YAS AI Visibility / Use cases

Turn AI-search evidence into accountable work.

Operational scenarios for teams measuring visibility, prioritising remediation, and connecting observed evidence to business decisions.

Start with the decision your team needs to make and follow the shortest useful path.

Choose your scenario

Start with the question

Choose the AI-search decision your team needs to make.

These pages turn common questions about AI visibility into inspectable work. They do not promise a ranking or a citation; they explain which evidence to collect, which website signals you control, and what to review next.

Common AI visibility questions

How do I check whether my website is visible in ChatGPT, Gemini, or Perplexity?

Start with an audit of access and site evidence, then test representative buyer questions across the relevant answer engines. A mention, a cited URL, and a recommendation are separate observations.

Does a crawler check guarantee that an AI system will cite my site?

No. Access is a prerequisite, not a citation guarantee. Citation also depends on the question, the available evidence, the answer system, and the competing sources it can use.

What should we measure after an AI visibility audit?

Track the questions being tested, observed mentions and citations, the owned URLs that appear, referral traffic, and conversions only where the data supports attribution.