Qwairy
Metrics & Analytics

LLM Visits

Sessions from real users who clicked a brand's link in an AI response on ChatGPT, Perplexity, or another AI platform.

What is LLM Visits?

LLM Visits refer to sessions from real users who clicked a link from an AI platform like ChatGPT, Perplexity, Claude, or Gemini. They are distinct from automated crawler occurrences and must not be added together. Referral sessions measure downstream human traffic; crawler occurrences only measure requests observed in connected server logs.

How Qwairy Makes This Actionable

Qwairy identifies and tracks human traffic coming from AI platforms by analyzing referrer URLs (chatgpt.com, perplexity.ai, claude.ai, etc.). Monitor which AI platforms send you the most qualified traffic.

Frequently Asked Questions

LLM visits typically show higher intent and engagement because users have already received context from the AI before clicking. Sessions tend to last longer, bounce less, and convert at higher rates than organic search traffic. Users arrive more informed and further along the consideration journey. The platform's LLM visit tracking lets you measure these quality differences and demonstrate GEO ROI to stakeholders.

For most brands, LLM visits start as a low single-digit share of total traffic, and the share grows steadily with focused GEO efforts as AI assistants gain adoption. High-authority sites in AI-friendly niches (tech, finance, health) see faster growth. The platform tracks your growth trajectory month-over-month and benchmarks against your historical performance to show whether your GEO strategies are working.

Prioritize commercially relevant pages with direct evidence of demand, such as search impressions, monitored citations, or qualified AI referral sessions. Crawler activity can confirm access and expose HTTP problems, but it does not prove indexing or explain why a page lacks referrals. Treat cross-source differences as hypotheses and validate changes over equivalent periods.
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