domains / families / marketing / seo-geo

seo-geo

combined

SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility. Optimize content for AI Overviews, ChatGPT, Perplexity, and other AI search systems. Use when improving GEO, AI citations, llms.txt readiness, crawler accessibility, and passage-level citability.

When to use

• Use when improving visibility in AI Overviews, ChatGPT, Perplexity, or similar AI search systems.
• Use when evaluating llms.txt readiness, AI crawler access, or citation-oriented content structure.
• Use when the user asks about GEO, AI SEO, LLM visibility, or AI citations.

When not to use

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Skill page

Conflict

Both copies address SEO and GEO, but they emphasize different, non-overlapping procedures. The ReScienceLab copy is a procedural workflow (audit scripts, keyword research, Princeton GEO methods, schema templates, validation). The sickn33 copy is a diagnostic framework (weighted citability/structure/authority/technical scores, llms.txt, RSL 1.0, platform-specific citation sources, and a different crawler list). Neither is a shortened or wrapped version of the other; crowning one would hide the other's unique steps and constraints.