bencium-aeo

Generate AEO-ready content with FAQ answers, date stamps, and author attributions.

383|53|Updated Oct 18, 2025
One-click install
npx skills add https://github.com/bencium/bencium-marketplace --skill bencium-aeo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bencium-aeo
Source: https://github.com/bencium/bencium-marketplace/tree/main/bencium-aeo/skills/bencium-aeo
Command: npx skills add https://github.com/bencium/bencium-marketplace --skill bencium-aeo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AEO Content Optimization helps content creators ensure their material is easily extractable and citable by AI agents, improving visibility in AI-powered search and overviews.

Core Features & Use Cases

  • Create 15 FAQ items with date-stamped schema, evidence panels, and HowTo sections for actionable guidance.
  • Generate JSON-LD and structured data that AI engines can reliably cite.
  • Use in Claude Code workflows to prepare AI-ready pages and docs for product pages, tutorials, and knowledge bases.

Quick Start

Compose a Claude Code prompt to optimize your website for AI citations and evidence-based content generation.

Frequently Asked Questions about bencium-aeo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I format FAQ content for AI citations and search overviews?

Format FAQ content for AI citations by enforcing 30-50 word answers, 18-token extraction segments, date stamps, and explicit author attributions to ensure reliable extraction by AI engines.

What is AEO content optimization and how does it work with structured data?

AEO content optimization creates easily extractable material using structured JSON-LD schema and evidence panels, allowing AI agents to reliably cite website pages, tutorials, and knowledge bases.

How do I generate JSON-LD schema for HowTo sections and product pages?

Generate JSON-LD schema for HowTo sections and product pages by creating 15 FAQ items with date-stamped schema and evidence panels within Claude Code workflows to prepare AI-ready pages.

Can I use Claude Code workflows to create AI-ready documentation?

Yes, you can use Claude Code workflows to create AI-ready documentation and product pages by generating structured AEO content that maximizes visibility in AI-powered search overviews.

Why does my website content fail to appear in AI-powered search overviews?

Website content fails to appear in AI-powered search overviews when it lacks structured JSON-LD schema, explicit author attributions, and 18-token extraction segments required for reliable AI citation.

Do I need short answers with date stamps for AI search engine extraction?

Yes, you need 30-50 word answers with date stamps for AI search engine extraction, because AI agents require concise, explicitly attributed, and structured content to reliably cite sources.