AI Crawlers: What GPTBot, PerplexityBot, and Others Do
AI crawlers like GPTBot or PerplexityBot don’t crawl the web for ranking purposes, but rather to collect training data or generate real-time responses for systems like ChatGPT. Technically, they function similarly to a traditional
What AI Crawlers Do
Like any bot, an AI crawler downloads a page’s source code and analyzes the text. Unlike traditional crawling, however, this is rarely done for ranking factors, but rather to gather raw data for a language model or to provide an immediate, specific answer to a user’s question.
Warning: Many AI crawlers only partially respect robots.txt or use multiple user agents simultaneously; therefore, a single entry is often not enough to maintain complete control.
Some of these bots collect training data exclusively for future model versions, while others retrieve fresh content with every user query to generate an up-to-date response. This difference also determines how quickly your own content appears in responses and how long outdated information remains there without being automatically corrected when the page is refreshed.
- GPTBot collects data for OpenAI
- PerplexityBot retrieves content in real time
- Google Extended Affects Gemini Training
- ClaudeBot crawls for Anthropic models
Difference from Traditional Search Engine Crawlers
Googlebot crawls to include a page in an index for the search results. AI crawlers, on the other hand, draw either from a training corpus or a single, instantly generated response, without maintaining their own search index in the traditional sense. This lack of an index structure makes it even more difficult to reliably measure a site’s visibility to AI crawlers at all.
For website operators, this means double the work when it comes to management: A robots.txt rule for Google does not automatically apply to all AI crawlers, since each provider uses its own user agents and rules, which can also change on an ongoing basis. A list of allowed or blocked bots, once created, must therefore be regularly reviewed and updated—a task that has now become an integral part of every GEO agency’s work.
- Googlebot populates a search index
- AI crawlers feed models or responses
- Every bot needs its own rules
- Control requires ongoing maintenance
Control Visibility to AI Crawlers
If you want to appear in AI responses, you must actively allow AI crawlers; if you don’t want that, you must specifically block them. Both options are possible via the robots.txt file, but they require a conscious decision rather than a default setting, because a blanket block automatically excludes your own visibility in AI responses—even if that wasn’t your intention at all.
- Enabling Greater AI Visibility
- Blocking to Protect Your Own Content
- Regularly Check the robots.txt File
- New bots are constantly appearing
Identifying AI Crawlers in Server Logs
Server logs reliably show which AI crawlers are actually visiting a site, regardless of what is allowed or blocked in the robots.txt file. Regularly reviewing these logs reveals whether new bots are appearing or whether known crawlers have changed their visit frequency—which is often an early indicator of growing AI visibility. Without this monitoring, any assessment of your own AI visibility ultimately remains mere speculation.
- Identifying the User-Agent in the Log
- Track Visit Frequency Over Time
- Conducting Targeted Research on Unknown Bots
- Adjust the rules as needed
Step-by-Step Guide to Configuring an AI Crawler in robots.txt
If you want to control AI crawlers in a targeted manner, you shouldn’t limit yourself to a single blanket rule; instead, you should create a separate entry for each relevant bot. First, it’s worth taking stock: Which user agents actually appear in your server logs, and which of them should be granted access in the future? Only then should you proceed with the actual configuration of the robots.txt file, using individual blocks for each bot.
It’s also important to actually test the changes after they’re published—for example, using the testing tools in Search Console or by checking the logs again after a few days. This is the only way to determine whether a bot is actually following the new rule and whether its behavior has changed as intended.
It also makes sense to apply more granular restrictions on a per-directory basis rather than a single rule for the entire domain—for example, if you want to specifically allow access to a blog section while consistently blocking an internal customer portal. Some AI crawlers also ignore the “crawl-delay” field, which is why the actual access frequency can only be reliably monitored via the logs, not via robots.txt alone.
- Check the server log for existing bots
- Create a separate block for each user agent
- Test Rules After Publication
- Check the results after a few days
AI Crawlers and Your Own Sitemap Working Together
A well-maintained XML sitemap not only helps traditional search engines but also makes it easier for some AI crawlers to find up-to-date content—assuming the bot in question takes it into account at all. If you’re not yet familiar with setting up a sitemap, you’ll find the technical basics in an introduction to Webmaster Tools Basics. It’s also helpful to understand what it means when a page has been crawled, as this fundamental concept also helps in interpreting AI-specific bot behavior.
If there is no up-to-date sitemap or if it contains outdated URLs, AI crawlers will also waste resources on pages that are no longer relevant, instead of quickly indexing new or updated content. Regularly maintaining your sitemap therefore pays off twice over—both for traditional search rankings and for your visibility in AI-generated responses.
One detail that’s often overlooked is the date of the last update in the sitemap: If this field is filled out correctly, bots can more quickly identify which pages have actually changed since their last visit, rather than having to check every URL in its entirety again. This small technical adjustment is especially worthwhile for glossary pages that are updated frequently.
- The updated sitemap makes it easier to find what you’re looking for
- Outdated URLs waste resources
- Maintenance Benefits SEO and AI
- Understanding the Basics of Crawling
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