Lsi Keyword Finder
⚲ Keyword Research & SERP

LSI / Related Keyword Finder

v1.0 documentation

Finds semantically related keywords using word embeddings and co-occurrence. Useful for expanding keyword lists and finding related terms to include.

XLSX export
lsi_keyword_finder.py136 lines5 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python lsi_keyword_finder.py --keyword "cloud hosting" --corpus-urls https://a.com https://b.com
terminal
python lsi_keyword_finder.py --keyword "project management" --corpus-file content.txt --top 30
3

Export

Add --output report.xlsx to save results as a spreadsheet.

Parameters
FlagDescription
--keyword requiredSeed keyword
--corpus-urlsURLs to build corpus from. Multiple values allowed
--corpus-filesFiles for corpus. Multiple values allowed
--topTop (integer)
--outputSave as XLSX
help
python lsi_keyword_finder.py --help
Use cases
Keyword strategy
Client research
Competitor intelligence

Run 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.

Dependencies

Requires: beautifulsoup4, nltk, numpy, pandas, requests, scikit-learn, sentence-transformers. All included in requirements.txt.

Get all 154 Python SEO tools — $49

One-time payment. Lifetime access. No monthly fees.
Learn 25 tools and get 25% back. Earn from client work and get 50% back.

Get the full toolkit

AAIO Inc — aaioinc.com/tools/lsi_keyword_finder/