Every view is a signal. We help you read it.
VidSeeds.ai reads audience retention data from your published YouTube videos, aligns it to your content, and surfaces the patterns that matter for your content strategy.
What we measure
Drop-off zones
Where viewers leave and what was being said at that moment.
Rewatch peaks
Where viewers scrub back and what content they are revisiting.
Cohort comparison
How each video retention curve compares to your top-performing same-format videos.
Format-level patterns
Across 20+ videos, which formats consistently win.
For each metric, we tell you
The number
60% drop
The context
during the pricing explanation at 3:22
The pattern
this also happened on 4 other videos
The action
move pricing to the end or create a separate explainer
Sample output
RETENTION MARKERS, "How to Choose Foundation Materials"
3:22, CRITICAL DROP (-60%)
"Let me walk you through the pricing..."
Pattern: pricing in opening lost 55-65% on 5 recent videos.
Action: move pricing to Q&A section at end.
7:45, NOTABLE REWATCH PEAK (+25%)
"...like the Johnson project where we saved $40K..."
Pattern: case study segments are 3x the channel average.
Action: expand this section. Consider a dedicated case study video.
Overall: 42% average retention (below channel avg of 61%).
Recommendation: this topic works better as a case study than a tutorial.
Available through any AI agent
Every insight is available through our MCP connector. Your team AI assistant (Claude, ChatGPT, Cursor) can query retention markers, channel patterns, and content strategy directly.
User: "What should I film next?"
Claude calls VidSeeds.ai MCP → returns strategy