How to check whether a page can be crawled for AI search optimization?

If a page cannot be crawled, AI search services may have difficulty discovering its content. Follow these practical AI search optimization steps to check everything from crawl permissions to page responses and promptly resolve indexing obstacles.

Start by confirming which crawler the target platform uses, then check the response status, robots.txt, page source, and indexing status in order. Successful crawling is only the first step toward discovery; it does not guarantee that a page will be indexed or cited in an AI-generated answer.

Step 1: Identify the pages and target crawlers to check

First, list the URLs you want to gain search visibility, such as product detail pages, industry solution pages, and English-language blog posts. Record each complete URL, including the protocol, domain, path, and parameters, so you don't check only the homepage and overlook pages that actually generate leads.

Different platforms use different crawlers, and a single platform may distinguish between search and model-training purposes. For example, OpenAI's OAI-SearchBot is used for search-related crawling, while GPTBot primarily crawls content that may be used to train models.

If your focus is Google Search and its AI search features, check Googlebot's access as well. Crawler names and purposes may change, so consult the relevant platform's official documentation before adjusting your rules.

Step 2: Check whether robots.txt blocks access

Open robots.txt in the root directory of the target website in a browser, for example, https://example.com/robots.txt. Check for rules that disallow access to the target crawler or all crawlers, and verify which paths the rules cover.

For example, Disallow: / under User-agent: * blocks crawlers that follow the rule from accessing the entire website; Disallow: /products/ blocks access to pages in that directory. An empty Disallow directive usually means that no paths are disallowed.

Also check for rule groups targeting specific crawlers. A crawler selects the applicable group according to the rules it supports, so don't draw conclusions based only on the general rules. If you're unsure which rules actually apply, validate them using the target platform's testing tool.

For multilingual websites, check each language directory and subdomain separately. If English product pages are hosted on a separate subdomain, check that subdomain's own robots.txt; the rules for the main domain do not necessarily reflect its configuration.

robots.txt manages crawling access; it does not remove pages from search indexes. If you confirm that a page is being blocked by mistake, adjust the relevant rules while retaining restrictions on paths that don't need to be public, such as admin areas and shopping carts, and wait for the platform to crawl the site again.

Step 3: Check whether the page responds correctly

Run curl -I https://example.com/page in a terminal to check the response headers first. Public pages should typically return a 200 status code. If the response is 404 or 410, confirm whether the URL is incorrect, the page has been taken down, or the link needs updating.

A 301 or 302 indicates a redirect. Check that the destination URL is correct and that there are no multiple redirects or redirect loops. Use curl -IL followed by the URL to view the redirect chain, and make sure it ultimately leads to an accessible page with the expected content.

A 403 or 429 may be related to a firewall, access rate limits, or anti-bot measures. Status codes such as 500, 502, and 503 may indicate a server or upstream service issue. Investigate the cause using the time of the incident and server logs.

A page opening in a browser does not mean that a crawler can access it. In an environment where you have permission to administer the site, you can use curl with the relevant User-Agent as an initial test. However, impersonating a crawler's name is only a troubleshooting aid and does not prove that a request came from a real crawler.

If you suspect a security rule is blocking access by mistake, check the status code, request time, and reason for blocking in your firewall and server logs. When allowing access, prioritize the platform's official crawler verification methods rather than relying on the User-Agent alone.

Step 4: Confirm that the page content can be read

Open the page source and search for the product name, specifications, or a key sentence from the article. If the source contains only an empty container and the main content is loaded using JavaScript, check further whether the target platform can render the page correctly.

Google Search Console's URL Inspection tool shows how Google processes a page and also offers live testing. Check whether the rendered page contains the main content, important links, and image text, rather than checking only whether the page displays successfully.

Other AI search platforms may have different rendering capabilities and crawling processes, so Google's test results cannot be applied directly to them. For important content, try to include clear headings, body text, and navigation in the initial HTML, reducing reliance on complex scripts.

Also check for login requirements, regional restrictions, pop-ups, and CAPTCHAs. If visitors or crawlers have to interact with the page to see its core content, assess whether you can provide a directly accessible version for public pages, and confirm that users in overseas markets can access it.

Step 5: Check indexing directives and canonical settings

Search the page source for robots-related meta tags, and check the X-Robots-Tag in the response headers. If noindex is present, search engines that support the directive generally won't include the page in their index, even if they can crawl it.

Distinguish between crawl restrictions and indexing restrictions: if robots.txt blocks access, a crawler may be unable to read the page's noindex directive. To remove a page from an index by mistake, follow the target platform's official process rather than changing only one of these settings.

Next, check the URL specified in the canonical tag. If a product page incorrectly points its canonical URL to the homepage, a search engine may consider the homepage the more appropriate version. Make sure the canonical URL is accessible and matches the content and language version of the current page.

For multilingual websites, also check the links between language versions and the hreflang configuration to prevent English and German pages from pointing to the wrong URLs. The page's actual language, canonical URL, and language annotations should be consistent to help search engines understand it.

Step 6: Submit discovery signals and keep checking

Check that the XML sitemap includes the canonical URLs you want to promote, and remove pages that have been deleted, redirected, or should not be indexed. Submit the sitemap to the relevant search platforms, and make sure key pages are linked from locations such as the homepage and category pages.

In Google Search Console, review URL Inspection and the Page indexing report to distinguish between statuses such as “Unable to crawl” and “Crawled - currently not indexed.” After fixing an issue, you can request indexing, but the platform determines how long processing takes and what the result will be.

For other AI search services, check each service's public webmaster documentation, crawler information, and available reports. If a platform doesn't provide page-level indexing checks, track changes using server logs, page access tests, and actual search results.

Consider creating a checklist that records the URL, target crawler, status code, rule issues, owner, and review date. Recheck after launching a site in a new language, changing firewall rules, or redesigning the site to prevent technical changes from making previously accessible pages unavailable.

Summary: Resolve access issues first, then monitor search performance

The key to these practical AI search optimization steps is to verify separately whether a page can be accessed, whether its content can be read, and whether it is allowed to be indexed. First fix any issues blocking crawling or content retrieval, then monitor the results through platform reports and logs.

Crawlability is only a prerequisite for gaining visibility in AI search. To increase the chances of being selected, content must also be accurate, clear, and closely aligned with users' questions. Whether a page is ultimately indexed or cited still depends on each platform's processing and display mechanisms.