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From bencium-aeo
Generates AEO-optimized content for AI search visibility in ChatGPT, Claude, Gemini, AI Overviews. Optimizes websites for citations via FAQ schemas, JSON-LD, evidence panels, and LLM extraction analysis.
npx claudepluginhub bencium/bencium-marketplace --plugin bencium-aeoHow this skill is triggered — by the user, by Claude, or both
Slash command
/bencium-aeo:bencium-aeoThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
**Answer Engine Optimization** - Optimize content for AI citations, not traditional search rankings.
Optimizes content for AI-powered search visibility in ChatGPT, Perplexity, Google AI Overviews, and similar platforms. Covers schema, llms.txt, AI crawler rules, and citation-focused content structuring.
Optimizes content and site structure for AI-driven search including AI overviews, LLM citations, generative answer engines, and AI assistants. Builds llms.txt, structures content for extraction, and future-proofs SEO for AI answers.
Optimizes content for AI search engines (Google AI Overviews, Perplexity, ChatGPT) using structured data, entity optimization, and question mining. Runs AI visibility audits and citation tests.
Share bugs, ideas, or general feedback.
Answer Engine Optimization - Optimize content for AI citations, not traditional search rankings.
Use this skill when:
NOT for traditional SEO - This is specifically for AI/LLM citation optimization.
Full templates and guidelines: Read prd.md in this directory for complete implementation details.
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-concept pages vastly outperform multi-topic content. Create focused URLs like domain.com/specific-concept rather than comprehensive guides.
Every major claim needs:
95% of AI citations come from content updated in last 10 months. Static content dies.
| 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%.
When user requests AEO content, generate:
datePublished and dateModifiedFor every important claim:
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?
<head>After implementation, test with:
Track: Mentioned? Linked? Accurate? Evidence quoted?
For complete templates, examples, and detailed guidelines, read:
prd.md - Full AEO content generation guide with HTML templatesstory-structured.md - Framework summary from Princeton study