Why being readable comes before being recommended
Before an AI engine can name you in an answer, it has to be able to reach your pages, read the content without running JavaScript, and find the structured facts worth quoting. This free scan checks those eleven public signals deterministically - no LLM, no guessing - so you know whether the groundwork is in place. If a crawler is blocked or your page is an empty JavaScript shell, no amount of great content will get you cited.
Readiness, broken down per engine
Each assistant reads the web through its own crawler - ChatGPT via GPTBot, Claude via ClaudeBot, Gemini via Google-Extended, Perplexity via PerplexityBot - so you can be wide open to one and silently blocked from another. The scan above gives you a verdict for every engine with the exact reason (a disallowed bot, a missing llms.txt, a JavaScript-only page), an overall score and a category radar - all from your live page, in seconds.
What the scan can't see - and the audit can
A clean scan means engines can read you; it doesn't prove they do recommend you. For that you have to ask them - the real buyer questions, across every engine, tracked over time, because answers drift run to run and the five engines disagree. The free AI visibility checker is a first look - three real ChatGPT answers, no signup. The continuous audit is the full picture: same question set, every engine, every day.
What to do with the result
Fix the fails first - they're usually mechanical: allow the AI crawlers in robots.txt, ship real server-rendered text, add JSON-LD and a llms.txt. Then study who the engines name instead of you and ship the one asset that beats them - usually a comparison page or a citable pricing page. Re-scan in two weeks. That loop is the whole discipline.
