Bencium Aeo

Community

bencium

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.

Overview

Publisher	bencium
Repository	`bencium-marketplace`
Skill name	`bencium-aeo`
Stars	432
Forks	58
Bundled files	3
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by bencium on GitHub. Read the source before you install it.

Installation

Install the Bencium Aeo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/bencium/bencium-marketplace.git /tmp/bencium-marketplace
mkdir -p .claude/skills
cp -r /tmp/bencium-marketplace/bencium-aeo/skills/bencium-aeo .claude/skills/bencium-aeo

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bencium Aeo in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bencium Aeo on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bencium Aeo is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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%.

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):

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 templates
story-structured.md - Framework summary from Princeton study

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bencium Aeo AI skill do?

Why use Bencium Aeo on TypingMind?

Because you install it once and use it with any model. Bencium Aeo is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bencium Aeo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bencium/bencium-marketplace/tree/main/bencium-aeo/skills/bencium-aeo. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bencium Aeo?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bencium Aeo?

As many as you like. As long as a model supports skills, you can use Bencium Aeo with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bencium Aeo AI skill free?

Yes. It is published on GitHub by bencium under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AEO Content Optimization Skill

When to Use This Skill

Core Reference

Quick Reference: Key Principles

The 18-Token Extraction Rule

Single-Topic Focus Pages

Citations + Statistics = 30-40% More Visibility

Freshness is Critical

Authority Level Determines Strategy

What to Generate

1. Product Overview (50 words)

2. 15 FAQs with Schema

3. Evidence Panels

4. JSON-LD Schema

Anti-Patterns (What to Avoid)

Traditional SEO Tactics Harm GEO

Content Structure Errors

Assessment Framework

Implementation Checklist

Testing Protocol

Full Documentation

Bundled files

Frequently asked questions

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