Optimize content for AI citations
geo-content-optimizerskillsetup L2★2,052
aaron-he-zhu/seo-geo-claude-skills ↗Causal-lift measurements
ai-content-optimization+32pp vs no-skill baselinewith-skill 72% · baseline 40%
Measured by running the task with and without this artifact, K=5, graded by deterministic checks — no LLM judging.
What it does
Optimize content for AI-generated answer citations
Best for
When your content needs visibility in ChatGPT/Perplexity/Gemini answers and you want to compete with AI Overview fragments rather than generic SEO.
Inputs
- · content text or URL
- · target AI engine (optional: ChatGPT/Perplexity/Gemini/Claude)
Outputs
- · rewritten content with GEO-optimized structure
- · before/after GEO score
- · AI Query Coverage report
- · CORE-EEAT self-check result
Requires
- · AI monitor (optional)
- · SEO tool (optional)
Preconditions
- · Entity profiles should exist in memory/entities/<slug>.md if content mentions brands/people/products
- · target AI queries must be specified or inferred
Failure modes
- · Cannot work without knowing target AI queries — will request them
- · If entity profiles are missing/stale (>90 days), will declare DONE_WITH_CONCERNS
- · No output if CORE-EEAT check has unaddressed Fails
Trust signals
- · Named CORE-EEAT GEO-First Targets (C02, C09, O03, O05, E01)
- · 5-step structured process with before/after scoring
- · Explicit self-check matrix across 13 dimensions (C02, C04, C09, O02, O03, O05, O06, R01, R02, R04, R07, E01, Exp10, Ept08)
- · Cross-references skill-contract.md and entity-geo-handoff-schema.md for handoff structure
- · References 4-phase AI Overview Recovery playbook