En

aeo

An all-in-one website SEO and performance auditing tool, supporting multiple audit modes and automated fixes.

Install & Use

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Help me install this AI Skill: aeo.
It is used for: An all-in-one website SEO and performance auditing tool, supporting multiple audit modes and automated fixes.
Full Skill content: https://321skill.com/skills/aeo-x-3/raw/index.md
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This Skill addresses the cumbersome process where website developers and SEO professionals have to manually integrate various tools (such as Lighthouse, structured data validation, and SEO checks) when optimizing website visibility, performance, and code quality. In real-world development, developers often need to perform repetitive audits for different scenarios like production environments, preview branches, and static build outputs, generating actionable fix recommendations—a process that is time-consuming and prone to missing critical issues.

Usage is straightforward: simply run npx @ainyc/aeo-audit@1 "<url>" in the command line with the appropriate mode and parameters. You can then obtain an overall score, issue breakdown, and fix suggestions from the JSON-formatted report. Utilize its fix mode to automatically apply code changes, or use the llms mode to generate an llms.txt file for optimizing AI search visibility, enabling an all-in-one auditing and optimization workflow.

It is well-suited for teams or individuals who need continuous monitoring and improvement of technical SEO, front-end performance, and code compliance. This is especially true for developers who have already adopted CI/CD pipelines and want to automatically block AEO (AI Engine Optimization) or SEO regressions before code merges, as well as for scenarios requiring audit reports for static sites, local previews, or private branches.

It is recommended to use this tool uniformly before project launch, when feature branches are merged into the main branch, or for regularly monitoring competitor website performance. Note that it primarily interacts with developers via the command line and JSON output, which presents a learning curve for users unfamiliar with terminal operations. Additionally, audit depth and speed are affected by the target website's scale and network conditions.

Key Features

Unlike traditional single-function SEO auditing tools (e.g., Lighthouse CLI), it integrates AEO auditing, preview branch comparison, static site offline analysis, sitemap rewriting, automated fixes (`fix` mode), `llms.txt` generation, and various other workflows into a single solution. It can also be directly integrated into CI pipelines as a quality gate using parameters like `--require-meta`.

Limitations

The tool relies on a Node.js environment (run via npx). Its functionality is limited when auditing dynamic websites or pages requiring login. Auditing large-scale sites (e.g., full sitemaps) may be time-consuming and generate significant network load.

FAQ

How can I integrate AEO auditing into a CI/CD pipeline?

Use the command `npx @ainyc/aeo-audit@1 "<url>" --format json --require-meta`. If the audit fails (e.g., missing critical meta tags), the command returns a non-zero exit code, causing the CI process to fail.

Can it audit a local development server or built static files?

Yes. Use `audit http://localhost:3000 --allow-local` to audit a local server, or use `audit ./out` (static output mode) to directly audit a directory of built HTML files.

Installation guide for AI assistants

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Visit https://321skill.com/skills/aeo-x-3/raw/index.md to read the original Skill definition (Markdown format) for aeo, and install it according to the instructions.