Optimize content for AI citation
aeoskillsetup L1★17,464
alirezarezvani/claude-skills ↗What it does
Optimize content for citation by LLMs
Best for
B2B SaaS, healthcare, finance, and technical content where facts drive LLM citation and breaking top-10 Google results
Inputs
- · [object Object]
- · [object Object]
- · [object Object]
Outputs
- · [object Object]
- · [object Object]
- · [object Object]
Preconditions
Content has verifiable factual claims; Python 3 with stdlib; industry knowledge helps but optional
Failure modes
- · Optimizing content with no verifiable facts (brand-voice only)
- · Ignoring LLM training lag (breaking news not cited for months)
- · Over-optimizing low-salience topics where LLMs have strong training signal
Trust signals
- · E-E-A-T scoring explicitly mapped to Experience/Expertise/Authoritativeness/Trustworthiness
- · Three optimization modes (conservative/balanced/aggressive) with word-touch percentages
- · Industry-aware fact-checking (healthcare/finance get stricter citation thresholds)
- · Citation tracking via Perplexity/ChatGPT/Claude/Gemini/Mistral with LLM + query + date logging
- · Distinguishes AEO from SEO (citation vs click-through)