinc.com/tools/text_summarizer_seo/