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ai-search-technical-auditor

Audit HTML, meta tags, schema markup, robots.txt, and llms.txt for AI crawler indexing.

Updated Dec 29, 2020
Search Tags:#frontend#schema#HTML#llms-txt#meta-tags#ai-audit#robots-txt
One-click install
npx skills add https://github.com/ihmissuti/kimmoihanus-nextjs-site --skill ai-search-technical-auditor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-search-technical-auditor
Source: https://github.com/ihmissuti/kimmoihanus-nextjs-site/tree/main/.cursor/skills/ai-search-technical-auditor
Command: npx skills add https://github.com/ihmissuti/kimmoihanus-nextjs-site --skill ai-search-technical-auditor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers ensure AI crawlers can accurately discover and index web pages by auditing HTML structure, meta tags, and schema markup.

Core Features & Use Cases

  • Audit HTML semantics and accessibility for AI understanding
  • Verify meta tags, Open Graph data, and canonicalization for reliable indexing
  • Validate robots.txt and llms.txt configurations to align with AI requirements

Quick Start

Run the ai-search-technical-auditor against a representative page to verify semantic HTML, meta tags, schema markup, and crawler configuration.

Frequently Asked Questions about ai-search-technical-auditor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit HTML pages for AI crawlers to ensure proper content indexing?▼

You audit HTML pages for AI crawlers by validating semantic HTML structure, descriptive meta tags, canonical URLs, and JSON-LD schema markup to ensure AI crawlers can accurately discover and index content.

What is llms.txt configuration and when do I need it for AI search indexing?▼

llms.txt configuration is a file standard that guides AI crawlers. You need it alongside robots.txt to align marketing, product, and documentation pages with AI indexing requirements.

How do I validate schema markup and meta tags for AI search discoverability?▼

You validate schema markup and meta tags for AI search discoverability by checking for safe, standards-compliant JSON-LD where applicable, verifying Open Graph data, and ensuring correct canonicalization across pages.

Does this AI audit check robots.txt and semantic HTML for marketing and documentation pages?▼

Yes, this AI audit checks robots.txt and semantic HTML across marketing, product, and documentation pages to verify accessibility, correct crawler configurations, and AI content understanding.

What's the best way to ensure AI crawlers understand my front-end page structure?▼

The best way to ensure AI crawlers understand front-end page structure is to audit HTML semantics and accessibility, verifying that meta data and schema markup meet standards-compliant AI discovery requirements.

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