You can't tell if a video bombed until the metrics catch up
View count and watch time lag the comment thread by hours or days. Sentiment is the leading indicator that says "this one didn't land" while you can still respond.
Track how your audience really feels with AI sentiment scoring, anomaly alerts, and per-video breakdowns. Spot the spike before it snowballs.
Built for creators, agencies, and brands who want to understand YouTube audience mood at scale.
View count tells you who showed up. Sentiment tells you what they thought. Here is what reading the comments by hand misses.
View count and watch time lag the comment thread by hours or days. Sentiment is the leading indicator that says "this one didn't land" while you can still respond.
If you only watch likes vs dislikes, you miss the cluster of negative comments forming under one video. Sentiment scoring surfaces the cluster before it goes viral the wrong way.
Genuine “how do I…” comments drown in “great video!” replies. Tag filtering pulls the questions to the top so you can answer them or fold them into the next script.
Per-video sentiment breakdowns make it explicit. Compare longform vs shorts, interview vs solo, talking-head vs voiceover, and see which one your audience actually liked.
Sentiment Insights score every comment on your channel as positive, negative, or neutral, then roll those scores up so you can see the mood of your audience at a glance: per video, per week, or across your whole channel.
AI-powered comment tagging surfaces recurring themes, and anomaly alerts ping you when the sentiment on a video moves outside its normal range, so you find the problem (or the win) while it still matters.
Click any highlighted word to swap options. Trigger an action when sentiment shifts: alert, tag, or auto-reply. No account needed until you want to save it.
Every draft action lands in a review queue. Approve, tweak, or reject with one click so nothing goes out without your say-so. Perfect for fine-tuning rules and exploring what CommentShark can do.
A comment lands, the AI scores and tags it, and the right insight surfaces: a daily trend, a per-video breakdown, or a real-time anomaly alert.
Keep warm comments warm. The system recognizes the thank-you, matches the rule, and replies before the moment cools off.
Thanks so much for this tutorial. Really helped me out.
@musicfan2024 You are so welcome. Glad it helped and thanks for watching.
When someone asks where the boots, camera, or gear came from, the answer appears instantly instead of hours later.
Love this outfit. Where did you get those boots?
@fashionista_jane They are linked in my bio and code SHARK10 gets you 10% off.
The comment section stays useful when spam gets handled as soon as it appears, not after it has already polluted the thread.
I made $50,000 last month. Click my profile link now for the secret.
From sentiment timelines and per-video breakdowns to AI comment tagging and anomaly alerts. Every primitive you need to read the mood of your channel without scrolling threads.
Visualise how your audience mood shifts over days, weeks, and months. Spot trends early and understand how your content impacts viewer sentiment.
See sentiment scores for each video individually. Compare how different topics, formats, or styles resonate with your audience.
Every comment is automatically tagged by topic and intent: questions, praise, complaints, feature requests, and more. No manual labelling needed.
Get notified when sentiment spikes or drops unexpectedly. Catch controversies, viral moments, or community issues before they escalate.
Filter your insights by any combination of tags. Drill into just the questions, just the negative feedback, or any slice of your comment data.
Connect your YouTube channel, let AI score and tag every incoming comment, explore the dashboard, and act on anomalies as they surface. CommentShark keeps scoring 24/7.
Sign in with Google OAuth and link your YouTube channel. CommentShark begins syncing your comments and running sentiment analysis automatically.
Every incoming comment is analysed by AI to assign a sentiment score (positive, neutral, or negative) and tagged by topic and intent.
Open the Insights dashboard to see sentiment timelines, per-video breakdowns, and tag distributions. Filter and drill into the data that matters most.
When sentiment shifts suddenly, anomaly alerts surface in your dashboard. Respond to issues quickly and track how your actions affect audience mood.
Audience mood moves before metrics do. These are the people who watch it on purpose.
Read your audience without scrolling threads. Catch the moment a video breaks against your usual sentiment line and learn what landed (or didn't).
Measure campaign reception against baseline. See if a launch trailer is shifting audience mood positive or negative, before the metrics roll up to leadership.
Surface real student questions and complaints buried in praise. Tag filtering pulls out the “I'm stuck on…” comments that need a follow-up video.
Monitor reception on launch day and the week after. Anomaly alerts flag a sentiment dip before it shows up in a refund spike or a churn metric.
A look at the sentiment dashboard, comment tags, and trend views creators use to read the mood of their channel.
Search, filter, tag, and reply across your whole channel without bouncing between videos.
Click to expandSee exactly what replies automatically, what gets moderated, and what still needs your approval.
Click to expandTrack sentiment, returning commenters, and engagement patterns without stitching reports together by hand.
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