Audit AI-generated articles for factual accuracy, original value, and a natural voice. Suggest revisions grounded in original research or experience, and inspect rendered HTML, metadata, and response headers to identify issues in search-facing pages.
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.
Review the instructions the agent will receive before you install.
Search engines prioritize helpful, reliable, people-first content; unedited AI content often lacks the depth and accuracy required for high rankings.
Review the content to see if it provides unique value beyond what AI models can generate by default.
Rewrite AI-generated sections to include original research, personal experiences, and a unique brand voice.
Explain why human oversight is necessary for AI-generated content to meet SEO quality standards and user expectations.
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.
For full implementation details, code examples, and framework-specific guidance,
see references/rule.md.
Rule page: https://frontendchecklist.io/rules/seo/ai-content
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Create and review custom 404 pages that help visitors recover from broken or moved links through search and navigation. Check the rendered page and HTTP response so missing content returns a proper 404 status.
Audit or create a dedicated About page that explains a website’s purpose and identifies its people or organization. Review the rendered output and supporting information, including expertise and contact details, to find gaps.
Review and add automated accessibility checks for components, pages, and continuous integration workflows. Use axe-based tools to detect structural and attribute issues, while identifying checks that still need keyboard or screen reader testing.
Review sign-in, registration, multi-factor authentication, and account recovery for accessibility barriers. Find blocked paste, difficult code entry, and inaccessible backup methods, then suggest authentication paths that support password managers, autofill, or device approval.
Review form errors, success messages, and live updates so screen reader users receive important notifications. Check the HTML delivered to the browser, announcement settings, display duration, and dismissal controls, then identify specific elements that need changes.
Review HTML tables so screen reader users can understand how headers and data relate. Check header markup, table descriptions, and merged cells, then identify specific fixes and ways to verify them.