LLM crawlability — how AI bots actually index your website.
AI search indexing does not work like Google. ChatGPT, Claude, Gemini, and Perplexity bots crawl differently, extract differently, and fail differently. This guide explains AI bot crawling behavior in production and how to fix the most common crawlability gaps.
What LLM crawlability means
LLM crawlability is the degree to which AI bots can discover, fetch, parse, and extract structured facts from your website. It is a stricter standard than traditional SEO crawlability because LLMs do not just index pages — they extract entities, relationships, and citations to use in generated answers.
Which AI bots actually crawl your site
GPTBot and OAI-SearchBot (OpenAI / ChatGPT), ClaudeBot and Claude-Web (Anthropic), Google-Extended (Gemini training) and Googlebot (AI Overviews), PerplexityBot, and CCBot (Common Crawl). Empirical research across 5 million AI bot requests shows machine-readable pages achieve +12% extraction success, +17% crawl depth, and +13% crawl rate. See the data in what makes brands stand out in AI search.
Common LLM crawlability failures
JavaScript-rendered content that AI bots cannot execute, robots.txt over-restriction, missing JSON-LD entities, no AI sitemap, unstable canonicals, and slow first-byte responses.
How to improve AI search indexing
Allow AI bots in robots.txt, publish JSON-LD on every page, render critical facts in HTML (not JavaScript), publish a dedicated AI sitemap, stabilize canonical URLs, and add machine-readable endpoints. For the full optimization workflow, see how to optimize your website for AI search.
Audit your site with the free GEO Checker.