On this page
- Why crawler visibility is a prerequisite
- Step 1: Know which bots to look for
- Step 2: Confirm the bots are genuine, not spoofed
- Step 3: See what they crawl - and what they skip
- Step 4: Find and fix accidental blocks
- Step 5: Decide access deliberately - training vs answers
- Check who’s crawling you
- Frequently asked questions
Before an AI engine can cite your page, one of its crawlers has to fetch it. So a quiet but critical question sits underneath your whole AI-visibility effort: are the AI bots actually reaching your site - and are you accidentally shutting them out? Plenty of brands work hard on content that AI engines never see, because a robots rule or a firewall is turning the crawlers away.
This guide covers how to detect AI crawler activity, verify it’s genuine, and make sure the right bots can read you - using Visibility AI’s Website Audit.
Why crawler visibility is a prerequisite
AI answers are powered in two ways: from what a model absorbed during training, and - increasingly - from live retrieval, where the engine fetches current pages at answer time. Retrieval is the part you can most directly influence, and it depends entirely on a crawler being able to reach and read your page.
If GPTBot, ClaudeBot or PerplexityBot can’t fetch your content, you can publish the perfect answer and still never be cited from it. Crawler access is the plumbing beneath everything else - and unlike your rankings, it’s something you can check definitively.
Step 1: Know which bots to look for
Each AI provider publishes the user-agent strings its crawlers use. The ones worth watching:
- GPTBot and OAI-SearchBot - OpenAI (ChatGPT and its search).
- ClaudeBot - Anthropic.
- PerplexityBot - Perplexity.
- Google-Extended - controls Gemini and Google’s AI use.
- Applebot-Extended, Amazonbot, Bytespider - Apple, Amazon and TikTok’s crawlers.
Each behaves a little differently, and each can be allowed or blocked independently. Knowing the full list is the first step to noticing who’s missing from your traffic.
Step 2: Confirm the bots are genuine, not spoofed
Here’s the catch that trips people up: user-agent strings are trivially faked. A scraper can call itself “GPTBot” while having nothing to do with OpenAI. Counting raw user-agent hits will overstate your real AI-crawler traffic.
The reliable method is verification by IP: a reverse DNS lookup on the requesting address, checked against the provider’s published ranges. Visibility AI’s crawler tracking does this verification automatically, so the bot activity you see is the activity that’s actually from the engines - not from imposters padding the numbers.
Step 3: See what they crawl - and what they skip
Once you can see verified crawler visits, the useful view isn’t just “how many” but “which pages.” Look for:
- Coverage gaps - important pages (pricing, product, comparison content) the bots never fetch. If your best answer-worthy content isn’t being crawled, it can’t be cited.
- Frequency - how often each engine re-crawls. Stale crawling means the engine is answering from an old version of you.
- Errors - pages the bot tried to fetch but got a 4xx, 5xx or a challenge page instead of your content.
Visibility AI surfaces which pages AI crawlers reach and where they hit walls, so you can tell the difference between “not crawled yet” and “crawled but blocked.”
Step 4: Find and fix accidental blocks
This is where the quick wins live. The common culprits that silently shut AI bots out:
- robots.txt rules that disallow AI user-agents (sometimes added by a plugin or a default template without anyone realising).
- Firewall / WAF or bot-management rules (Cloudflare, security plugins, host-level protection) that serve a challenge page to datacenter IPs - which is what most AI crawlers are.
- Server-rendered gates - login walls, aggressive rate limits, or JavaScript-only content the crawler can’t execute.
The audit flags which AI user-agents your robots and server rules currently allow or block, so you can make blocking a decision rather than an accident.
Step 5: Decide access deliberately - training vs answers
Not all crawling is equal, and you don’t have to treat it as all-or-nothing. It’s reasonable to allow the crawlers that power live, cited answers (so you can be recommended) while being more selective about pure training crawlers. The point is to choose on purpose: the worst outcome is blocking the retrieval crawlers by default and quietly removing yourself from the answers you’re trying to win.
If you do want to be cited, allowing the retrieval bots and then making your pages easy to quote - covered in optimizing content for AI search - is the combination that works.
Check who’s crawling you
Run a free Visibility Check and open Website Audit to see which AI crawlers are reaching your site, which pages they read, and whether anything is turning them away. It’s the least glamorous part of AI visibility and one of the most common reasons good content never gets cited - fixing it is often the fastest gain available.
Frequently asked questions
Which AI crawlers should I look for?
The main ones are GPTBot and OAI-SearchBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, Google-Extended (Gemini/AI training), Amazonbot, Bytespider and Applebot-Extended. Each has a published user-agent string you can match in your logs.
Does blocking AI bots protect my content?
It can also make you invisible. If you block the crawlers that feed retrieval-augmented answers, engines can't read your pages to cite them. Blocking training crawlers is a separate decision from blocking the crawlers that power live answers - it's worth treating them differently.
How do I know if a bot is really who it claims to be?
User-agent strings can be spoofed. The reliable check is a reverse DNS lookup on the requesting IP against the provider's published ranges. Visibility AI's bot tracking verifies crawlers this way so you're not misled by imposters.