Measuring AI visibility: which signals count
You cannot measure every AI answer, but you can measure the signals that cause them. These are the ones that count.
See your AI-visibility score
Run a free scan and see how visible your site is to ChatGPT, Perplexity and Google AI, as one of four subscores.
Check your AI visibility →Why measure signals, not just answers
AI answers are generated live and hard to track fully, so measuring only outcomes gives a blurry picture. Instead, measure the inputs that drive citations: whether AI can reach your pages, how quotable they are, and how trustworthy your site looks. These signals are stable, controllable and predictive of AI visibility.
Signals give you a number to improve week over week, long before any single answer is traceable.
The signals that count
Six signals matter most: AI-crawler access in robots.txt, content available in server-rendered HTML, answer-first structure under headings, clear structured data, entity clarity so your brand is unambiguous, and authority through mentions and links. Together they decide whether a model can find, read, trust and quote you.
- Crawler access: GPTBot, ClaudeBot, PerplexityBot, Google-Extended allowed.
- Server-rendered content: not JavaScript-only.
- Answer-first structure: quotable summaries.
- Structured data: Article, FAQPage, Organization.
- Entity clarity and authority.
How to track them over time
Run a scan to get a baseline AI-visibility score, fix the flagged issues, then re-scan on a schedule so you can see the trend. Pair that with AI referral traffic in analytics for the outcome side. A rising signal score plus rising AI referrals is the clearest proof your work is landing.
Doing it once tells you where you are, doing it regularly tells you if you are improving. Monitoring beats a single audit.
See your AI-visibility score
Run a free scan and see how visible your site is to ChatGPT, Perplexity and Google AI, as one of four subscores.
Check your AI visibility →