What you can see in the dashboard
ContinueWith surfaces continuation rate, assistant distribution, page-level attribution, and prompt-label performance. These are leading indicators at the website-to-AI transition — not downstream conversion inside an assistant.
If Claude accounts for 40% of continuations from your docs but ChatGPT dominates pricing, that split informs where you invest in clearer context, better prompts, and page-specific guidance.
The goal is not a vanity metric. It is visibility into a channel traditional analytics still mislabels as departure.
Understand how AI is changing your customer journey — not just your pageviews.
Decisions this enables
Content teams can prioritize pages that frequently start AI journeys. Docs teams can see which articles readers carry into assistants. Product marketing can test whether comparison pages need richer prompt templates.
None of this requires guessing which assistant your audience prefers or which URL they pasted from memory. You measure the intentional transition ContinueWith enables.
FAQ
Common questions
- What metrics does AI Journey Analytics include?
- Continuation rate, assistant distribution, page-level attribution, and prompt-label performance — all at the website-to-AI transition, not inside the assistant.
- Can AI Journey Analytics replace conversion attribution?
- No. They are leading indicators for an emerging channel — which pages and prompts start AI journeys — not proof of revenue lift inside ChatGPT or Claude.
Next step
See it on your site
ContinueWith measures AI continuations at the website boundary — which assistant, which page, which prompt — without seeing private conversations. Install takes minutes.