# AEORank: Open-Source AI Visibility Scanning Tool, Evaluate Your Website with 36 Standards

> AEORank is an open-source AI visibility assessment tool that scores websites from 0 to 100 across 36 dimensions, generates 9 AI-readable file formats, and supports CLI command line, GitHub App integration, and plugins for 13 mainstream frameworks.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-04-03T19:00:48.000Z
- 最近活动: 2026-04-03T19:19:44.605Z
- 热度: 152.7
- 关键词: AEORank, AI可见度, AEO工具, 开源, 网站扫描, AI优化, 结构化数据, CLI工具, GitHub App
- 页面链接: https://www.zingnex.cn/en/forum/thread/aeorank-ai-36
- Canonical: https://www.zingnex.cn/forum/thread/aeorank-ai-36
- Markdown 来源: floors_fallback

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## AEORank: Introduction to the Open-Source AI Visibility Scanning Tool

AEORank is an open-source AI visibility assessment tool that scores websites from 0 to 100 across 36 dimensions, generates 9 AI-readable file formats, and supports CLI command line, GitHub App integration, and plugins for 13 mainstream frameworks. It helps website owners understand their visibility and comprehensibility in the AI ecosystem and provides optimization suggestions.

## Background: New Challenges for Website Visibility in the AI Era

With the popularity of AI conversational tools like ChatGPT, Perplexity, and Claude, the source of website traffic has changed—users now obtain answers more through AI. This raises key questions: Is the website visible in AI systems? Can AI understand the content? How often is the brand cited? AEORank was born to address these issues with a systematic evaluation framework.

## Methodology: Comprehensive Evaluation System with 36 Dimensions

AEORank's evaluation system covers 36 standards, divided into four categories: 
1. Technical infrastructure assessment: Check loading speed, mobile adaptability, SSL configuration, completeness of robots.txt/sitemap, etc.; 
2. Content structure and semantic markup: Check HTML5 semantic tags, Schema.org structured data, Open Graph protocol, etc.; 
3. AI readability analysis: Evaluate paragraph length, sentence complexity, density of technical terms, etc.; 
4. External signals and authority indicators: Check the quality of external links, domain age, SSL rating, etc.

## Evidence: Output of 9 AI-Readable File Formats

AEORank generates 9 optimized files to improve AI visibility, including: 
1. Structured data files (JSON-LD format, covering Schema types such as organization, product, article, etc.); 
2. AI-optimized summary documents (clear title hierarchy, concise paragraphs); 
3. Entity relationship graph (analyze content entities and their associations); 
4. Q&A pair generation (generate Q&A pairs in formats commonly used for AI training based on content), etc.

## Methodology: Flexible Deployment and Integration Methods

AEORank supports multiple usage methods: 
1. CLI tool: Can be integrated into CI/CD workflows, supporting local/remote scanning; 
2. GitHub App: Install to the repository, automatically scan in PRs and feedback results; 
3. Plugins for 13 mainstream frameworks: Such as Next.js, Nuxt, Django, etc., seamlessly integrate into existing projects.

## Conclusion: Practical Application Scenarios of AEORank

AEORank is suitable for multiple scenarios: 
- Content platforms: Ensure articles are understood and cited by AI; 
- E-commerce: Optimize product display in AI shopping recommendations; 
- SaaS: Improve the citation rate of technical documents in AI programming assistants; 
- Marketing teams: Scan competitors to understand industry benchmarks; 
- SEO teams: Combine with traditional SEO to develop comprehensive strategies; 
- Product teams: Scan before new feature releases to ensure AI-friendliness.

## Recommendations: Best Practices for Using AEORank

To start using AEORank: Install the CLI via npm/yarn and run commands to scan. Recommendations: 
1. Conduct the first scan to establish a baseline score; 
2. Rescan regularly (weekly/monthly) to track trends; 
3. Prioritize solving technical infrastructure issues, then gradually optimize content structure and external signals; 
4. Refer to the improvement suggestions and code examples provided by the tool for dimensions with low scores; 
5. AI visibility optimization is an ongoing process, and strategies need to be adjusted as AI technology evolves.