Trained on your content
The assistant answers from the video and material you give it, not from the open internet.
Personalize and brand
A custom-trained assistant inside the video that answers viewer questions about its content, in conversation.
What it does
You can only script answers to the questions you predicted. Viewers have the rest.
The assistant answers from the video and material you give it, not from the open internet.
Viewers ask in their own words and receive an answer based on the approved source material.
What people ask shows exactly what the video failed to make clear.
In practice
Long content, technical content, and anything that generates repeat questions.

What gets reported
Every interaction on the timeline is recorded against the viewer who used it.
Standard video analytics
412 plays
A play count does not tell you who watched, or what they did at this moment in the video.
Viewer report · Genie AI412 viewers
+ 409 more viewers
Related
These combine on one timeline. Most videos use three or four together.
Add clickable buttons that open links, jump the timeline, capture a lead, or start a branch at any moment you choose.
Place a clear call to action at the moment the video gives the viewer a reason to act.
Break a recording into named, searchable chapters so viewers can see the structure and jump straight to a section.
Viewers add a comment at any moment in the video. Mindstamp saves each comment with its timecode in that viewer’s report.
Show, hide, and reroute interactions based on what the viewer answered, clicked, or brought with them from your data.
Circle a detail, mark it freehand, or add a text label. The video pauses on that frame with your drawing on top, so viewers look where you point.
Questions
The video and the material you train it on, so answers stay inside your own content.
Yes, and that list is usually the fastest guide to what the video should have covered.
Try it on one video
Let the recording answer the questions it keeps generating.