LLM Content Visibility Scanner
Audit raw HTML for AI-readability, crawlability, metadata, schema, and content visibility signals.
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.
AI-readable HTML
Checks whether important text, headings, and summaries are present before JavaScript runs.
Crawlability signals
Reviews noindex, X-Robots-Tag, robots.txt, and basic gated-content signals with cautious evidence.
Schema and metadata
Surfaces title, description, canonical, social tags, JSON-LD validity, and detected technologies.
How this LLM Content Visibility Scanner works
The scanner fetches a public URL and audits the HTML that crawlers and AI assistants can inspect. It turns technical signals into a score, issue list, and prioritized action plan.
What the scan checks
- Readable contentBody text volume, heading structure, and text-to-markup ratio.
- MetadataTitle, meta description, canonical URL, robots directives, Open Graph tags, and Twitter Card tags.
- Structured dataJSON-LD presence, schema types, and parse validity.
- Accessibility signalsImage alt coverage and meaningful content samples.
- CrawlabilityMeta robots, X-Robots-Tag, and a best-effort robots.txt check for the scanned path.
How the report is built
The server fetches the page with public URL safety checks, response size limits, redirect limits, and rate limiting. The parser extracts metadata, links, headings, images, schema, body text, and common technology markers, then scores the page with transparent weighted checks.
Important limitations
- The score is a technical heuristic, not a guarantee of visibility in search engines or LLM products.
- Raw HTML mode does not execute JavaScript. Use rendered comparison to check whether important content appears only after hydration.
- Paywall, cloaking, and indexing findings are cautious signals that should be verified with your own logs and search console data.
How to use this LLM Content Visibility Scanner
Enter a public URL
Paste any HTTP or HTTPS page you want to audit for raw HTML visibility.
Scan the response
The server fetches HTML safely, checks crawlability, metadata, schema, and readable content.
Fix top issues
Review the score, evidence, and prioritized action plan before updating the page.
Example Usage
Fetches a public page and reports content, crawlability, metadata, schema, and raw HTML visibility signals.
Frequently Asked Questions
Does this scanner test real ChatGPT or Google AI Overviews visibility?
Why does JavaScript rendering 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.
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