# AI Content Review

Reviews and refines AI-generated page content for quality and accuracy.

- Repository: https://github.com/thedaviddias/Front-End-Checklist (74621 stars)
- Category: Writing
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add thedaviddias/Front-End-Checklist --skill ai-content -g -a claude-code -y`
Codex: `npx skills add thedaviddias/Front-End-Checklist --skill ai-content -g -a codex -y`
Cursor: `npx skills add thedaviddias/Front-End-Checklist --skill ai-content -g -a cursor -y`
Gemini CLI: `npx skills add thedaviddias/Front-End-Checklist --skill ai-content -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add thedaviddias/Front-End-Checklist`

## Description

Use when auditing metadata, crawlability, structured data, or indexability related to Audit and refine AI-generated content. Verify the rendered HTML and HTTP response rather than relying only on source files.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Audit and refine AI-generated content

Search engines prioritize helpful, reliable, people-first content; unedited AI content often lacks the depth and accuracy required for high rankings.

## Quick Reference

- Review AI-generated content for accuracy, unique value, and human-like voice
- Ensure content isn't just a rewrite of existing top-ranking articles
- Verify all factual claims and include original research or insights

## Check

Review the content to see if it provides unique value beyond what AI models can generate by default.

## Fix

Rewrite AI-generated sections to include original research, personal experiences, and a unique brand voice.

## Explain

Explain why human oversight is necessary for AI-generated content to meet SEO quality standards and user expectations.

## Code Review

Review metadata generation, rendered HTML, structured data, and response headers related to Audit and refine AI-generated content. Flag exact routes or templates where search-facing output violates the rule, and describe how to verify the final page output.

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For full implementation details, code examples, and framework-specific guidance,
see `references/rule.md`.

Rule page: https://frontendchecklist.io/rules/seo/ai-content