zensink/zens-ink-seo-package/keyword-research

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Find low-competition keyword opportunities without paid tools (Ahrefs, Semrush). Runs real zero-dependency Python CLIs: Google Autocomplete discovery (with a-z long-tail expansion), semantic clustering, Bing volume lookup, and automated KGR opportunity scoring. Use when the user wants keyword ideas for a niche, asks "find low competition keywords", wants to cluster a keyword list, or wants keyword volume without an SEO subscription. No API keys needed for discovery and clustering; volume lookup needs an optional free Bing Webmaster key.

Install

npx vskill@latest install zensink/zens-ink-seo-package/keyword-research

SKILL.md

Keyword research without paid tools

Discover keywords, cluster them into topics, score them for opportunity — all from free data sources (Google Autocomplete, Bing Webmaster API). No Ahrefs/Semrush subscription required.

When to use

  • "Find keyword ideas for my niche / my SaaS / my blog"
  • "Which long-tail keywords should I target?"
  • "Cluster this keyword list into topics"
  • "Score these keywords — which ones are worth writing?"

When NOT to use

  • The user already pays for Ahrefs/Semrush and wants their numbers — use their tool.
  • They want backlink data — this skill has none (that is a paid-data problem).

Setup (one-time)

bash
pip install zens-ink

Zero dependencies beyond Python 3.9+. All commands run as python3 -m zens_ink.<tool>.

Commands

1. Discover keywords (no key needed)
bash
python3 -m zens_ink.keyword_research "ai seo tools"

Real output:

============================================================
Keyword: ai seo tools (en)
============================================================
In autocomplete : YES
Activity level : high-activity (10 variants)
Suggestions:
ai seo tools
ai seo tools for small business
ai seo tools free
ai seo tools reddit
ai seo tools comparison
...

Add --expand for a-z long-tail discovery (slower, much deeper). --lang zh for Chinese autocomplete. --json for machine-readable output.

2. Cluster a keyword list into topics
bash
python3 -m zens_ink.keyword_cluster --file keywords.txt

Groups semantically related keywords so one page can target one cluster. Use the output of step 1 (save suggestions to a file, one per line).

3. Volume lookup (optional, free Bing Webmaster key)
bash
python3 -m zens_ink.keyword_volume "ai seo tools free" "ai seo tools reddit" --country us --lang en-us

Language must be a full locale (en-us, not en), country lowercase — the CLI normalizes this for you. Needs BING_WMT_API_KEY in .env.

4. Score opportunities: KGR (no key needed)
bash
python3 -m zens_ink.kgr_auto --file keywords.txt --csv opportunities.csv

KGR = allintitle count / monthly search volume.

How to read the results

  • KGR < 0.25 — low-competition, a new site can rank for it. Write it.
  • KGR 0.25–1.0 — possible with some authority; pair with internal links.
  • KGR > 1.0 — skip unless the user's domain is strong.
  • Autocomplete high-activity seeds = live demand; low-activity seeds are

usually too thin to build on.

  • One cluster = one page. Never target two clusters with one URL.

Next steps

  • Check how hard the survivors are: the keyword-difficulty skill.
  • Confirm intent before writing: the search-intent skill.

Going deeper

ZensInk Pro adds personalized Winability Scores (difficulty relative to YOUR domain's GSC data) and a Content Radar editorial calendar: https://zens.ink/pricing/

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