GEO Content Optimizer

**Judgment** GEO Content Optimizer is a focused, well-scoped utility for making text more likely to be cited by AI assistants, using a structured 8-dimension GEO framework and a consistent audit + rewrite format. It is best viewed as a strategic content-shaping tool rather than a fact-generation tool. **Strengths** - Clear conceptual model (SEO vs GEO) and concrete dimensions that map well to how LLMs tend to select and quote passages. - Strong, repeatable output template: audit table, GEO score, and optimized sections (definition, stats, FAQ). - Naturally complements planning/structuring skills, enabling end-to-end AI-first content workflows. **Key Risks / Limitations** - Emphasis on "specific facts with sources" and "data-packed" content can lead to hallucinated statistics or fabricated citations if the underlying model is not grounded in real data or checking references. - No built-in verification, source retrieval, or link-checking; accuracy depends entirely on the model and user input. - GEO guidance is qualitative; actual AI citation also depends on external ranking, domain authority, and model training data, which this skill cannot control. **Recommended Scenarios** - Marketers, content strategists, and SEO professionals reworking high-value pages to be more quotable by AI systems. - Teams turning internal docs or knowledge base articles into AI-friendly reference pages. - Creators publishing expert explainers or FAQs where being cited by LLMs is strategically important, provided they manually validate statistics and sources generated by the model.