LLM Content Visibility Scanner
Check whether a page is readable in raw HTML for AI search systems and LLM crawlers. Review content visibility, crawlability, metadata, schema, and rendering gaps.
Scan a public page
Audit the HTML that LLM crawlers can inspect: readable text, headings, metadata, schema, robots signals, and rendering gaps.
Scan mode
Choose how deeply to compare LLM-visible content.
Run a scan to see visibility signals
You will get a score, action plan, issue list, metadata, detected technologies, content breakdown, and raw HTML preview.
Page visibility check
Check what a crawler can actually read.
This scanner is built for pages that look fine to users but may expose too little content in the first HTML response. It helps you verify whether the core page copy is available before rendering, whether crawl directives stay open, and whether metadata supports the page instead of carrying it.
Content in the first response
Checks whether the main copy, headings, and supporting text are present in raw HTML instead of arriving only after hydration.
Crawl and index signals
Reviews noindex, robots.txt, canonical, and related directives that can quietly suppress visibility.
Metadata and structured data
Shows title, description, Open Graph tags, JSON-LD coverage, and schema issues in the same report.
When this scanner is most useful
Run it before publishing a landing page, article, documentation page, or product page. It is especially useful after a redesign, CMS migration, or JavaScript framework change, when key content may no longer be visible in the initial response.
If you are trying to test content visibility for AI search, an LLM crawler, or a lightweight bot that does not fully render the page, this report gives you the technical baseline to fix first.
A healthy page usually shows
- The main topic appears in the title, H1, opening copy, and body text.
- The primary content is visible in raw HTML and not hidden behind hydration.
What this tool does not do
- It does not predict whether a page will be quoted by an LLM.
- It helps remove technical blockers so search systems and AI assistants can interpret the page more clearly.
How this LLM Content Visibility Scanner works
Use this page as an LLM visibility checker, AI content visibility checker, or LLM access checker for any public URL. It fetches the initial HTML, highlights what machine-readable content is actually exposed, and turns the findings into a score, issue list, and action plan.
What the checker helps you test
Checks whether the main copy, headings, and summaries exist in the raw HTML instead of appearing only after JavaScript runs.
Flags thin body copy, weak heading structure, low text-to-markup ratio, and other signals that reduce machine-readable context.
Reviews meta robots, X-Robots-Tag, canonical signals, and a best-effort robots.txt check for the scanned path.
Surfaces title, description, Open Graph tags, Twitter tags, JSON-LD coverage, and schema parse errors.
Use raw versus rendered mode to see whether important content becomes visible only after hydration on JavaScript-heavy pages.
When this tool is most useful
Run the scan before publishing new landing pages, blog posts, documentation, or product pages. It is especially useful after a redesign, CMS migration, headless build, or JavaScript framework change when you need to test content visibility in ChatGPT-style systems, AI search workflows, and simple crawlers without waiting for live performance data.
Important limitations
- The score is a technical diagnostic, not a promise that a page will rank, be quoted by LLMs, or appear in any specific AI product.
- Raw HTML mode does not execute JavaScript. Use rendered comparison when you need to confirm whether key content only appears after hydration.
- The tool cannot see private model logs, prompt routing, or downstream citation systems. Use it to remove page-level blockers before you validate with real traffic and platform data.
How to use this LLM Content Visibility Scanner
Enter a public URL
Paste any HTTP or HTTPS page you want to review for LLM content visibility and AI readability.
Choose raw or rendered mode
Check the initial HTML first, then compare rendered output when you suspect JavaScript hides important copy.
Review blockers and gaps
Look at crawl directives, thin content, heading issues, metadata, schema, and text-to-markup signals.
Fix and rescan
Update the page template or content, then rerun the scan to confirm the report improves.
Example Usage
Checks whether a public page exposes readable raw HTML, safe crawl signals, metadata, schema, and rendering gaps.
Frequently Asked Questions
Does this scanner test real ChatGPT or Google AI Overviews visibility?
Can it tell me whether a page will be quoted by LLMs?
Why does raw versus rendered HTML matter?
What should I fix first?
Is the score a guarantee?
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The LLM Content Visibility Scanner is maintained by CodeItBro. We aim to provide the best free developer tools on the web. If you have feedback or suggestions, please visit our contact page.
