What is the difference between SEO and GEO?

Traditional SEO focuses on ranking in standard search results, while GEO (Generative Engine Optimization) focuses on being cited as a source within generative AI responses and LLM-powered search results.

Does this skill provide technical implementation help?

Yes, it generates specific technical assets including AI-friendly robots.txt configurations and Schema.org markup (FAQPage, HowTo) that prioritize content for AI crawlers.

Which AI platforms does this optimization target?

The methodology is optimized for the major generative search engines including ChatGPT Search, Perplexity AI, Claude, Google Gemini (AI Overviews), and standard featured snippets.

How does this skill improve AI citation probability?

It utilizes the CRASP framework to enhance clarity, relevance, authority, structure, and precision, making content significantly easier for AI crawlers to parse and quote accurately.

Can I use this for existing content audits?

Absolutely. The skill includes an audit report template and a scoring guide to assess current content and provide a prioritized action plan for improvement.

GEO & AEO Content Optimizer

Name: GEO & AEO Content Optimizer
Author: schwepps

byschwepps

マーケティングオートメーション

Optimizes web content for visibility in AI search engines and generative AI responses through specialized structuring and E-E-A-T signals.

概要

The GEO & AEO Content Optimizer skill empowers users to adapt their digital content for the 2025 search landscape, focusing on Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). It provides a professional framework to enhance AI citation probability across platforms like ChatGPT, Perplexity, and Claude by implementing E-E-A-T signals, question-based content structures, and high-density factual formatting. This skill is essential for marketers and developers looking to secure featured snippets and ensure their data is accurately represented and cited within large language model responses.

主な機能

AI-specific robots.txt and JSON-LD schema markup generation
0 GitHub stars
Content restructuring templates designed for maximum AI extractability
Detailed AI Visibility Assessment reports with actionable scoring
Triple-Threat Framework for integrated E-E-A-T, AEO, and GEO optimization
Automated fact-density and AI citation readiness auditing

ユースケース

Auditing legacy blog posts to improve their citation potential in AI search results
Restructuring technical documentation to capture Google AI Overviews and featured snippets
Implementing trust signals and expert attribution to boost brand authority in LLM training sets

概要

主な機能

AI-specific robots.txt and JSON-LD schema markup generation
0 GitHub stars
Content restructuring templates designed for maximum AI extractability
Detailed AI Visibility Assessment reports with actionable scoring
Triple-Threat Framework for integrated E-E-A-T, AEO, and GEO optimization
Automated fact-density and AI citation readiness auditing

ユースケース

Auditing legacy blog posts to improve their citation potential in AI search results
Restructuring technical documentation to capture Google AI Overviews and featured snippets
Implementing trust signals and expert attribution to boost brand authority in LLM training sets