aeo

This Skill addresses the challenges faced by website developers and operators when performing SEO optimization, performance audits, content compliance checks, and cross-environment comparisons, which typically involve switching between multiple tools, cumbersome processes, and a lack of unified standards. In practice, developers often need to manually run Lighthouse, check structured data, generate AI visibility files (e.g., llms.txt), and compare differences between production and preview environments—a time-consuming process prone to missing critical issues.

Usage is straightforward: simply run a single npx command in the terminal, specifying the target URL and the desired mode (e.g., audit, fix, schema). You can then use natural language instructions to obtain detailed audit reports, automatically fix code issues, validate JSON-LD structured data, or generate llms.txt files to enhance AI search visibility. The entire workflow supports various scenarios, including local previews, static file audits, and branch comparisons.

It is well-suited for front-end and back-end development teams, SEO specialists, and product managers who require continuous monitoring and optimization of website quality. This is especially true for teams already using static site generators, managing multiple preview environments (e.g., Staging, branch deployments), and looking to integrate website quality checks into their CI/CD pipelines. For content creators and e-commerce operators, it also helps ensure page content complies with search engine and AI assistant crawling standards.

It is recommended to use this tool for automated audits uniformly before code merges or production releases. Note that it primarily focuses on technical SEO, performance, accessibility, and content structure aspects of websites. For in-depth business logic testing or complex visual UI testing, other specialized tools may be required. Additionally, to ensure security, always follow its parameter security guidelines and avoid directly concatenating unvalidated user input into commands.