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keyword-research

Discovers, scores, and clusters SEO keywords by volume, difficulty, and intent.

Updated Jul 2, 2026
Search Tags:#keyword research#topic clusters#seo#search intent#geo#keyword difficulty#search volume
One-click install
npx skills add https://github.com/qaz26688442/bo-car --skill keyword-research-qaz26688442
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: keyword-research
Source: https://github.com/qaz26688442/bo-car/tree/main/.agents/skills/keyword-research
Command: npx skills add https://github.com/qaz26688442/bo-car --skill keyword-research-qaz26688442

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? It turns a vague topic or seed keyword into a prioritized, evidence-labeled keyword plan, removing the guesswork of deciding which search terms to target for SEO and AI-answer (GEO) visibility. ## Core Features & Use Cases - Eight-phase research workflow: scope, discover, expand variations, classify intent, score difficulty and opportunity, GEO-check, cluster into pillar topics, and deliver a report. - Evidence labeling: every metric is tagged Measured, User-provided, Calculated, Estimated, Proxy, or Unknown, with source, locale, and observation window preserved. - Keyless data helpers: optional local scripts pull Google Autocomplete suggestions, live SERP samples via Firecrawl, and Wikipedia pageview trends as demand proxies when no SEO tool is connected. - Use Case: A marketer asks to research keywords for a project management tool and receives a report with quick-win keywords, topic clusters, GEO opportunities, and a content calendar. ## Quick Start Research keywords for my project management software targeting small businesses in the US market.

Frequently Asked Questions about keyword-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I do keyword research without an SEO tool subscription?▼

Keyword research without a paid SEO tool uses free data sources: Google Autocomplete for keyword expansion, keyless SERP sampling to see who ranks, and Wikipedia pageview trends as a demand proxy. Volume and difficulty still require Search Console data or user-provided metrics, labeled as such.

How is keyword opportunity score calculated?▼

The opportunity score formula is (Volume × Intent Value) / Difficulty, where intent value is 1 for informational and navigational, 2 for commercial, and 3 for transactional keywords. An optional Impact × Confidence pass adds CPC, funnel stage, and ranking position signals.

What are striking-distance keywords in Google Search Console?▼

Striking-distance keywords are queries already ranking in positions 5-20 in your Search Console data, representing proven demand a small push can convert. The Search Analytics API has no position filter, so request a high row limit and filter the 5-20 window client-side.

Can Wikipedia pageviews replace search volume data?▼

Wikipedia pageviews measure topic attention, not search volume, so they cannot be quoted as volume numbers. Use them to rank topics against each other, detect seasonality, and time content, always labeled as Proxy evidence.

What is the difference between keyword research and content gap analysis?▼

Keyword research discovers and prioritizes terms for a topic based on volume, difficulty, and intent. Content gap analysis compares your coverage against competitors to find terms they rank for that you miss, which is a separate skill.

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