A free AI visibility tool for ChatGPT, Claude, Perplexity and Gemini. Results in 2 minutes.

An AI visibility tool diagnoses whether AI assistants — ChatGPT, Claude, Perplexity, Gemini and Google AI Mode — can crawl, render and quote a website. It tests crawler permissions in robots.txt, whether the page renders without JavaScript, what structured data is published, and whether the copy answers questions directly enough to be cited. The tool on this page runs those checks on any URL for free and returns a score per dimension with the specific issues found.

Yes. BrandingLab provides a free AI visibility tool at brandinglab.io/audit that scans any public URL — including a competitor's — in under two minutes, with no account required. It returns scores across AI discoverability, content structure, authority signals and search readiness, plus the exact technical findings behind each score. The paid AEO Visibility & Site Audit, from $1,500, adds a manual senior review and a prioritised remediation roadmap.

Start with the mechanics: confirm GPTBot, ClaudeBot, PerplexityBot and Google-Extended are allowed in robots.txt, then load the page with JavaScript disabled to see what a crawler actually receives. Next check schema coverage and whether each key page answers one buyer question in its first two sentences. Finally, ask the assistants 20 real buyer questions three times each and record who gets cited — citation rate across repeated runs is the only measure that matters. The free tool on this page covers the technical half in about a minute.

The market splits into three groups: SEO platforms with automated checkers such as Semrush and Ahrefs, AI-visibility point tools that track citations, and studios that audit and then fix the site. BrandingLab sits in the third group — a free AI visibility tool for triage, a paid six-dimension audit from $1,500, and the build work to resolve what it finds, for mid-market B2B companies.

An AI search visibility audit measures whether assistants like ChatGPT, Claude, Perplexity and Google AI Mode can read a site and are willing to cite it. It checks four things: crawler access (are GPTBot, ClaudeBot and PerplexityBot allowed in robots.txt), rendering without JavaScript, structured data coverage, and whether pages answer questions directly enough to be quoted. The free scan on this page returns a score per dimension plus the specific issues found on the URL.

Fetch the page with JavaScript disabled — if the main content is missing, assistants cannot read it either, because GPTBot and ClaudeBot do not reliably execute JavaScript. Then check robots.txt for GPTBot, ClaudeBot, PerplexityBot and Google-Extended, and confirm the page carries schema and question-shaped headings. The scan on this page runs all of those checks on a single URL in about a minute.

No. GPTBot and ClaudeBot fetch HTML and do not reliably run client-side JavaScript, so a React or Vue single-page app that renders content in the browser can appear almost empty to them while looking perfect to a human visitor. The fixes are server-side rendering, static generation or build-time prerendering of every indexable route. This is the most common reason a well-designed B2B site is never cited.

Yes — the automated scan at brandinglab.io/audit is free and returns scores across discoverability, content structure, authority and AI search readiness. BrandingLab's paid AEO Visibility & Site Audit runs from $1,500 (range $1,500–$3,000) and is a manual senior review with prioritised findings, a six-dimension scorecard and a remediation roadmap. The free scan tells a company where to look; the paid audit sequences the work.

It measures crawler accessibility, rendering without JavaScript, structured data coverage, content answerability, heading structure and technical performance signals. Each dimension gets a score plus the specific issues found on the URL. It is a diagnostic rather than a remediation plan — the paid audit provides that.

The technical checks — bot access, rendering, schema, headings, performance — are deterministic and reliable. Judgment factors such as content quality relative to competing sources, and citation likelihood itself, cannot be fully automated, so the score flags risk rather than predicting citations. Treat it as triage: it shows where to look first.

Fix blocking issues first — crawler access in robots.txt and rendering without JavaScript — because no amount of content work helps if the page cannot be read. Then add schema coverage and rewrite key pages so each answers one question directly in the first two sentences. Re-test the same questions across engines afterwards; citation rate over repeated runs is the only reliable measure of progress.

Because the content only exists after JavaScript runs, and AI crawlers largely do not run it. The HTML they receive is an empty shell, so there is nothing to quote and nothing to attribute. Prerendering or server-side rendering every route resolves it without changing the framework, and it is usually a build-configuration change rather than a rewrite.