AI-referred traffic

What it is

AI-referred traffic is the set of sessions referred from LLM surfaces such as ChatGPT, Claude, Gemini, Perplexity, and Copilot. It is the measurable downstream of being cited or mentioned in AI answers.

Why it matters

It is the clearest proof that AI visibility converts to visits, but it is often under-counted because referrers are stripped or mislabelled as direct, so brands routinely undervalue this channel.

How it works

Practitioners identify AI referrers in analytics, build segments and rules to reclaim sessions hidden in direct traffic, and use UTM or server logs to attribute visits to specific assistants.

When it applies

Measure it whenever you need to tie AI-search effort to actual sessions and conversions.

Examples

• A spike in direct traffic that correlates with a rise in citation share
• Sessions arriving with a Perplexity or ChatGPT referrer string
• A team building an analytics segment to isolate assistant referrals

How it is measured

• Sessions with a recognised LLM referrer
• Estimated AI sessions reclaimed from direct traffic
• Conversions attributed to AI-referred sessions
• Share of total traffic from AI surfaces over time