name: geo-content-optimizer
description: >
Optimize content for AI citations (ChatGPT, Perplexity, AI Overviews, Gemini,
Claude, Copilot) inside a toprank SEO workflow. Use when the task needs "optimize
for AI", "get cited by ChatGPT", "GEO optimization", or "appear in AI answers"
AS PART OF a broader SEO engagement (alongside seo-analysis, keyword-research,
content-writer). For AI-citation work with NO SEO context, use bencium-aeo
directly — this skill's technique library now lives there.
GEO Content Optimizer (toprank sub-skill)
This is a pointer, not a deprecated stub: it stays invocable as toprank's
GEO entry point, but the technique library it used to carry has moved to
bencium-aeo/references/geo-techniques.md
so the estate has one authority for AI-citation optimisation instead of two
overlapping ones.
When to use this pointer vs bencium-aeo directly
- Inside a toprank SEO workflow — you're already running
seo-analysis,
keyword-research, or content-writer and want to layer GEO on top: read
the reference below, apply the techniques, then hand off to
content-writer.
- Standalone AI-citation work with no SEO context — invoke
bencium-aeo
directly; it owns the full workflow (analysis, generation, evidence panels,
JSON-LD schema, testing protocol).
Boundary with bencium-aeo
Same underlying techniques (18-token rule, evidence panels, freshness
signals, FAQ schema) — the boundary is workflow context, not technique. This
pointer exists so a toprank-driven SEO engagement can reach GEO technique
without leaving the suite; bencium-aeo is the standalone, SEO-context-free
workflow with its own analysis/generation/testing steps. bencium-aeo/SKILL.md
carries the reciprocal note under its own "Related skills" section.
Reference materials (moved to bencium-aeo)