Analyze search intent and difficulty to cluster keywords for SEO planning.
npx skills add https://github.com/jacardl/New-Radar --skill keyword-research-jacardl
Please help me install this Agent Skill. Skill: keyword-research Source: https://github.com/jacardl/New-Radar/tree/main/skills/keyword-research Command: npx skills add https://github.com/jacardl/New-Radar --skill keyword-research-jacardl
Keyword research is essential to uncover high-value terms that match user intent, enable targeted content planning, and optimize GEO reach. It helps you move from guesswork to data-driven decisions, saving time and increasing organic visibility.
Provide seed keywords and target audience to generate a prioritized keyword list with intent and difficulty insights.
High-intent search queries and answers about installing and using this skill.
To find high-value keywords for SEO, analyze search intent, estimate difficulty, and classify terms into informational, navigational, commercial, or transactional categories. This process prioritizes opportunities by mapping topic clusters from seed terms.
The best way to conduct long-tail keyword research for content gap analysis is to generate seed keywords from topics, score difficulty, and map topic clusters. This reveals untargeted queries with lower competition and clear intent.
Identify geo keywords for regional SEO by evaluating location-specific opportunities within your seed terms. This classifies search intent and highlights location-specific signals to optimize geographic reach.
You can perform competitive keyword research by supplying seed terms and a target audience to generate a prioritized list. Optional data sources enhance the analysis, but core intent classification and difficulty scoring work with baseline inputs.
Cluster keywords by generating seed terms from user questions and products, then grouping them into topic clusters based on classified search intent and difficulty scores. This structures your content strategy around targeted opportunities.
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