AI Crawler Log File Analyzer

Upload a server access log and see which AI crawlers visit your site, which pages they request and which requests fail. Runs in your browser.

Use this free AI crawler log file analyzer to see which AI bots visit your site. Upload your server access log or paste a few lines. The tool counts requests from GPTBot, ClaudeBot, PerplexityBot and more, and it runs in your browser, so your log never leaves your device.

Free AI crawler log file analyzer

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What is an AI crawler log file analyzer?

A log file analyzer reads the record your web server keeps of every request. Each line shows the time, the page, the response code and the user agent. Moreover, the user agent names the client, so you can tell a human browser from a bot.

This tool filters that record for AI crawlers. Consequently, you learn which assistants read your content, which pages they favor and which requests fail. Analytics tools miss this data, because bots do not run JavaScript.

How to use the log file analyzer

  1. Download your access log from your host, or copy a few hundred lines.
  2. Upload the file or paste the lines into the tool.
  3. Read the summary cards for total requests and AI share.
  4. Check the crawler table for each bot and its response codes.
  5. Review the most requested URLs and fix the ones that return errors.
  6. Download the CSV to track changes over time.

Large files work too. The tool reads them in small pieces, so your browser stays responsive.

Which AI crawlers does it detect?

The analyzer recognizes more than 25 crawlers. It groups them by purpose, because each purpose calls for a different decision.

  • Training bots such as GPTBot, ClaudeBot and CCBot collect content for model training.
  • Search bots such as OAI-SearchBot and PerplexityBot index pages for AI answers.
  • User-request bots such as ChatGPT-User and Claude-User fetch a page when a person asks.
  • Search engines such as Googlebot and Bingbot appear in the table but not in the AI total.

How to read log file analyzer results

Start with the share of AI requests. A high share means assistants already read your content. However, a low share is normal for a new site. In that case, publish more and check again in a few weeks.

Next, look at the response codes. Many 4xx codes mean bots follow broken links. Similarly, 5xx codes mean your server fails under crawler load. Therefore, fix those first, because a crawler that meets errors visits less often.

Finally, compare the purposes. If training bots dominate, decide whether you want that traffic. You can control access with robots.txt rules and, additionally, describe your best pages in an llms.txt file.

What to do after you analyze your log

Use the findings to act, not just to observe. First, check your current rules with the AI visibility checker, which tests robots.txt access for 13 crawlers. Then, add structured data with the schema markup generator so assistants understand your pages.

Furthermore, repeat the analysis each month. A rising count from search and user-request bots is a good sign. Consequently, you can link crawler activity to the pages you improve.

Limits you should know

Logs show requests, not citations. A bot visit does not prove that an assistant will mention your site. In addition, user agents can be faked, so verify key findings against published IP ranges. Some tokens, such as Google-Extended, only set permissions and never appear in a log.

Further reading

Each company documents its crawlers. Therefore, read the official pages before you block or allow a bot. Additionally, remember that rules in robots.txt are voluntary for crawlers.

Questions

What is a log file analyzer?

A log file analyzer reads your server access log and summarizes who requested which pages. This one focuses on AI crawlers. Consequently, you see which bots from OpenAI, Anthropic, Perplexity and others visit your site, and how often.

Where do I find my server access log?

Most hosts offer raw access logs in the control panel. Alternatively, Apache and Nginx servers store them as access.log files. Ask your host for the file if you cannot find it. Furthermore, a CDN such as Cloudflare can export request logs.

Does my log file get uploaded?

No. The analyzer reads the file in your browser and sends nothing to our servers. As a result, you can analyze logs that contain visitor IP addresses without sharing them.

What is the difference between GPTBot and ChatGPT-User?

GPTBot collects content that may train OpenAI models. In contrast, ChatGPT-User fetches a page when a person asks ChatGPT to open it. Therefore, the second bot signals real user interest, while the first signals training collection.

Why does a bot not appear in my log?

The bot may not have visited yet, or your log may cover too short a period. Additionally, some tokens such as Google-Extended and Applebot-Extended only control permissions. They never appear as a user agent in a log.

Can a user agent be faked?

Yes. Any client can claim to be GPTBot. Nevertheless, most real crawlers publish IP ranges you can check. Therefore, verify important findings before you block or allow a bot.

Which log formats does the tool read?

It reads the Apache and Nginx combined log format, which most servers use by default. Moreover, it skips lines it cannot parse and reports how many it skipped.