# SEO-GEO Skill: The Complete SEO Optimization Skill Set for Claude Code

> A comprehensive SEO skill set designed specifically for Claude Code, covering the full process from traditional SEO to Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). It includes 15 phases, 16 structured data types, and supports any CMS or tech stack.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-04-18T21:43:47.000Z
- 最近活动: 2026-04-18T21:52:34.973Z
- 热度: 145.8
- 关键词: SEO, GEO, AEO, 生成式引擎优化, Claude Code, 结构化数据, llms.txt, E-E-A-T, Core Web Vitals, AI搜索优化
- 页面链接: https://www.zingnex.cn/en/forum/thread/seo-geo-skill-claude-codeseo
- Canonical: https://www.zingnex.cn/forum/thread/seo-geo-skill-claude-codeseo
- Markdown 来源: floors_fallback

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## [Introduction] SEO-GEO Skill: Core Introduction to the Complete SEO Optimization Skill Set for Claude Code

With the rise of AI search engines and conversational AI, traditional SEO is evolving into a more complex form. SEO-GEO Skill is a comprehensive skill set designed specifically for Claude Code, integrating traditional SEO, Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO) into 15 systematic phases. It supports 16 structured data types and almost all mainstream CMS/tech stacks, helping websites upgrade from "robot-friendly" to "AI-friendly".

## [Background] SEO Paradigm Shift from robots.txt to llms.txt

The core of traditional SEO is to let crawlers discover and index content, while in the AI era, it's necessary to make large language models like ChatGPT and Claude cite your content. SEO-GEO Skill is designed around this paradigm shift, covering not only traditional technical SEO, on-page SEO, and structured data but also diving into AI-specific optimization dimensions such as the llms.txt protocol, entity disambiguation, and SameAs signals.

## [Methodology] 15 Systematic Optimization Phases and Structured Data Support

The skill set is broken down into 15 progressive optimization phases: 0. Comprehensive Audit (6-dimensional scoring), 1. Technical SEO Basics (AI crawler configuration, etc.), 2. On-Page SEO Optimization (titles/meta descriptions, etc.), 3. Structured Data Implementation (16 types: entity classes like Person/Organization, content classes like Article, e-commerce classes like Product, AI-specific classes like Speakable, etc.), 4. GEO Optimization (llms.txt/entity disambiguation, etc.),5. AEO Optimization (Speakable tags/answer-first structure),6. E-E-A-T Enhancement,7. Content Strategy,8. Core Web Vitals Optimization,9. Internal Link Architecture,10. Content Decay Management,11. Programmatic SEO,12. Video SEO,13. International SEO,14. Debugging and Verification.

## [Methodology] Cross-Platform Compatibility and Usage Flow

**Cross-Platform Support**: Covers mainstream platforms like WordPress, Shopify, Webflow, Next.js, static HTML, etc., adapting to each platform's metadata, structured data, and robots.txt configuration methods.

**Installation and Usage**: Install globally or at the project level via curl command; use commands like `/seo-geo https://yoursite.com` (audit + scoring), `--audit-only` (scoring only), `--phase geo` (GEO optimization only), etc. It is recommended to run `--verify` first to check permissions when using it for the first time.

## [Evidence] Scoring System and Optimization Effects

**Scoring System**: A total of 100 points across six dimensions (Technical SEO:20, On-Page SEO:20, Structured Data:20, GEO/LLM Optimization:20, E-E-A-T:10, AEO:10).

**Improvement Effects**: After applying to a typical website, the number of structured data types increased from 0-1 to 12-16, the number of allowed AI crawlers went from 0 to 9, llms.txt was fully deployed from scratch, the proportion of pages with complete OG tags reached 100%, and the internal link structure was upgraded from flat to a hub-and-spoke architecture.

## [Conclusion and Recommendations] Applicable Scenarios and Usage Strategies

**Applicable Scenarios**: 1. Marketers who want more citations in AI models; 2. Developers implementing SEO for clients;3. Agencies standardizing schema and GEO.

**Usage Strategies**: Choose `--phase geo` for quick results; run all 15 phases for comprehensive optimization; use content decay management and programmatic SEO for ongoing maintenance.

**Conclusion**: SEO-GEO Skill is a new form of SEO tool in the AI era, combining the rigor of traditional SEO with the forward-looking nature of GEO/AEO, providing a systematic framework for websites to maintain competitiveness in the AI search era.