Why knowing which AI crawlers visit your site actually matters
Most site owners obsess over Google's crawl budget and ignore everything else. That made sense three years ago. It makes less sense now, when a growing share of product discovery, brand research, and buying decisions happen inside ChatGPT, Perplexity, and Gemini rather than a traditional search results page.
If you do not know whether GPTBot, PerplexityBot, or ClaudeBot have ever touched your site, you are flying blind. You cannot optimise for something you cannot measure. And unlike Google's crawlers, AI crawlers do not always announce themselves loudly. Some site owners have blocked them accidentally through overly aggressive robots.txt rules and never noticed.
Checking which AI crawlers visit your site is a practical, 30-minute job. Here is how to do it properly.
Reading your server access logs
Your server access log is the most reliable source of truth. Every request to your server, including those from bots, gets recorded with a timestamp, IP address, requested URL, and user agent string. The user agent is the key field. That is where crawlers identify themselves.
Here are the user agent strings for the major AI crawlers you should be searching for:
- GPTBot (OpenAI / ChatGPT):
GPTBot - ChatGPT-User (used during live ChatGPT browsing):
ChatGPT-User - PerplexityBot:
PerplexityBot - Google-Extended (Gemini training data):
Google-Extended - ClaudeBot (Anthropic):
ClaudeBot - Applebot-Extended (Apple AI features):
Applebot-Extended - Bytespider (ByteDance / TikTok):
Bytespider - Amazonbot:
Amazonbot - meta-externalagent (Meta AI):
meta-externalagent
If you are on a Linux server, you can grep your access log directly. For example:
grep -i "GPTBot\|PerplexityBot\|ClaudeBot\|Google-Extended" /var/log/apache2/access.logOn Nginx the log path is usually /var/log/nginx/access.log. On shared hosting, you will typically find access logs in your cPanel under "Raw Access Logs" or similar. Download the file and open it in a text editor or run a search with a tool like Notepad++ or VS Code.
What you are looking for is evidence of visits, the frequency, and which pages they hit. A crawler visiting your homepage once six months ago is very different from one crawling your product pages weekly.
Parsing logs at scale
If your site gets significant traffic, raw log files can be enormous. Tools like GoAccess (free, open source) let you parse and visualise access logs quickly. You can filter by user agent to get a clean summary of AI crawler activity. For larger operations, feeding logs into a service like Datadog, Logtail, or Papertrail makes ongoing monitoring far more manageable.
Using Cloudflare to spot AI crawler traffic
If your site sits behind Cloudflare, you already have a powerful bot analytics tool available, and it requires no server access at all.
Log into your Cloudflare dashboard, go to Security > Bots, and look at the bot traffic breakdown. Cloudflare categorises traffic into verified bots, likely automated traffic, and human traffic. Verified bots include most of the major AI crawlers, and you can drill down into the "verified bots" category to see which specific bots are making requests.
Under Analytics > Traffic, you can also filter by bot score and user agent. This gives you a timeline view, which is useful for understanding whether AI crawler activity has increased or decreased over time.
One important note: Cloudflare's bot management features vary by plan. The detailed bot analytics are available on Pro plans and above. The free plan gives you some visibility, but it is more limited.
Checking Google Search Console and Bing Webmaster Tools
Google Search Console does not directly report on third-party AI crawlers. It will tell you about Googlebot and Google-Extended activity under the "Settings > Crawl stats" section. If Google-Extended (used for Gemini and Google's AI features) is visiting your site, you will see it in the crawl stats broken down by bot type.
Bing Webmaster Tools similarly shows you crawl activity from Bingbot. As Microsoft integrates its Copilot AI more deeply with Bing, Bingbot crawl data becomes more relevant to AI visibility than it was a couple of years ago.
Neither tool covers OpenAI, Perplexity, or Anthropic crawlers. For those, you need server logs or a third-party solution.
What to do if no AI crawlers are visiting
If you search your logs and find nothing, that is important information. There are a few likely causes.
First, check your robots.txt file. Visit yourdomain.com/robots.txt in a browser. Look for any Disallow: / rules under a wildcard User-agent: * directive. A blanket disallow blocks every bot that respects robots.txt, including AI crawlers. Some security-focused WordPress plugins and certain Shopify themes have been known to add overly broad disallow rules.
Also check for specific blocks targeting AI crawlers by name. Some site owners added these deliberately when AI training became a controversy, and then forgot about them. If you want AI visibility, those blocks need to go.
Second, consider whether your site is simply not on their radar yet. Smaller or newer sites may not have been crawled simply due to low authority or few inbound links. The solution here is to build more authority and ensure your structured data is in place so that when they do visit, your content is machine-readable and properly annotated.
For a deeper look at GPTBot specifically and how to configure access, see our post on what GPTBot is and how to let it crawl your site.
Setting up ongoing AI crawler monitoring
Checking once is useful. Monitoring continuously is better. Here are three practical ways to keep tabs on AI crawler activity going forward.
Log rotation and regular grep checks
Set a monthly calendar reminder to grep your logs for AI crawler user agents. It takes five minutes and keeps you aware of trends. If you notice a crawler that was visiting regularly has stopped, that is worth investigating.
Cloudflare firewall rules with logging
Even if you do not want to block AI crawlers, you can create a Cloudflare firewall rule that matches on their user agents and logs matching requests. Set the action to "Log" rather than "Block". This gives you a clean, filterable record of every AI crawler visit without touching your server logs at all.
Uptime and analytics tools
Some analytics platforms, including Fathom and Plausible, strip out bot traffic by default, which means they will not help here. Tools like Matomo with server-side tracking can be configured to log bot visits if you need application-level reporting rather than raw log access.
Interpreting what you find
Seeing AI crawlers in your logs is encouraging. But the raw visit data only tells part of the story. The more useful questions are: which pages are they crawling, how often, and are those pages well-structured enough to be useful to an AI model?
A crawler that visits your homepage and bounces is less valuable than one that crawls your product pages, your FAQ content, and your structured data-rich pages. If you have implemented schema markup correctly, the crawler can extract clean, structured information about your products, services, prices, and reviews. Without schema, it is doing its best to interpret unstructured HTML, which is far less reliable.
This is where AI visibility work goes beyond just "let the bots in." You want them to visit pages that are genuinely informative and properly annotated. If you are not sure how well your site performs on that front, a free AI visibility audit is a sensible starting point.
At FlinnSchema, we often find that clients have no access restrictions at all, but their pages still are not getting cited by AI engines because the underlying content structure is poor. Crawlability and citability are two different things.
A note on IP verification
It is worth knowing that some bots spoof user agents. A request claiming to be GPTBot might not actually be OpenAI's crawler. Legitimate AI crawlers publish their IP ranges, and you can verify a visit by doing a reverse DNS lookup on the IP address in your log and confirming it resolves to the crawler's documented domain.
OpenAI publishes its IP ranges at https://openai.com/gptbot-ranges.txt. Perplexity and Anthropic have similarly published their crawler details. If you are seeing high volumes of traffic claiming to be AI crawlers, it is worth spot-checking a sample of IPs to confirm they are legitimate.
This matters for two reasons. Fake bots waste crawl budget and can be a sign of scraping or malicious activity. Genuine AI crawler visits are worth tracking and potentially optimising for.
If you are thinking about AI search visibility more broadly, it also helps to understand what structured data signals these crawlers respond to. Our guide on using Article schema to get your blog posts cited by AI covers the content-side of that equation well.
Frequently Asked Questions
Which AI crawlers should I be looking for in my server logs?
The main ones to check for are GPTBot and ChatGPT-User (OpenAI), PerplexityBot (Perplexity AI), ClaudeBot (Anthropic), Google-Extended (Google Gemini), Applebot-Extended (Apple AI), Bytespider (ByteDance), and meta-externalagent (Meta AI). Search for these strings in your access log user agent field to see which have visited.
My robots.txt has a Disallow: / rule. Does that block AI crawlers too?
Yes. A Disallow: / under User-agent: * blocks all bots that respect robots.txt, including the major AI crawlers. If you want AI crawlers to access your site, you need to either remove that rule or add specific Allow directives for the crawlers you want to permit. Always review your robots.txt if you are seeing zero AI crawler activity.
Can I see AI crawler visits in Google Analytics?
Standard Google Analytics 4 filters out most bot traffic automatically, so it is not a reliable source for AI crawler data. You are much better off using your raw server access logs, Cloudflare bot analytics, or a self-hosted analytics tool configured to capture bot requests.
Does being crawled by an AI bot mean my site will appear in AI answers?
Not necessarily. Being crawled means the AI has access to your content. Whether it cites or recommends your site depends on the quality of your content, your authority signals, and how well-structured your pages are. Implementing schema markup, clear entity information, and well-organised content gives crawlers more to work with and increases your chances of being cited. Crawlability is the first step; AI readiness optimisation is what comes next.