Is Your Website Visible to ChatGPT & AI Search?

This free technical audit scores automatic search-crawler access, indexing controls, raw-HTML content, and visible structure. Training policy, llms.txt, and unvalidated schema presence are informational only. It does not predict rankings or citations.

Run the Technical Readiness Scan
Quick answer

How do I know if AI engines like ChatGPT can see my website?

Audit the live page for automatic search-crawler access, index and snippet controls, raw-HTML content, and useful visible structure. Treat training policy, llms.txt, and detected-but-unvalidated schema as information rather than score inputs. User-triggered fetchers require direct product testing because robots behavior varies.

  • A search crawler blocked in robots.txt may prevent that specific search surface from retrieving the page.
  • Server-rendered, indexable content is more reliably available than client-only content.
  • Schema presence and llms.txt are reported as unscored information; eligibility and visible parity require separate validation.

Last reviewed by Karam Abd Al Qader

Free AI Visibility Checker

Check whether documented automatic search crawlers may retrieve a specific page, then review its technical readability. Training policy, llms.txt, and schema presence are reported separately and never affect the score.

The checker reads your live page, robots.txt, and llms.txt. It reports only what those public resources support; it cannot inspect any AI company's index. Pair it with our SEO scanner for the classic-search side.

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Run a blog, agency site, or resource page? Drop the AI Visibility Checker straight onto your page — it stays free for your visitors, resizes itself, and credits Ijjad with a link. Copy the snippet:

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What technical AI readiness can tell you

Search results and AI answer surfaces can retrieve and present sources differently. This checker tests a narrow prerequisite—whether a submitted page is technically available and readable—without claiming that access will produce a ranking, mention, citation, or customer.

1. Path-specific rules matter

A robots.txt rule can allow one submitted path and block another. The score covers documented automatic search crawlers only; training policy is separate, and user-triggered fetching requires direct product testing.

2. Useful visible structure helps readers and parsers

State the primary answer clearly, use headings and tables when they improve comprehension, and add only schema supported by visible content. No fixed format, FAQ count, or entity opener guarantees a quote.

3. Raw HTML reduces rendering dependency

Crawler rendering capabilities vary, so the checker inspects the raw HTML returned by the server. If meaningful content exists only after client-side JavaScript runs, direct retrieval may be limited even when the browser view looks complete.

The checker methodology is public and separates technical access from the evidence and authority needed to earn visibility: what GEO is, how to use supported schema accurately, and the bilingual LLM SEO checklist.

AI visibility for Saudi, Jordan & GCC businesses

Regional teams should test the search and answer surfaces their buyers actually use rather than assume one GCC adoption pattern. Arabic and English pages can have different crawl, rendering, localization, source, and measurement needs, so each language deserves its own evidence.

  • Arabic content needs the same crawl and quality standards as English. An Arabic page that is noindexed or only appears after fragile client rendering may be hard to retrieve. Schema is optional unless a supported visible page type justifies it.
  • Arabic visibility must be measured separately. Arabic-capable assistants can return different sources and framing from English prompts, so track Arabic cited URLs, referrals, and qualified actions rather than assuming language parity.
  • A readiness score is only a diagnostic. Fix genuine crawl, index, rendering, and parity defects, then compare Arabic and English citation/referral outcomes with the same recurring buyer prompts.

For the bilingual specifics, see the LLM SEO checklist for Arabic and English websites.

Frequently Asked Questions

What does the AI Visibility Checker actually check?

The checker reads technical signals from the live site: automatic search-crawler access, training-crawler policy, indexing and snippet controls, raw-HTML content, visible structure, JSON-LD presence, and whether an optional llms.txt file exists. Training policy, llms.txt, and unvalidated schema presence are informational and do not affect the score.

Why would ChatGPT or Perplexity not mention my business?

Several factors can contribute: a relevant search crawler is blocked, the page is noindexed or hard to render, the content does not satisfy the buyer question, facts are stale or unsupported, or the business lacks independent authority. The checker diagnoses technical readiness; recurring engine probes and referral data are needed to diagnose actual citation outcomes.

Should I allow or block AI training bots like GPTBot?

Blocking training crawlers such as GPTBot or Google-Extended is a legitimate data-use choice. It is separate from automatic search crawlers such as OAI-SearchBot, Claude-SearchBot, Bingbot, or Googlebot. User-triggered fetchers are omitted from the score because robots.txt handling varies by product and request. Decide training policy on consent and content-use grounds, not as a ranking tactic.

What is llms.txt and do I need one?

llms.txt is an optional, emerging convention for publishing a concise map of site facts and URLs. It is not required for search or AI visibility and does not control summaries, rankings, or citations. If you publish one as an experiment, keep it factual and current; otherwise focus on crawlable content, evidence, authority, and measurement.

Can any tool tell me if ChatGPT is already citing my site?

No single readiness checker can prove citation coverage. Bing Webmaster Tools can report Microsoft Copilot citations, and a stable prompt set can measure what accessible engines cite today. This checker covers technical crawl and rendering conditions; it does not inspect every engine’s index or predict whether your page will be selected.

My score is high but AI engines still never mention my business. Why?

A high score only means the tested page has few detected technical-readiness problems. Citation still depends on query intent, content quality, current evidence, indexing, independent authority, and the engine’s retrieval system. Use the score to fix concrete blockers, then measure citations, referrals, and qualified actions separately.

What is a good AI visibility score out of 100?

Treat the number as a heuristic technical-readiness grade, not a ranking. Review the individual checks: an automatic search crawler blocked for the submitted path, noindex, restrictive snippet controls, or little raw-HTML content may limit specific search surfaces. Missing llms.txt, training policy, and unvalidated schema presence are informational and do not affect the score.

Does the AI SEO audit work for Arabic and Saudi websites?

Yes. Automatic search-crawler access, index controls, and raw-HTML text can be checked on Arabic and English pages. The tool detects parseable JSON-LD but does not validate eligibility or visible-content parity. Translation quality, dialect fit, RTL usability, and Arabic intent still need human review and separate prompt measurement.

Want an evidence-led AI visibility audit? We fix genuine crawl and content defects, strengthen useful pages and authority, then measure citations, referrals, and qualified actions.

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Further reading

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