Federico Rao
Check What a Crawler Receives Before JavaScript Runs
This free diagnostic reads the initial response from a public URL and reports basic search-relevant HTML without executing client-side JavaScript.
What the checker reads
The report looks for response status and content type, title, meta description, canonical URL, robots directive, H1 count, structured-data blocks, visible text volume, and links present in the raw response. It does not wait for hydration, click controls, accept consent prompts, log in, or render a browser session.
Why initial HTML matters
Search engines can render JavaScript, but critical signals should be stable before and after rendering. Conflicting canonical or robots directives create ambiguity, non-200 responses may not be rendered, and delayed content can make diagnostics harder. Inspecting the first response provides a reproducible baseline rather than a complete SEO verdict.
What the result cannot prove
A passed check does not prove that a page is useful, authoritative, accessible, fast for real users, eligible for a rich result, indexed, ranked, cited by AI systems, or able to convert visitors. Word and character counts are coverage prompts rather than ranking factors or writing targets.
Privacy and operating limits
The submitted URL is sent to the server for the requested check and the fetched response is not retained by this tool. Only public HTTP or HTTPS pages should be submitted. Network rules, redirects, robots behavior, timeouts, unsupported content types, and remote-server protection can prevent a result.
How to use the evidence
Review failures in context, compare the raw response with the rendered page, confirm server status, and inspect the exact route in Search Console when access is available. A missing element may require server rendering, static generation, metadata configuration, routing fixes, or a deliberate decision that the page should not be indexed.
Next steps
Use the technical SEO service for a broader crawl, indexation, rendering, architecture, performance, and measurement review. The editorial policy explains how public guidance and AI-assisted material are sourced and reviewed. The topic hub connects the checker to implementation guides as they are published.