Bencium Aeo: Install, Source and Security | FunnelSlayer
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Bencium Aeo

Published by mattnebr in ai-assistant-foundry

No known issues2 installs

What this skill does

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.

Add Bencium Aeo to your agent

Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.

Install with a prompt

Paste this into a compatible coding agent:

add this skill "bencium-aeo" from https://github.com/mattnebr/ai-assistant-foundry

Install with the CLI

Run this command in a controlled environment after reviewing the repository:

npx skills add https://github.com/mattnebr/ai-assistant-foundry --skill bencium-aeo

Skill instructions

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

Files included

  • CLAUDE.md
  • prd.md
  • README.md
  • SKILL.md
  • story-structured.md

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