One toxic thread can sink a sponsored video
Buyers read the comments before they buy. A single pile-on under a campaign can cost you the client.
Catch spam, hate, and trolls 24/7 with keyword rules or AI moderation. Approval workflows keep brand-safe channels clean without anyone watching the inbox.
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Built for brands, agencies, and creators who need brand-safe YouTube comment sections at scale.
Trusted by 5,000+ creators, 5.1M+ comments readYouTube comment moderation is the work of keeping spam, scam links, hate speech, and trolling out of your comment section before they damage your channel. YouTube Studio gives you the basics, a blocked-words list and a hold-for-review setting, but those only catch literal word matches and never scale once a video takes off. That is the gap comment moderation tools fill.
To moderate YouTube comments at scale, write rules in plain language, like "if it looks like a scam link, delete" or "if it's hateful, hold for review", and CommentShark applies them across every video, 24/7, in over 100 languages. It matches by keyword, regex, or AI intent, so it catches the scam and impersonation comments a blocked-words list misses. This is how creators, brands, and agencies manage moderation across one channel or many, with an approval queue that gives the team a final say without slowing the queue down. Moderation is one half of the job: comment management covers replying and reporting too.
Brand-safe comment sections are not a nice-to-have. They are the difference between a sponsorship that converts and one that gets pulled. Here is what a single missed thread can do.
Buyers read the comments before they buy. A single pile-on under a campaign can cost you the client.
Ten brand channels, one small team. Harmful comments stay up for hours while your moderators sleep.
Your audience is global. Most moderation tools only understand English. CommentShark reads 100+ languages.
Coordinated attacks land when your team is offline. By morning, screenshots are already circulating.
Click any highlighted word to swap options. Try a moderation example or write your own. No account needed until you want to save it.
Switch a rule to hold its replies and every draft lands in a review queue. Approve, tweak, or reject in one click, and let it run on its own only once it has earned it.
Approve in the app
Skim the queue on the dashboard and clear it in a tap.
Approve from your inbox
Turn on Email to Approve and act on each draft right from the email.
Let your team approve
Invite a manager or VA with their own login. They clear the queue without ever touching your YouTube credentials.
A comment lands, the moderation rule matches, and the right action goes out: delete spam, hide toxicity, or hold for human review.
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 regex blocklists to multilingual AI classification and a human review queue, built for the way real moderation teams work.
Instant filtering with custom keyword lists, regex patterns, and blocklists. Catch known spam and competitor mentions in milliseconds.
Generative AI analyses comment intent across every language, detecting toxicity, spam, hate speech, purchase intent, and brand sentiment that keywords miss.
Edge cases and sensitive topics route to your approval queue. Your team reviews with full context and AI-suggested actions so nothing slips through.
Detect spam and toxicity in Spanish, Japanese, Arabic, Hindi, and 50+ more. No manual translation needed.
Live dashboards with comment volume, sentiment breakdown, moderation actions, and rule performance, so you can see what is working at a glance.
Connect your channel, configure the rules, route edge cases through approval, and watch the result land in your dashboard. CommentShark moderates 24/7 in the background.
Securely connect your YouTube channel via Google OAuth. We never see passwords, just the permissions needed to read and manage comments on your behalf.
Set up keyword filters, AI classification rules, and auto-reply templates. Use pre-built templates for common brand-safety scenarios or create custom rules tailored to each client.
Edge cases route to your approval queue. Review with full context and AI suggestions. Set confidence thresholds to auto-approve high-certainty actions.
Track moderation performance, sentiment trends, and engagement metrics in real time. Export reports for clients and stakeholders. Continuously refine your rules.
Whether you are protecting a single sponsored launch or moderating across an entire creator network, CommentShark scales with the team you have.
Keep your comment section brand-safe between sponsorship calls. Approval workflows let you sleep through the bad-faith pile-ons.
Protect sponsored content, product launches, and campaigns. Auto-reply to purchase intent. Turn comment sections into conversion funnels.
Auto-reply with product links and promo codes. Moderate unboxing and review videos. Convert engaged viewers into customers automatically.
Hold spam course-promotion replies for review, surface real student questions, and keep the comment thread useful for new viewers.
Real emails from creators
A look at the moderation queue, rule builder, and insights that keep brand teams in control.
Search, filter, tag, and reply across your whole channel without bouncing between videos.
See exactly what replies automatically, what gets moderated, and what still needs your approval.
Track sentiment, returning commenters, and engagement patterns without stitching reports together by hand.