bencium-aeo

安装量: 53
排名: #13853

安装

npx skills add https://github.com/bencium/bencium-claude-code-design-skill --skill bencium-aeo

AEO Content Optimization Skill Answer Engine Optimization - Optimize content for AI citations, not traditional search rankings. When to Use This Skill Use this skill when: User asks to optimize content for AI search/citations User mentions ChatGPT, Claude, Gemini visibility User wants FAQ schema, JSON-LD, or structured data for AI User asks about GEO (Generative Engine Optimization) User wants to analyze content for AI extraction readiness User mentions "AI Overviews" or "answer engines" NOT for traditional SEO - This is specifically for AI/LLM citation optimization. Core Reference Full templates and guidelines: Read prd.md in this directory for complete implementation details. Quick Reference: Key Principles The 18-Token Extraction Rule LLMs extract self-contained sentences of ~18 tokens (~15-20 words). Key claims must be complete, quotable statements requiring zero surrounding context. Good: "Eight-API synthesis reduces property analysis errors by 67%." (9 tokens) Bad: "Our system is incredibly fast and delivers amazing results." (vague) Single-Topic Focus Pages Single-concept pages vastly outperform multi-topic content. Create focused URLs like domain.com/specific-concept rather than comprehensive guides. Citations + Statistics = 30-40% More Visibility Every major claim needs: Verifiable data with methodology Date of data collection Expert attribution (Name + Credentials + Org) Freshness is Critical 95% of AI citations come from content updated in last 10 months. Static content dies. Authority Level Determines Strategy Authority Level Optimization Approach Challenger (new sites, low authority) Aggressive: 5-7 extraction points per page, heavy citations, weekly micro-updates Established (top-ranked, well-known) Light touch: 1-2 strategic points, trust existing credibility, avoid over-optimization Princeton finding: Rank-5 sites gained 115% visibility with aggressive optimization. Rank-1 sites that over-optimized lost 30%. What to Generate When user requests AEO content, generate: 1. Product Overview (50 words) What it is (one clause) Scope/timeframe context Why it matters (value proposition) "Last updated" date 2. 15 FAQs with Schema Questions: 7-12 words, natural language Answers: 30-50 words (sweet spot for AI extraction) FAQPage JSON-LD schema with datePublished and dateModified Persistent anchor IDs (#faq-slug) 3. Evidence Panels For every important claim: Claim statement Methodology Data source + URL Date of data collection Limitations Contact for questions 4. JSON-LD Schema FAQPage (most important) HowTo (for guides) Product (for product pages) Organization (for About page) Anti-Patterns (What to Avoid) Traditional SEO Tactics Harm GEO Keyword stuffing Generic listicles without original insight Vague hedged language ("may help", "could potentially") Multi-topic comprehensive guides Over-optimization on established sites Content Structure Errors FAQ answers over 50 words Buried answers (put conclusion first) Pronoun ambiguity ("it" instead of "the product") Missing dates and freshness signals No schema markup Assessment Framework When analyzing content for AEO readiness, score (0-10): Dimension What to Check Extraction How many citation-ready sentences under 18 tokens? Focus Single topic or sprawling multi-topic? Authority Expert attribution with credentials? Citations? Freshness Updated within 90 days? Dated content? Quick test: Can you copy-paste 3 sentences that fully answer a question without context? Implementation Checklist Product overview: 50 words, dated, under H1 15 FAQs: 30-50 words each, natural questions Evidence panels: method, data, date, limitations "Last updated" dates on every section FAQPage JSON-LD schema in Persistent anchor IDs for FAQs Validated with Google Rich Results Test Testing Protocol After implementation, test with: Recognition: "What is [Product]?" (ChatGPT, Claude, Gemini) Comparison: "Compare [Product] to [Competitor]" Best for: "What's the best [category] for [use case]?" How-to: "How do I [task with product]?" Track: Mentioned? Linked? Accurate? Evidence quoted? Full Documentation For complete templates, examples, and detailed guidelines, read: prd.md - Full AEO content generation guide with HTML templates story-structured.md - Framework summary from Princeton study

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