Check if AI crawlers and search engines can access, crawl, understand, and index your website using robots.txt, sitemap, meta robots, canonical tags, schema markup, and page response signals.
AI crawlability means how easily AI crawlers, search engines, and discovery systems can access, read, and understand your website pages.
If important pages are blocked by robots.txt, meta robots tags, broken sitemaps, incorrect canonical tags, or server issues, AI systems may struggle to discover your content.
The LLMrush AI Crawlability Checker helps you identify technical signals that may affect AI search visibility, crawl access, and content discovery.
Want to see how crawlability affects your AI visibility? Try our AI Visibility Checker to review your website across AI search platforms.
Your website has strong crawlability signals for AI discovery.
robots.txt accessible
PassSitemap detected
PassCanonical tags found
GoodSchema signals
ReviewThe LLMrush AI Crawlability Checker follows a simple process to review whether AI crawlers and search engines can access, crawl, and understand your website pages.
Enter your website URL to start a live AI crawlability check.
Review robots.txt, sitemap, meta robots, canonical tags, and page response signals.
Find blocked pages, broken discovery paths, missing signals, or confusing directives.
Receive clear actions to improve AI crawler access and search readiness.
AI search platforms need access to your website before they can understand your content, evaluate your pages, or reference your brand in AI-generated answers.
If your pages are blocked, slow, missing from sitemaps, or using confusing crawl directives, AI crawlers may not discover your most important content properly.
Strong AI crawlability helps improve content discovery, technical SEO, GEO readiness, and visibility across modern AI-powered search experiences.
Want to measure your complete AI search performance? Use our GEO Optimization Checker and AI Visibility Checker.
Robots.txt, page response, and crawl rules are reviewed.
Sitemaps, internal links, and indexability signals are checked.
Accessible content has a better chance of being understood by AI systems.
LLMrush checks the most important technical signals that help AI crawlers and search engines access, understand, and discover your website content.
If your website blocks crawlers, sends confusing directives, or hides important URLs, AI systems may fail to discover your best pages.
Checks whether AI crawlers and search bots are allowed or blocked.
Reviews whether your sitemap is available and useful for discovery.
Identifies canonical signals that guide crawlers to the preferred URL.
Checks structured data signals that help AI systems understand content.
Many websites lose AI search visibility because important pages are blocked, hidden, slow, or difficult for crawlers to access.
The LLMrush AI Crawlability Checker helps detect these issues before they affect AI discovery, search visibility, and content understanding.
These technical issues may reduce AI crawler access and content discovery.
Important pages may be restricted from AI crawlers.
Crawlers may struggle to discover key URLs.
Pages may be prevented from appearing in search systems.
AI systems may get less context about your content.
Improving AI crawlability starts with making your website easy to access, easy to understand, and technically clean for AI crawlers and search engines.
Fix blocked crawler rules
Submit a clean sitemap
Review canonical tags
Add structured data signals
Make sure important pages are not blocked by robots.txt, noindex tags, or crawler restrictions.
Add important pages to your sitemap so AI crawlers and search engines can discover them faster.
Canonical tags should point crawlers toward the preferred version of each page.
Structured data and LLMs.txt can help AI systems understand your content and important pages.
Strong AI crawlability depends on clean technical signals, accessible pages, structured content, and clear guidance for AI crawlers and search engines.
Make sure valuable pages, tools, guides, and service pages are not blocked by robots.txt or noindex tags.
Keep your sitemap updated so AI crawlers can find your most important URLs quickly.
Canonical tags should guide crawlers to the correct version of each page.
Schema markup helps AI systems understand your content type, purpose, and page context.
Your pages are accessible, discovery signals are clear, and AI crawlers can understand the website structure.
Learn how AI crawlability works, why it matters for AI search visibility, and how the LLMrush AI Crawlability Checker helps detect technical access issues.
AI crawlability means how easily AI crawlers, search engines, and discovery systems can access, read, and understand your website pages.
It checks robots.txt rules, meta robots tags, sitemap access, canonical tags, schema markup, page response signals, and other crawlability factors.
If AI crawlers cannot access your important pages, your content may be harder to discover, understand, or reference across AI-powered search platforms.
Yes. Robots.txt can allow or block crawlers. Incorrect rules may prevent AI crawlers and search engines from accessing important website content.
Yes. A clean and updated sitemap helps AI crawlers and search engines discover important URLs faster and understand your website structure better.
Improve AI crawlability by fixing blocked pages, keeping your sitemap updated, using correct canonical tags, adding schema markup, and avoiding confusing crawl directives.
They are closely related, but AI crawlability focuses more on whether AI crawlers and answer engines can access and understand your content for AI search experiences.
Yes, especially if your website depends on organic traffic, AI search visibility, content discovery, or technical SEO performance.