What fans are asking about — classified from fan questions only, not the AI's replies
Query Volume
Conversations over time
Trending Questions
Most frequently asked — ranked by volume
Content Gaps
Unanswered questions — click "Add Answer" to fill the gap
Add Answer to Knowledge Base
This answer will be used immediately when fans ask this question.
Keyword Mention Tracker
How often tracked keywords appear in conversations, split by Fan (the message a fan typed) vs Agent (the AI's reply). Share is each keyword's % of all tracked mentions this period.
Keyword ↕
Tracker ↕
Mentions (Fan / Agent)↕
Share of mentions ↕
Recommendations
Insights based on fan engagement data
Fan Segments
Session intent scoring — who's engaging with the companion
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Link Click-Through
Links served vs clicked, plus how many reached checkout and converted, by type
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Revenue Attribution
Conversions attributed to fan companion interactions (webhook + pixel)
Ticket Intent
Actual link clicks by fans — breakdown by link type
Fan Locations
Where fans are engaging from
Top Cities
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Top Countries
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Network Clusters
IP prefixes with repeated engagement — potential corporate or group audiences
IP Prefix
Location
Distinct IPs
Queries
Group Signals
Volume
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Showing the top 50 clusters by distinct visitors. Narrow with the “Min. distinct IPs” filter above.
Engagement Timing
When fans are most active — use this to time your campaigns
Peak Hours (UTC)
Peak Days
Recurring Email Reports Create multiple CSV/PDF schedules for your team
Scheduled Reports
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Create New Schedule
Tip: leave a limit blank or type all to include every row for that block.
Trending Topics Configuration Define topics for LLM classification
Configured Topics
Topic
Messages
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Add New Topic
Re-classify Messages
Re-run LLM topic classification on existing messages. Useful after adding new topics or changing descriptions. Messages are batched to minimise token usage.
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Messages
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LLM Calls
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Est. Tokens
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Est. Time
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Keyword Trackers Configuration Track any keywords across conversations
Configured Trackers
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Add New Tracker
Re-scan Messages
Re-run keyword detection on existing messages. String matching is free and fast; if any tracked keywords use context validation, each matching message also costs one AI call (see the estimate below).
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Messages
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LLM Calls
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Est. Seconds
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Est. Minutes
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Edit Topic
Add Keywords
Context Validation
After saving, run a Bulk Rescan to re-clean historical mentions.