The video management interface is where you control your brand awareness campaigns at the detailed level. This is where AI automation and human strategy combine to create effective brand mentions across YouTube.
Understanding Video Status
Each video in your table shows a colored status badge that tells you exactly what's happening with that video's comment campaign. These statuses are updated hourly by AI agents analyzing comment performance and video engagement patterns.
Performing Well (Green)
Your comments are successfully ranked in the top 3 positions and actively generating reach. These are your success stories. Comments in position 1 reach about 50% of video viewers, position 2 reaches about 40%, and position 3 reaches about 30%. Keep monitoring these videos and look for similar content to replicate the success.
Stagnated (Orange)
This is a critical status that means your comments have stopped generating meaningful reach. The AI detects stagnation by analyzing video view growth over 48+ hour periods and determining that your comments aren't benefiting from new video traffic anymore.
Stagnated videos are strong candidates for deletion because they're using your video quota without providing ongoing value. The system only allows you to delete videos once they're marked as stagnated or inactive, which protects you from accidentally removing videos that might still generate reach. Deleting stagnated videos frees up quota for new videos that can actually drive brand awareness.
Needs Boost (Yellow)
Your comments are visible (positions 4-19) but need additional likes to move into the top 3 positions where they'll reach significantly more viewers. The system can automatically boost these comments, or you can boost them manually when you think the timing is right.
Boosting (Blue)
Your comments were recently boosted and are in a 24-hour cooldown period. During this time, the system monitors whether the boost was effective at improving position and reach. You can't boost the same comment again until the cooldown period ends.
Inactive (Red)
These videos either have no comments yet or all their comments have failed to gain any traction. For newly added videos, this is normal during the AI comment generation process. For older videos, it might mean the content isn't a good fit for your brand or the comments need to be regenerated.
Pending Posting (Purple)
Your comments are approved and queued for automatic posting. The system will post the next comment when conditions are met - typically when there are no other active comments on the video and the 3-hour cooldown period has passed.
Awaiting Approval (Blue)
The AI has finished generating comments for this video and they're ready for your review. You'll see draft comments that you can approve, edit, regenerate, or delete before they enter the posting sequence.
Comment Sequence Management
When you click to expand a video, you see the sophisticated comment management interface where you control exactly what gets posted and when.
The Sequence Interface
The left side shows your posting sequence with two sections. Posted History displays comments that have already been posted with their performance data - these are locked and can't be changed. Upcoming Sequence shows comments that are queued for posting, which you can reorder, edit, or manage.
The right side provides analytics and automation controls for the video. You'll see performance summaries, automation settings, and smart status messages that give you actionable recommendations based on the current state of your comment sequence.
Managing Draft Comments
When AI agents finish generating comments for a video, you'll see 5 draft comments in the upcoming sequence. Each comment shows the full text, and you have several options for each one.
You can approve comments to add them to your posting queue, edit the text if you want to make changes, regenerate individual comments if you don't like them, or delete comments you don't want to use. The system is designed to be flexible - you maintain complete control over what gets posted.
Understanding Automatic Posting
Once you approve comments, they enter an automated posting sequence. The system posts one comment at a time, maintaining a 3-hour minimum interval between posts to ensure natural patterns. If a posted comment gets removed or loses its position, the next approved comment automatically posts as a replacement.
This automation ensures continuous brand presence without requiring you to manually monitor and replace failed comments. You can disable auto-posting for specific videos if you prefer complete manual control.
Performance Tracking and Optimization
How Reach is Calculated
Reach represents the estimated number of people who saw your comment. The calculation is based on your comment's position in the video's comment section and how much the video's view count has grown since your comment was posted.
The system tracks video view growth hourly and applies position-based visibility percentages to calculate incremental reach. Position 1 gets 50% of new views as reach, position 2 gets 40%, and so on, following an exponential decay pattern down to position 200, which gets 0% (lost comments).
When Comments Become "Lost"
Comments at position 200 are considered lost because they're effectively invisible to viewers. When this happens, the system automatically marks the comment as lost and posts the next approved comment in your sequence. This ensures you always have active brand presence on videos that are generating views.
Lost comments aren't deleted - their historical performance data is preserved for analysis, but they no longer contribute to ongoing reach calculations.
Boosting Strategy
The system includes automatic boosting for comments in positions 4-19. Auto-boosting adds strategic likes to help improve comment positioning, with the number of likes calculated based on competitive analysis of other comments on the same video.
You can manually boost comments when you think additional likes will help, or disable auto-boosting if you prefer to control all engagement manually. The system respects a 24-hour cooldown between boosts to maintain natural patterns.
Video Management Best Practices
Adding the Right Videos
Focus on videos where your target audience is actively engaged and where mentioning your brand feels natural. The AI discovery tools help identify these opportunities, but you can also manually search or import specific videos you've identified.
Quality matters more than quantity. It's better to have 50 high-performing videos generating consistent reach than 200 videos that rarely generate meaningful awareness.
Regular Optimization
Review your video performance weekly to identify patterns in what's working and what isn't. Look for successful video types, channels, or topics that you can replicate. Clean up stagnated videos monthly to free quota for new opportunities.
The status badges make this optimization process efficient by automatically categorizing your videos and highlighting where attention is needed most.
Scaling Successful Patterns
When you identify videos or comment approaches that work well, use that insight to guide future video selection and comment strategy. The AI agents learn from your successful patterns over time, making suggestions and optimizations increasingly effective.
Remember that building brand awareness through comments is a long-term strategy. The compound effect of having your brand mentioned across many videos creates powerful social proof and drives increasing search volume over time.