Audit HTML and Markdown blog posts for AI citation readiness and generate platform-specific citation capsules.
npx skills add https://github.com/captaindevv/blogs --skill blog-geo-captaindevv
Please help me install this Agent Skill. Skill: blog-geo Source: https://github.com/captaindevv/blogs/tree/main/skills/blog-geo Command: npx skills add https://github.com/captaindevv/blogs --skill blog-geo-captaindevv
Many blog posts are structured for human readers but not for AI citation systems, causing content to be overlooked or uncited by ChatGPT, Perplexity, and Google AI Overviews; this reduces visibility and undermines authority. The Skill audits content to identify extractable passages, formatting gaps, entity ambiguity, structural issues, and crawler accessibility so authors can make their posts citable by AI systems.
Ask the assistant to analyze a draft or published post for AI citation readiness, generate per-section citation capsules, and return a 0-100 readiness score.
High-intent search queries and answers about installing and using this skill.
To make your blog post citable by AI systems, you need to audit it for passage-level citability, Q&A formatting, entity clarity, and AI crawler accessibility. This generates a 0-100 readiness score and platform-specific recommendations for ChatGPT, Perplexity, and Google AI Overviews.
AI citation readiness measures how easily AI systems like ChatGPT and Perplexity can extract and cite content from your blog. It is measured by a 0-100 readiness metric that maps sub-scores for passage citability, entity clarity, structural extraction patterns, and technical accessibility.
You generate AI-friendly citation capsules by analyzing draft or published HTML and Markdown posts, which produces 40-60 word self-contained summaries for each H2 section that can be embedded directly into your article for AI crawlers to extract.
Yes, your blog post needs proper schema placement, static HTML rendering, and correct robots directives for Google AI Overviews to reliably cite it. Technical accessibility checks verify these elements along with table and thead structure for AI extraction.
The best way to audit an existing article for AI search visibility is to evaluate its passage-level citability and technical accessibility for ChatGPT, Perplexity, and Google AI Overviews. This produces a 0-100 readiness score and identifies formatting gaps and entity ambiguity for optimization.
ChatGPT may overlook your published blog content if it lacks extractable passages, has formatting gaps, or contains entity ambiguity. Auditing your post's structural extraction patterns and AI crawler accessibility identifies why the content is being overlooked or uncited.
deepakbunkarAudit blog posts with a 5-category, 100-point quality scoring system.
mohamednegm0Assess blog posts for AI citation readiness and generate citation capsules.
deomiarnAudit site readiness and implement sitemap.xml, robots.txt, and JSON-LD schema.
xenitV1Audit web content for AI citation readiness using structured data checks.
