How to check if AI crawlers can access your website

What does it mean for an AI crawler to access your website?

An AI crawler can access your website when its automated requests reach your pages and receive a normal, readable response instead of a block, error or login wall. In practice, that means the server returns the page content, usually with a 200 status code, and the crawler is allowed to read it.

Access has two parts. Permission is what your robots.txt file and meta directives say the crawler may do. Reachability is whether your server, firewall, CDN or login settings actually let the request through. A site can allow a crawler on paper and still block it in practice.

Our AI search (AEO/GEO) articles cover why this matters for visibility in AI answers.

Not every AI bot does the same job, so access is not one yes-or-no setting.

Training crawlers vs. search and retrieval crawlers

• Training crawlers collect content to build or improve AI models. Blocking them limits future model training use, not live answers.
• Search and retrieval crawlers index or fetch pages so an AI product can cite or summarize them in answers.
• Each vendor typically publishes its own user-agent names, so you can set separate rules per bot.

User-triggered fetchers

A user-triggered fetcher is a request made when a person asks an AI tool to open a specific URL. Vendors handle these differently, and some may not follow robots.txt the way scheduled crawlers do, so check each vendor's documentation.

Why should you check AI crawler access?

Checking matters because a site that blocks AI crawlers, on purpose or by accident, may be left out of AI-generated answers, and the choice should be deliberate. Many owners never decide either way. The outcome is set by a default somewhere in their stack.

AI crawler access is worth testing now because the settings that control it are usually written once and forgotten. A short check turns an unknown into a documented decision.

Visibility in AI answers and citations. AI assistants and AI search features typically draw on content their crawlers can fetch. If a crawler is refused, your pages may not be used as a source or cited, even when they rank well in classic search. Whether that matters depends on how your customers search.

Blocking by accident through defaults. Access is often blocked without anyone choosing it. Common causes include:

• A robots.txt file copied from a template or older site
• Security or bot-protection settings that challenge unfamiliar crawlers
• Hosting or CDN rules that rate-limit or deny automated requests
• A CMS plugin with a one-click option to block AI bots

Some businesses do want to block certain crawlers, for example to protect paid content. That is a valid choice. The aim of the check is to make sure the rule you have matches the rule you intended. See more in our AI search (AEO/GEO) articles.

How do robots.txt rules control AI crawler access?

The robots.txt file at your domain root tells crawlers which paths they may fetch, using user-agent groups with allow and disallow lines that well-behaved crawlers follow. It is a request, not a lock. Crawlers that ignore the standard can still reach public URLs.

Open yourdomain.com/robots.txt in a browser. If it returns a 404, crawlers generally treat the whole site as allowed.

• User-agent: names the crawler a group applies to, such as a specific AI bot, or * for all crawlers.
• Disallow: lists a path the named crawler should not fetch.
• Allow: permits a path inside an otherwise disallowed folder.
• Blank Disallow: means nothing is blocked for that group.

A crawler follows the most specific user-agent group that matches its name and ignores the rest. So a rule under User-agent: * does not apply to a bot that has its own named group. Check each AI crawler you care about against its own group.

Wildcard rules block more than intended when the pattern is broader than the page you meant to hide. Disallow: / blocks the entire site for that group. Disallow: /blog blocks every path that begins with /blog, including /blog-archive and /blog/guides. Patterns using * can match query strings or file types you still want read.

A common mistake is a staging-site rule, Disallow: / under User-agent: *, that gets copied to the live site. Review the file after every site launch or migration.

How do you check AI crawler access step by step?

Check access by reading robots.txt, inspecting meta robots and X-Robots-Tag headers, requesting a page with a crawler user-agent, and confirming the crawler's visits in your server logs. Each step tests a different layer, so a pass on one does not prove the others are clear.

Start with the rules a crawler reads before it fetches anything.

1. Open yourdomain.com/robots.txt and look for Disallow rules under the AI crawler names you care about, plus any blanket rule under User-agent: *.
2. View a page's source and search for a meta robots tag containing noindex or nosnippet.
3. Inspect the HTTP response headers for an X-Robots-Tag directive, which can apply to pages and files without appearing in the HTML.
4. Request a page using a crawler's user-agent string and compare the response with a normal browser request.
5. Search your server logs for the crawler's user-agent and check the status codes returned.

For the user-agent test, a command-line tool such as curl can send a custom user-agent header. A 200 status means the page was served. A 403, 429 or a challenge page suggests a firewall, CDN or bot-protection rule is blocking the request.

Server logs show what crawlers actually did. Look for the crawler's name, the pages requested and the status codes. No entries can mean the crawler has not visited yet, or that a rule upstream stopped it. Your host or developer can export the logs if you cannot reach them directly.

Which layers can block AI crawlers, and how do they compare?

Blocks can sit in robots.txt, page-level tags, a CDN or firewall, authentication, or client-side rendering, and each differs in how it is set, how to spot it and how to fix it. Checking only one layer is the most common reason a site looks open but still cannot be read.

Start with the cheapest checks, robots.txt and page source, then move to logs and rendering. Firewall blocks are the easiest to miss because the site loads normally in your own browser.

If you want a second pair of eyes on these layers, contact our team and we can include them in a site audit.

What should you watch for when AI crawlers are blocked or fail?

Watch for firewall rules returning 403 or challenge pages, content that loads only through JavaScript, and fake user-agents that make a user-agent test look more reliable than it is. Each problem can hide behind a clean robots.txt file, so check them separately.

Bot protection returning 403 or challenge pages. A web application firewall or CDN bot setting can answer unfamiliar crawlers with a 403 status, a CAPTCHA or a "checking your browser" page. The crawler receives no real content, yet your site looks fine in a browser. Look for 403, 429 or challenge responses in your server or CDN logs.

Content only visible after JavaScript runs. Many crawlers fetch the raw HTML and do not run scripts. If your headings, product details or body text appear only after rendering, the crawler may see an empty shell. Compare the page source with the rendered page to spot the gap.

Spoofed user-agents. Anyone can send a request that claims to be a known AI crawler. A curl test with a crawler's user-agent string may pass, while the real bot is blocked by IP-based rules. Verify real crawler traffic against the IP ranges that operators publish, where they do so.

• Test with the same response you see in server logs, not only a browser.
• Re-test after any firewall, CDN or theme change.
• Treat a passing user-agent test as a hint, not proof.

If you want help reading logs or firewall settings, contact our team.

What is a checklist for AI crawler access?

A short numbered checklist covers robots.txt review, page-level directives, status codes, firewall settings, rendered content, sitemap availability and log confirmation, repeated after major site changes. Each item maps to a layer that can block an AI crawler, so a pass takes you from policy to proof.

1. Robots.txt: confirm the file loads at the site root and that user-agent rules match the AI crawlers you want to allow or block.
2. Page-level directives: check meta robots tags and X-Robots-Tag headers for noindex settings on key pages.
3. Status codes: confirm important URLs return 200 and redirects resolve in one or two hops.
4. Firewall and CDN: review bot protection, rate limits and country rules that may return 403 or challenge pages.
5. Rendered content: view the page without JavaScript to see whether main text and links still appear.
6. Sitemap: confirm the XML sitemap loads, lists current URLs and is referenced in robots.txt.
7. Logs: look for crawler user-agents in server logs and note the status codes they received.

Run the list quarterly and after any site change, such as a migration, a redesign, a new CDN or a security plugin update. Record the date and outcome of each pass so changes are easy to trace.

If you would rather have a specialist run the checks, contact our team and we can include them in a site audit.

What should you do after you check AI crawler access?

After checking, decide which AI crawlers you want to allow, update the relevant rules, retest, and keep a record so future changes do not undo the decision. The check only shows the current state. The follow-up makes that state intentional.

Decide which crawlers to allow. Start with your goals. If you want your content to be cited in AI answers, allow the crawlers that fetch pages for those answers. If you want to limit use of your content for model training, block those crawlers specifically. Training crawlers and answer-retrieval crawlers are often separate, so one blanket rule rarely fits both.

• Name each crawler you allow or block, and the reason.
• Apply the change in the right layer: robots.txt, firewall, CDN or server.
• Retest with the same method you used for the first check.
• Confirm that key pages return a normal response and readable content.

Document and monitor changes. Keep a short log with the date, the rule changed, who approved it and the test result. Developers, hosting providers and security plugins often change bot rules without notice, so a record lets you spot what undid a decision.

Recheck after site migrations, CDN or firewall updates and robots.txt edits. A monthly or quarterly review is a sensible habit, depending on how often your site changes. If you want help, our team can run the check and set up the rules; you can contact us, or read more in our AI search (AEO/GEO) articles.