See what people need from your website
Use owned content to answer visitor questions with less friction.
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What this feature covers
Why it matters
The practical reason to use it.
Analytics is where a website assistant becomes useful to the whole business.
How it works
A step-by-step look at the workflow.
Step 1
Capture visitor questions, answer outcomes, source usage, handoff events, and conversation context as the assistant runs on the website.
Step 2
Review repeated questions, weak answers, no-answer moments, and high-intent phrases by source, page, topic, or assistant.
Step 3
Update the approved sources, suggested prompts, handoff rules, and page placement based on the patterns the data reveals.
Step 4
Recheck the same question groups after changes so the team can see whether visitors are getting better answers and clearer next steps.
Core job
The main job this feature handles.
Question trends
See the topics, phrases, and intents visitors repeat across pages and sessions.
Source gap discovery
Find missing, stale, or weak approved sources behind unanswered questions.
Handoff visibility
Track where conversations turn into leads, support requests, bookings, or human review.
Assistant iteration
Tune prompts, source selection, and fallback rules from observed visitor behavior.
Daily use
How teams use it after launch.
Start with one bounded workflow
Use Visitor analytics on the narrowest workflow where the team can measure whether the feature reduces friction, improves clarity, and creates clearer.
Keep edge cases visible
Review the conversations, prompts, and system actions tied to visitor analytics so operators can see where the rollout still depends on manual.
Connect the surrounding systems
Visitor analytics is stronger when the feature sits beside the knowledge, integrations, and routing rules that already determine what happens after the.
Expand after the first proof
Once the first deployment is stable, teams can extend visitor analytics into more surfaces and assistants without rebuilding the same control model.
Control points
What to keep controlled.
Review real visitor conversations
Use real conversation data to inspect whether visitor analytics is actually improving answer quality, reducing back-and-forth, and creating better support deflection from.
Check ownership and controls
Look at which team owns the feature, where approvals still matter, and how the capability interacts with surrounding systems.
Track downstream changes
A strong rollout shows up after the first response too: cleaner handoff, clearer escalation, less manual cleanup, and faster next-step execution.
Expand with evidence
Only widen the rollout after the first bounded workflow is clearly stable.
What you get
The changes teams should notice first.
- Clearer priorities for source and page updates
- Better support deflection from repeated question coverage
- More qualified follow-up from high-intent visitor questions
- A tighter loop between website content and assistant behavior
The facts do the selling
Plan facts, platform capabilities, and worked examples — every claim here is checkable, not a pitch.
White-label included — never a paid add-on. Copyright removal from $98/mo. Full white-label — custom domain, branded portal, your-domain emails — from $198/mo.
The white-label wedge
Platform fact
Training runs on your sitemap, PDFs, docs, and YouTube transcripts. Answers cite the source pages they came from.
Trained on your content
Platform fact
Five clients at $300/mo on a $198/mo Agency plan is $1,300+ of monthly margin before usage.
A 5-client agency on one flat plan
Worked example
Your questions, answered.
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Visitor analytics questions
What can I measure with analytics?
You can review visitor questions, answer patterns, source usage, handoffs, feedback, and unanswered topics. The goal is to show what the website assistant handled well and where content, prompts, or routing need another pass. The operational question is whether visitor analytics makes the workflow clearer once real conversations, real ownership, and real edge cases show up. That is the bar teams should use before they expand the rollout across more assistants, more channels, or more teams.
Can analytics help me find content gaps?
Yes. Repeated unanswered questions reveal missing pages, unclear policies, weak product information, or content that exists but is hard to discover. Those gaps are often more useful than a traffic report because they show demand in the visitor language. The operational question is whether visitor analytics makes the workflow clearer once real conversations, real ownership, and real edge cases show up. That is the bar teams should use before they expand the rollout across more assistants, more channels, or more teams.
When is analytics not enough?
Analytics cannot fix missing or unapproved source material by itself. If visitors ask questions your business has not answered anywhere, the next step is to create or approve content before expecting the assistant to resolve those conversations. The operational question is whether visitor analytics makes the workflow clearer once real conversations, real ownership, and real edge cases show up. That is the bar teams should use before they expand the rollout across more assistants, more channels, or more teams.
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