bencium-aeo

bencium-aeo is a skill for Claude Code from bencium/bencium-marketplace. It costs 57 tokens per session (1,157 once invoked), scanned A, original, MIT.

A content tool for Answer Engine Optimization, the practice of making website information easier for AI search systems such as ChatGPT, Claude, Gemini, and AI Overviews to find and cite.

In plain words
What is it for?
Use it to create FAQ markup, evidence panels, AI-oriented website content, and reviews of how ready content is for language-model extraction.
Why use it?
It helps identify whether content is clear and well structured for extraction and citation by AI search systems.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the bencium-aeo plugin — 1 skill shipped together

not rated 484repo +9 1mo ago A scan Socket: passSnyk: passSkillSpector: pass 57 tokens original MIT

Good fit Use it to create FAQ markup, evidence panels, AI-oriented website content, and reviews of how ready content is for language-model extraction.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bencium/bencium-marketplace/bencium-aeo
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add bencium/bencium-marketplace --skill bencium-aeo
Clone the repo
git clone --depth 1 https://github.com/bencium/bencium-marketplace

Made for: Claude Code.

Or install bencium-aeo, the plugin that ships this one along with the rest of its 1 skill.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for bencium-aeo

README.md
[![agentmods](https://agentmods.dev/badge/skills/bencium/bencium-marketplace/bencium-aeo/github.svg)](https://agentmods.dev/skills/bencium/bencium-marketplace/bencium-aeo)
Your own site
<a href="https://agentmods.dev/skills/bencium/bencium-marketplace/bencium-aeo"><img src="https://agentmods.dev/badge/skills/bencium/bencium-marketplace/bencium-aeo/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for bencium-aeo

Your own site · 80×15
<a href="https://agentmods.dev/skills/bencium/bencium-marketplace/bencium-aeo"><img src="https://agentmods.dev/badge/skills/bencium/bencium-marketplace/bencium-aeo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,157 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 15 Sept 2026
  • Snyk pass 15 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00057 $0.01157
Opus 5.5 $0.00023 $0.00463
Sonnet 5.5 $0.00011 $0.00231
Haiku 4.5 $0.00006 $0.00116

Measured 2mo ago against content hash ece6f69bfe8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bencium-aeo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

bencium-aeo/skills/bencium-aeo/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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%.

Read the full file on GitHub · 141 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 141 lines · 57 tokens per session scan A ece6f69bfe8b

Subscribe to this mod's changes

bencium-aeo is a skill published in the GitHub repository bencium/bencium-marketplace (484 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 1,157 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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