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GuideHow to measure the ROI of AI visibility
Measuring the return on AI visibility is genuinely harder than measuring SEO or ads, and it is worth being honest about why: a large share of AI-assisted buyers never click a tracked link — they read a recommendation, remember a name, and arrive later as direct or branded traffic. So the old last-click funnel undercounts it badly. A practical approach works on three levels. First, leading indicators you control and can track consistently: your AI-readiness signals and how often, across a fixed set of buyer prompts, the assistants name you versus competitors. Second, directional demand signals: branded search volume, direct traffic and 'how did you hear about us' answers that mention an AI assistant, watched for lift as your visibility improves. Third, the real outcome: new customers who, when asked, say an assistant pointed them to you. None of these is a clean click-to-conversion line, but together they tell you whether being named by AI is turning into demand.
FAQ
Why can't I just track clicks from ChatGPT?Because much of the value shows up with no click at all. An assistant often names you inside its answer; the buyer notes the name and comes back later directly or via a branded search, which attribution tools log as direct traffic, not as AI. Some referral traffic is now tagged from assistants, and it is worth capturing, but treating it as the whole picture will make AI visibility look far smaller than it is.
What is the single most practical metric to start with?Share of answer: across the real questions your buyers ask, how often an assistant names you, and against whom, tracked on a schedule so you see a trend. It is a leading indicator you can act on long before revenue attribution catches up, and it maps directly to the fixes that move it. Pair it with branded-search and direct-traffic trends to see demand follow.
How do I measure my readiness baseline?Run a free Cited scan — it checks the AI-search readiness signals on your website (crawler access, llms.txt, structured data and answer-ready content) and lists the fixes to make first.
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