AI crawlability checker.

AI crawlability refers to how easily AI platforms like ChatGPT, Gemini, and Perplexity can access, read, and understand your website content. It encompasses heading structure, semantic HTML, structured data, and crawl directives that determine whether LLM crawlers can efficiently extract and index your content.

LLM crawlers have limited crawl budgets and different priorities than traditional search engine bots. If your site is difficult for AI crawlers to parse, they may skip your content entirely or misunderstand its context. Good AI crawlability ensures your content is accurately represented in AI-generated answers.

Traditional SEO crawlability focuses on Googlebot and similar search engine crawlers. AI crawlability targets LLM-specific crawlers like GPTBot, Google-Extended, and PerplexityBot, which have different parsing behaviours, different content preferences, and different signals they use to evaluate and extract content.

Focus on clean heading hierarchy, semantic HTML elements (article, section, nav, aside), comprehensive structured data via JSON-LD, and clear crawl directives. Remove unnecessary JavaScript rendering barriers, ensure content is accessible without client-side rendering, and use schema markup to provide explicit context for AI systems.