geo-crawlers

To check AI crawler access, you must analyze your robots.txt directives alongside page-level meta robots tags and X-Robots-Tag headers. This detects effective allow or block behavior for major AI crawlers and identifies restrictions like noindex or noai that prevent AI indexing.

Your site might be blocked by page-level meta robots tags or X-Robots-Tag headers that override robots.txt permissions. Restrictions like noindex, noai, or noimageai silently prevent content from appearing in AI search results and require a full HTTP header audit to locate.

The llms.txt file is an emerging AI-specific discoverability manifest that guides crawler behavior. You verify it by checking for its presence and usefulness on your domain, ensuring it correctly facilitates AI discovery and indexing alongside standard robots.txt configurations.

Rewriting robots.txt for AI visibility requires mapping effective crawler access and removing accidental blocks. You must generate a recommended configuration that allows major AI crawlers while ensuring no conflicting meta robots tags or X-Robots-Tag headers override the new directives.

Yes, a comprehensive robots.txt audit checks HTTP headers and meta robots tags across sample pages. Evaluating these page-level signals is critical because noindex, noai, and noimageai directives can override robots.txt and significantly reduce AI visibility.

The best way to score AI visibility is to perform a crawlability assessment that maps effective allow and block behavior for AI crawlers. This produces an actionable access map and a tiered visibility score based on robots.txt, meta tags, and HTTP header restrictions.