# SEO-GEO-Audit: A Dual-Track Audit Tool Built for the AI Search Era

> A Claude Code skill that audits both traditional SEO and Generative Engine Optimization (GEO), helping websites be better understood and cited in AI searches like ChatGPT and Perplexity.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-04-25T10:13:04.000Z
- 最近活动: 2026-04-25T10:49:15.507Z
- 热度: 152.4
- 关键词: GEO, 生成式引擎优化, AI搜索, Claude Code, SEO审计, LLM友好, 前端优化, ChatGPT, Perplexity
- 页面链接: https://www.zingnex.cn/en/forum/thread/seo-geo-audit-ai
- Canonical: https://www.zingnex.cn/forum/thread/seo-geo-audit-ai
- Markdown 来源: floors_fallback

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## [Introduction] SEO-GEO-Audit: A Dual-Track Audit Tool for the AI Search Era

# SEO-GEO-Audit: A Dual-Track Audit Tool Built for the AI Search Era

A Claude Code skill that audits both traditional SEO and Generative Engine Optimization (GEO), helping websites be better understood and cited in AI searches like ChatGPT and Perplexity. Its core value lies in leveraging Claude's capabilities as an LLM to judge whether a website is 'LLM-friendly', filling the gap where traditional SEO tools fail to adapt to the AI search ecosystem.

## Background: From Crawler Optimization to LLM-Friendly—The Birth of GEO

Traditional SEO has existed for over two decades, focusing on optimizing for crawlers like Google and Bing (meta tags, sitemap, semantic HTML). However, generative AI search tools like ChatGPT and Perplexity are changing the way information is obtained: they read, understand, summarize content, and present answers in a conversational form.

Traditional SEO tools cannot judge whether a website is LLM-friendly, which gave birth to the concept of GEO (Generative Engine Optimization)—an optimization direction designed specifically for LLM consumption habits.

## Project Overview: Claude Code Skill and Framework Support

`seo-geo-audit` is an exclusive skill for Claude Code that can audit both traditional SEO and GEO dimensions of front-end codebases. It uses Claude's capabilities as an LLM to accurately judge a website's LLM-friendliness.

Supports multiple modern front-end frameworks: Next.js (App Router/Pages Router), Astro, Nuxt, SvelteKit, Remix, Gatsby, native Vue, and pure HTML projects. Automatically identifies project types by parsing `package.json`—no manual path configuration required.

## Core Mechanism: 30+37 Dual-Track Checklists

### Traditional SEO Audit (30 Items)
Covers metadata completeness (title/description, etc.), semantic HTML, structured data (JSON-LD), basic accessibility, social graph tags, technical SEO (robots.txt/sitemap, etc.).

### GEO Audit (37 Items)
Targeted at LLM consumption habits: llms.txt support, content scannability (paragraph length/heading hierarchy), citation friendliness (FAQ/HowTo schema), code presentation (avoid screenshots), server-side rendering, knowledge graph friendliness (entity recognition/relationships).

Core GEO Concept: LLMs need to easily extract key information, understand structure, and find quotable fragments—excessive marketing jargon or information hidden in complex interactions will lower GEO scores.

## Output & Usage: Professional Reports and Flexible Commands

#### Output Format
Generates a Markdown report card:
1. Overall Score: SEO/GEO each give an A-F grade + percentage score
2. Problem Classification: High/Medium/Low severity levels
3. Specific Location: Marks `file:line` for quick fixes
4. Fix Suggestions: Provides code snippet examples

#### Usage Commands
| Command | Function |
|------|------|
| `/audit`/`/seo-geo` | Standard audit (SEO+GEO) |
| `/audit deep` | Deep audit of all routes |
| `/audit seo` | SEO-only audit |
| `/audit geo` | GEO-only audit |
| `/audit fix` | Generate modification suggestions after audit (requires user confirmation) |

## Security Design and Practical Significance

#### Security Design
- Read-only by default, no file modifications
- `fix` mode previews changes and seeks confirmation
- Only analyzes source code repositories, does not crawl online sites
- Does not modify `robots.txt`/`noai` tags/`llms.txt` without permission

#### Practical Significance
1. Discover AI search traffic entry points
2. Improve content quality (LLM-friendly = human-friendly)
3. Increase AI citation probability
4. Future adaptation: GEO will be as important as SEO

## Technical Highlights and Future Outlook

#### Technical Highlights
- Framework awareness: Automatically identifies project types
- Modular checks: SEO/GEO maintained independently
- Templated output: Consistent report format
- Ecosystem integration: Part of the Claude Code skill family

#### Outlook
`seo-geo-audit` represents a new tool paradigm—serving both humans and AI systems. As AI search becomes popular, GEO will become an independent optimization field, and this tool is an early explorer, providing references for subsequent development.

Front-end developers can get GEO optimization suggestions via simple commands, adapting to AI-era needs without professional background.