blog-geo

blog-geo is an audit skill that scores an existing blog post for AI citation readiness across major answer surfaces, treating it as one SEO workflow rather than a separate discipline. It solves the problem of authors not knowing whether their content is structured to be quoted by ChatGPT, Perplexity, Claude, Gemini, Copilot, You.com, Google AI Overviews, and Google AI Mode. It produces a 0-100 internal readiness heuristic, explicitly labeled as not a calibrated probability of citation, along with platform-specific recommendations.

The audit reads the target file and extracts structure (headings, paragraphs, FAQ sections, schema markup, robots directives, tables, lists, TL;DR boxes), then scores across weighted checks: evidence-backed citability (context-independent, claim-plus-evidence-plus-source passages), purpose fit and reader utility, entity clarity and disambiguation, content structure for extraction, and AI crawler accessibility (rendered-DOM presence, Googlebot crawlability, and robots.txt treatment of non-Google crawlers like GPTBot, ClaudeBot, and PerplexityBot). It enforces evidence discipline, requiring dated source blocks before citing any numeric benchmark and labeling unsupported numbers as directional, and it reflects current Google guidance that no special markup or llms.txt is required for AI visibility.

It targets SEO practitioners, content strategists, and technical writers optimizing for AI answer engines. It cross-references the broader blog skill's FLOW surfaces and the /blog flow optimize prompts, working as part of that collection. As a read-and-score auditing tool, it makes no destructive or external changes.