Analyze a web page's semantic keyword coverage and topical gaps.
npx skills add https://github.com/stagsz/GeoRank --skill geo-semantic
Please help me install this Agent Skill. Skill: geo-semantic Source: https://github.com/stagsz/GeoRank/tree/main/skills/geo-semantic Command: npx skills add https://github.com/stagsz/GeoRank --skill geo-semantic
This Skill addresses the issue of shallow content that AI systems may overlook or under-rank by ensuring your content thoroughly covers a topic's semantic space.
Run the python script to analyze the semantic coverage of a given URL.
High-intent search queries and answers about installing and using this skill.
Semantic keyword coverage analysis identifies expected terms for a topic, measures their presence and distribution on the page, and assesses depth signals like elaboration and comparison. This process yields a 0-100 score with actionable recommendations for content expansion.
Topic gap analysis pinpoints crucial terms and subtopics that are absent from your web page content. It identifies expected terminology for a target keyword and suggests content expansion opportunities to ensure thorough topical coverage and enhance AI search visibility.
Semantic depth signals like elaboration, comparison, and taxonomy help AI systems evaluate topical authority. By thoroughly covering a topic's semantic space with relevant terminology, your content avoids being overlooked or under-ranked by AI search engines.
Yes, you can audit blog posts by running the semantic coverage analysis script on the post URL. The analysis identifies missing terms, measures topical depth, and provides actionable recommendations to ensure all relevant subtopics and terminology are covered for the target keyword.
The best way to improve your semantic coverage score is to follow the actionable recommendations provided by the gap analysis. Expand your content to include missing terms, add elaboration and comparison signals, and improve taxonomy to cover the topic's full semantic space.
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