Claude Rank

Features

• AI search optimization audit
• Content optimization for ChatGPT, Perplexity, Google AI Overviews
• Automated generation of robots.txt, sitemap.xml, llms.txt, and JSON-LD
• Comprehensive 10-scanner audit covering SEO, AI discoverability, performance, and security
• Competitive X-Ray analysis against competitor sites

Use Cases

• Auditing a website's readiness for AI search engines
• Fixing issues that block AI crawlers
• Improving content structure for AI extraction and citation
• Ensuring a site is visible and well-represented in AI search results

Non-Goals

• Replacing a full SEO strategy, link building, or content marketing
• Performing real-time AI search result monitoring
• Acting as a generic website crawler without specific SEO/AI focus

Workflow

1. Phase 1: Scan project directory or URL.
2. Phase 2: Report findings grouped by AI Bot Access, Structured Data, Content Structure, and Discoverability.
3. Phase 3: Fix issues by updating robots.txt, generating llms.txt, Organization/Person schemas, rewriting headers, and adding TL;DR patterns.
4. Phase 4: Verify fixes by re-running the scanner and comparing scores.
5. Phase 5: Submit fixes to Google Search Console and Bing Webmaster Tools, then monitor AI search results.

Practices

• AI Search Optimization
• Technical SEO
• Content Structure Analysis
• Web Performance Auditing
• Schema Markup Generation

Prerequisites

• Node.js >= 18
• ESM environment