Cat-AEO: AI Search Engine Visibility Audit Tool

Cat-AEO is an open-source tool designed to help website owners and marketers audit their content's visibility in AI search engines. It can simulate the citation behavior of Google AI Overview, track brand mentions in large language model responses, and address the core question of whether a website is cited in the AI search era.

With the development of AI technology, AI search tools like Google AI Overview and Perplexity AI have changed how users access information. Traditional SEO focuses on link rankings, but AI search directly generates comprehensive answers, making citations crucial—without being cited, you lose exposure opportunities. Multiple studies show that AI search may significantly change traffic patterns, and AEO (Answer Engine Optimization) has become an emerging field. Cat-AEO is exactly the tool to address this challenge.

Cat-AEO's workflow consists of three stages:

1. Content Analysis: Evaluate page structure, information density, authority signals (citations, data sources, etc.), and technical readability;
2. AI Search Simulation: Simulate the behavior of mainstream AI search systems like Google AI Overview and Perplexity AI;
3. Report Generation: Output visibility scores, improvement suggestions, and competitive comparison analysis.

Usage Flow:

1. Clone the project from GitHub and install it;
2. Enter the target URL;
3. Run the audit;
4. View the report;
5. Implement optimizations;
6. Re-audit to verify results.

Best Practices: Audit regularly (e.g., monthly), cover multiple pages, track trends, and combine with traffic data analysis.

Cat-AEO's core features include:

• AI Search Visibility Audit: Analyze the likelihood of a URL's content being cited by AI;
• Google AI Overview Simulation: Help understand how content is processed by AI systems;
• Brand Mention Tracking: Monitor whether specific brands or websites are mentioned in LLM responses.

Based on Cat-AEO audit results, the following optimization strategies can be adopted:

• Content Structuring: Use clear heading hierarchies, lists/tables to organize data;
• Information Depth: Provide detailed background, data cases, and explanations of technical terms;
• Authority Building: Cite reliable sources, label author qualifications, and display case reviews;
• Technical Optimization: Ensure page speed, semantic HTML, and structured data markup.

Future Outlook: The AEO field will develop more precise audit tools, automated optimization suggestions, real-time monitoring systems, and industry standards.

Conclusion: Cat-AEO provides a valuable tool for website owners to adapt to the AI search era. Whether you are a website owner, content creator, or marketer, mastering AEO is key to future success. Visit its GitHub repository now to start your optimization journey!