Agent skill

Bencium Aeo

by bencium in bencium/bencium-marketplace

Generate AEO-optimized content (Answer Engine Optimization) for AI search visibility - ChatGPT, Claude, Gemini, AI Overviews.

MITAuto-check passedMarketing & SEO

Install Bencium Aeo

skills CLI
$ npx skills add bencium/bencium-marketplace --skill bencium-aeo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bencium/bencium-marketplace bencium-aeo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bencium/bencium-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bencium-aeo/skills/bencium-aeo .claude/skills/bencium-aeo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
bencium-aeo
GitHub stars
446
Token cost
~1.3k tokens
SKILL.md length
580 words
Files
5
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Generate AEO-optimized content (Answer Engine Optimization) for AI search visibility - ChatGPT, Claude, Gemini, AI Overviews.

  • Works in 4 steps: Product Overview (50 words) → 15 FAQs with Schema → Evidence Panels → …
  • Optimizing websites for AI citations
  • SKILL.md covers When to Use This Skill, Core Reference, Quick Reference: Key Principles and What to Generate, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Bencium Aeo is an agent skill from bencium/bencium-marketplace. 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.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `CLAUDE.md`, `README.md` and `prd.md`).

It sits in Marketing & SEO, covering AI search optimization. It works with OpenAI. The repository describes itself as: comprehensive skills based on the Anthropic Skills guide and our design and development philosophy. The licence is MIT.

When your agent uses it

  • Optimizing websites for AI citations
  • Creating FAQ schemas
  • Evidence panels
  • Analyzing content for LLM extraction readiness

Example prompts

  • “/bencium-aeo”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Product Overview (50 words)
  2. 15 FAQs with Schema
  3. Evidence Panels
  4. JSON-LD Schema

What it can do on your machine

Read from SKILL.md and the folder at commit 5de46a3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bencium Aeo loads about 1.3k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 580 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from bencium/bencium-marketplace at commit 5de46a3, republished under its MIT licence (© bencium). 580 words, ~1,262 tokens.

Download SKILL.mdSave it as .claude/skills/bencium-aeo/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
bencium-aeo
description
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.

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)
Show full SKILL.md (226 more words)Show less

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

© bencium, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files in bencium-aeo/skills/bencium-aeo of bencium/bencium-marketplace.

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

Open the folder on GitHubat commit 5de46a3

Compare with similar skills

Bencium Aeo next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Bencium Aeo compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bencium Aeo this skillbencium/bencium-marketplace446—~1.3kAutomated safety check: PassMIT
Geo Fundamentalswasp-lang/wasp19k9 repos~861Automated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude11k—~2.8kAutomated safety check: NotesMIT
Qiaomu SEOjoeseesun/qiaomu-seo441—~2.6kAutomated safety check: PassMIT
SEO DataforseoAgriciDaniel/codex-seo7972 repos~4.6kAutomated safety check: PassMIT

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Works with

Categories

Questions about Bencium Aeo

What does Bencium Aeo do?

Generate AEO-optimized content (Answer Engine Optimization) for AI search visibility - ChatGPT, Claude, Gemini, AI Overviews. Bencium Aeo is an agent skill from bencium/bencium-marketplace. Generate AEO-optimized content (Answer Engine Optimization) for AI search visibility - ChatGPT, Claude, Gemini, AI Overviews.

When should I use Bencium Aeo?

Bencium Aeo fits situations like: optimizing websites for AI citations; creating FAQ schemas; evidence panels; analyzing content for LLM extraction readiness.

How do I install Bencium Aeo in Claude Code?

Run `npx skills add bencium/bencium-marketplace --skill bencium-aeo -a claude-code`. Or copy the skill folder (bencium-aeo/skills/bencium-aeo in bencium/bencium-marketplace) into .claude/skills/bencium-aeo in your project. Claude Code loads it when a task matches its description.

How do I install Bencium Aeo in Codex?

Run `npx skills add bencium/bencium-marketplace --skill bencium-aeo -a codex`. Or copy the skill folder (bencium-aeo/skills/bencium-aeo in bencium/bencium-marketplace) into .agents/skills/bencium-aeo in your project. Codex loads it when a task matches its description.

Can I use Bencium Aeo in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bencium/bencium-marketplace --skill bencium-aeo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bencium-aeo, .gemini/skills/bencium-aeo, .github/skills/bencium-aeo and .opencode/skills/bencium-aeo in your project.

What does Bencium Aeo need to run?

SKILL.md names no scripts, command-line tools or credentials: Bencium Aeo is instructions for the agent only.

Does Bencium Aeo access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Bencium Aeo safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Bencium Aeo use?

Bencium Aeo is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bencium Aeo use?

About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bencium Aeo?

Skills that share tags, products or a category with Bencium Aeo: Geo Fundamentals (wasp-lang/wasp, 19k stars), SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars) and Qiaomu SEO (joeseesun/qiaomu-seo, 441 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bencium Aeo?

bencium (a GitHub user) maintains it in bencium/bencium-marketplace, which has 446 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 4, 2026.

Source: bencium/bencium-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.