bencium-aeo

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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.

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NPX Install

npx skill4agent add bencium/bencium-marketplace bencium-aeo

SKILL.md Content

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 LevelOptimization 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):
DimensionWhat to Check
ExtractionHow many citation-ready sentences under 18 tokens?
FocusSingle topic or sprawling multi-topic?
AuthorityExpert attribution with credentials? Citations?
FreshnessUpdated 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:
  1. Recognition: "What is [Product]?" (ChatGPT, Claude, Gemini)
  2. Comparison: "Compare [Product] to [Competitor]"
  3. Best for: "What's the best [category] for [use case]?"
  4. 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