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geo-score: One-Click Detection of Website AI Visibility, A New Tool for GEO Optimization

geo-score is an open-source GEO (Generative Engine Optimization) scoring tool that quickly evaluates a website's visibility in AI systems like ChatGPT, Claude, Perplexity, and Gemini via CLI, generating a comprehensive score from 0 to 100 and a detailed PDF report.

GEO生成式引擎优化AI搜索ChatGPTClaudePerplexityGeminiSEOllms.txt结构化数据
Published 2026-04-02 22:09Recent activity 2026-04-02 22:20Estimated read 5 min
geo-score: One-Click Detection of Website AI Visibility, A New Tool for GEO Optimization
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Section 01

geo-score: One-Click Detection of Website AI Visibility, A New Tool for GEO Optimization

In the AI search era, traditional SEO is no longer sufficient to ensure a website is discovered. geo-score is an open-source GEO (Generative Engine Optimization) scoring tool that quickly evaluates a website's visibility in AI systems like ChatGPT, Claude, Perplexity, and Gemini via CLI, generating a comprehensive score from 0 to 100 and a detailed PDF report to help websites improve their AI visibility.

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Section 02

Background and Importance of GEO: An Inevitable Need in the AI Search Era

GEO is an extension of SEO that addresses the problem of "how to get AI assistants to reference content". With the popularity of AI search, users directly obtain AI-generated answers; if content is not included in AI knowledge bases, it remains invisible. The core of GEO optimization includes AI-friendly strategies such as AI crawler access, llms.txt configuration, and structured data improvement.

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Section 03

Overview of the geo-score Tool: A Zero-Threshold Quick Diagnosis Solution

geo-score is an open-source CLI tool based on Node.js. No installation is required; it can be run via npx geo-score https://your-website.com, generating a score and PDF report in seconds. It features zero configuration and quick diagnosis, making it suitable for webmasters and developers to quickly understand the current state of their website's AI visibility.

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Section 04

Detailed Explanation of the Six Scoring Dimensions of geo-score

The scoring system covers six dimensions:

  1. AI Citatability (25 points): Checks paragraph structure, factual statements, etc.
  2. AI Crawler Access Permissions (20 points): Detects whether robots.txt allows access by GPTBot and others.
  3. Schema.org Structured Data (15 points): Evaluates the quality of JSON-LD tags.
  4. llms.txt Configuration (15 points): Checks the existence of the file and key information.
  5. Meta/OG Tags (10 points): Evaluates metadata completeness.
  6. Readability (15 points): Evaluates content readability via Flesch score and others.
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Section 05

Scoring Levels and Output Options of geo-score

The scoring levels are divided into five grades: 80-100 (Excellent), 60-79 (Good), 40-59 (Needs Improvement), 20-39 (Poor), 0-19 (Critical). Output options are flexible: default is terminal + PDF; --no-pdf for terminal only; --json is suitable for CI/CD integration; it can also be used as a Node.js module for automated workflows.

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Section 06

Limitations of geo-score and Advanced Recommendations

geo-score is a quick diagnosis tool and cannot replace a comprehensive GEO audit. Advanced needs require professional tools (such as platform difference analysis, competitor comparison). The AI field changes rapidly, so the scoring algorithm needs community maintenance and updates. It is recommended to combine professional services and continuously pay attention to GEO optimization.

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Section 07

Conclusion: The Starting Point of GEO Optimization and Future Competitiveness

geo-score lowers the entry threshold for GEO; it is a self-audit tool and integration component. In the AI-reshaped search ecosystem, AI visibility is a must. The tool is open-source (MIT license) and can be extended on GitHub. It is recommended to immediately start evaluation with npx geo-score https://your-website.com to maintain the website's future competitiveness.