Optimize content to rank in AI-generated answers
aeopluginsetup L2★17,464
alirezarezvani/claude-skills ↗What it does
Optimize content for citation by LLMs (ChatGPT, Claude, Gemini, Perplexity, Mistral)
Best for
Getting cited in ChatGPT, Claude, Gemini, Perplexity responses by optimizing for LLM E-E-A-T signals instead of traditional SEO ranking signals alone
Inputs
- · content or website URL
- · target LLM(s)
- · industry (SaaS/healthcare/finance/legal/ecommerce/B2B/media/education)
Outputs
- · AEO audit (E-E-A-T + structure score)
- · rewrite recommendations (conservative/balanced/aggressive)
- · citation ledger
- · industry-specific thresholds
Requires
- · 3 stdlib Python tools (aeo_audit.py, aeo_optimizer.py, citation_tracker.py)
- · LLM provider APIs for testing
Preconditions
Content written or website live; target audience includes LLM users; willingness to publish updates
Failure modes
E-E-A-T audit too conservative (flags accurate but less-authoritative sources); citation tracker underestimates due to privacy blocking; YMYL threshold wrong for niche industry
Trust signals
- · Ported from aeo-box answer-engine-optimization/ (9 modules, 2,464 LOC)
- · 3 references citing 7+ sources each on E-E-A-T + citation patterns + AEO-vs-SEO strategy
- · Industry-aware thresholds for 8 industries with stricter YMYL calibration
- · Citation-tracking schema + local-first ledger for auditing
- · Explicitly distinct from traditional SEO (both can run on same content)
- · v2.9.0 stable release