Crawler Vision analyzes a URL against more than 50 technical and AI-readiness signals, covering crawlability, on-page metadata, schema markup, llms.txt and ai.txt presence, and local SEO — and rolls the results into a single Crawler Vision Score (CVS). Its SPIDER rendering engine simulates how modern crawlers process JavaScript-heavy sites built on React, Vue, or Angular, and its LLM visibility check reports whether ChatGPT, Gemini, Perplexity, and Grok actually surface your brand. The result is a prioritized, exportable report instead of a guess.

• Pre-launch site audit — check a new site or redesign for crawlability issues before it goes live.
• Diagnosing a traffic drop — figure out if a ranking or indexing drop is caused by a technical issue (broken robots.txt, blocked bots, crawl errors).
• JavaScript framework check — confirm a React, Vue, or Angular site actually renders content for search engines, not just for browsers.
• AI search visibility — check whether ChatGPT, Gemini, Perplexity, or Grok already know a brand exists, ahead of “AI search” or “answer engine” strategy work.
• Agency client reporting — SEO agencies running audits for clients and exporting a shareable report instead of building one manually.
• Competitor benchmarking — run a competitor’s URL to see their CVS and compare technical SEO posture.
• Local business SEO check — verify local schema, NAP consistency, and hreflang for multi-location or international businesses.
• Preparing for llms.txt / ai.txt adoption — confirm the right AI-access files are present as more sites adopt them.
• Migration QA — after a CMS migration or replatform, verify structured data and meta tags survived the move.
• Content team structuring guidance — use AIO readiness scoring to guide how content should use headings, FAQ schema, and semantic HTML