Free AI citability scan

How the scan works

You enter a domain. We fetch the live page the way an AI crawler does, then request robots.txt, sitemap.xml, and llms.txt, and probe the page again as GPTBot, ClaudeBot, PerplexityBot, and Google-Extended to see whether any of them is blocked. Every one of the 18 checks is deterministic: the same site gets the same result twice, so a fix you ship shows up on the next run. The whole thing takes ~60 seconds.

Each check carries an evidence label. Verified checks are backed by published data (Cloudflare Radar bot traffic, the Ahrefs 75,000-brand citation study, controlled schema experiments). Emerging checks track signals the engines have announced but nobody has measured yet. We say which is which, so you spend effort on the levers with evidence behind them first.

What the results tell you

Failed checks come first, ordered by how much they affect whether an engine can cite you at all. A site that blocks ClaudeBot cannot be cited by Claude no matter how good the content is, so access failures outrank content failures. Each row states what we found on your site and why the check exists.

If you give us your category, the report adds a live visibility panel: we ask the four engines the questions someone shopping for your category would ask and record whether you were recommended, which domain was recommended instead, and which engine you are hardest to find on. That panel is the number most teams did not know they had.

Questions people ask before running it

Is the scan really free?

Yes. There is no card, no trial, and no time limit. The email gate exists so the full report can land in your inbox and so we can send the fixes in order.

What does it check?

18 deterministic checks against the live site: crawler access files (robots.txt, sitemap.xml, llms.txt), AI-specific robots rules, whether GPTBot, ClaudeBot, PerplexityBot, and Google-Extended can fetch the page, canonical and HTTPS hygiene, heading hierarchy, meta description, Open Graph tags, JSON-LD structured data, off-site entity authority (sameAs graph), answer-first content, content freshness, markdown negotiation, agent readiness, crawl responsiveness, and content intent signaling.

Why does it ask for my category after the scan?

With a category we can ask ChatGPT, Claude, Perplexity, and Gemini the questions a buyer in your category would ask, and report whether any of them recommended you and who they sent buyers to instead. Without it you still get every check.

How is this different from an SEO audit?

An SEO audit asks whether Google can rank you. This asks whether an AI answer engine can fetch, read, and trust you enough to cite you. Some checks overlap (HTTPS, canonical, sitemap). Most do not.

What happens after the scan?

You get the pass or fail list with the reason each check matters. Fix what fails, re-run it. If you want it watched every month, AI Visibility Monitoring re-checks the infrastructure daily and reruns the citation questions monthly.

Reading on what the checks measure: the citability blog. Monthly re-checks: AI Visibility Monitoring.