In short: ai crawler logs show which AI bots request your pages, when they visited, and which URLs they fetched.
Where to look for crawler activity
— Check raw server or CDN access logs and search for verified user agents such as GPTBot, ClaudeBot, PerplexityBot, and other AI crawlers.
— Separate confirmed AI bot traffic from unknown bots by matching user-agent strings against the crawler’s official documentation.
— Review request paths, status codes, response sizes, and timestamps to spot pages being crawled repeatedly or served with errors.
— Use a log analyzer or server-side filter to group requests by bot, directory, and crawl frequency.
— Check bot-specific referral data in your analytics platform, but remember that many AI crawlers do not execute JavaScript or send referrer information.
— Correlate crawler activity with sitemap submissions and robots.txt rules to confirm whether each bot can access the relevant sections of your site.
Common mistakes
— Assuming every unknown bot is an AI crawler.
— Blocking all unfamiliar user agents and accidentally excluding legitimate search engines.
— Relying only on analytics reports, which may miss requests to pages that no longer exist or resources loaded outside the main site.
— Checking a single day and missing a crawler’s slower visit pattern.
Q: How can I see which AI bots are crawling my website?
A: Search your server or CDN access logs for AI crawler user agents, then verify each match against official bot documentation and group the requests by page and date.
Summary: ai crawler logs are the most reliable way to audit AI bot visits, but combine them with CDN records, analytics, and official crawler lists for a complete picture.
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Ai crawler logs: how to see which AI bots visit your site
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