bencium-aeo
Generate AEO-optimized content (Answer Engine Optimization) for AI search visibility - ChatGPT, Claude, Gemini, AI Overviews. Use when optimizing websites for AI citations, creating FAQ schemas, evidence panels, or analyzing content for LLM extraction readiness.
83
78%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./bencium-aeo/skills/bencium-aeo/SKILL.mdAEO 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
datePublishedanddateModified - 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
<head> - 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 templatesstory-structured.md- Framework summary from Princeton study
- Repository
- bencium/bencium-marketplace
- Commit
20077d3
- Last updated
- Created
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.