seo-keyword-analysis_skill

Overview

This skill analyzes keywords using Google Search Console data combined with practical SEO methodology to identify opportunities and quick wins. It supports new keyword research, existing performance audits, and detection of low-hanging keyword opportunities. Use it to validate niches, prioritize targets, and create a clear optimization plan.

How this skill works

The skill pulls GSC query and page metrics (position, impressions, clicks, CTR) and combines them with keyword research signals like KD, volume, CPC, and SERP analysis. It classifies keywords (short-tail, long-tail, LSI), applies the Match & Exceed principle to evaluate beatability, and flags quick wins based on position, impressions, and low CTR. Outputs include actionable reports: new keyword verdicts, performance audits, and prioritized quick-wins lists.

When to use it

• Evaluating whether to target a new keyword or niche
• Validating content priorities using real GSC performance data
• Finding quick wins (high impressions, decent position, low CTR)
• Prioritizing optimization work for limited resources
• Checking monetization potential (CPC, geography) before investment

Best practices

• Start with long-tail keywords (KD < 20) for new or small sites
• Always perform a Match & Exceed SERP review before committing to a keyword
• Use GSC data to detect quick wins: positions 4–20 with impressions >100 and CTR <3%
• Validate monetization: check CPC and geographic distribution (50%+ from monetizable regions)
• Build content clusters using LSI keywords rather than chasing single high-volume terms

Example use cases

• New-site keyword selection: prioritize KD <20 long-tail targets with 100–500 volume
• Performance audit: use GSC queries to find pages with strong impressions but low CTR and improve titles/meta
• Quick-wins report: identify keywords at positions 4–20 with high impressions for fast optimization
• Niche validation: use KD, volume, SERP quality, and monetization checks before product or content investment
• Content planning: map LSI keywords into topic clusters to support depth and internal linking