Check the Website Your AI Builder Actually Shipped.

What to check before changing the code

The checker begins with evidence available from the public URL. This matters because a repository can contain correct titles, routes, and schema while the deployed host serves an older build, a preview-domain redirect, a firewall challenge, or a JavaScript error. Always scan the canonical production host and repeat the test after deployment.

Access checks answer whether the page can be requested without a session and whether redirects end on the intended HTTPS host. Indexability checks review robots rules, page directives, and canonical signals. Discovery checks inspect sitemap availability and links. These layers must work together; a sitemap entry cannot repair a blocked or broken page.

Content checks look for a page-specific title, heading, useful visible explanation, direct answers, and internal links. They do not reward word count by itself. A focused product page can be concise when it demonstrates the workflow, while a troubleshooting guide needs enough detail for someone to identify and verify the failed layer.

AI-readiness checks should be interpreted carefully. Allowing a crawler only shows that a request is permitted. A crawler visit only shows activity. An llms.txt file or Markdown alternate may improve machine access for compatible consumers, but neither guarantees inclusion, citation, recommendation, or referral traffic. Normal search foundations remain necessary.

Use the result as a work queue. Fix the highest dependency first, give the coding agent the exact URL and observed failure, require it to inspect connected files, and define a verification step. Large prompts that ask for every SEO improvement at once can create unrelated changes and make it difficult to prove which fix worked.

The checker is useful at three moments: before the first production launch, after routing or hosting changes, and when Search Console or analytics shows an unexpected drop. Keep the previous report as a baseline so improvements and regressions are based on evidence rather than visual impressions.

Frequently asked questions

Can I use this as an AI website launch checker?

Yes. It is most useful on the live production host immediately before launch and again after DNS, routing, or content changes.

Does the checker support every AI builder?

The public checks are stack-independent. Platform-specific deployment settings still need to be verified in the builder or host documentation.

Will a passing scan make the website rank?

No. A pass improves technical eligibility and clarity; Google and AI systems still decide crawling, indexing, ranking, retrieval, and citation.

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