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Up to 200 comments per video are fetched, AI performs sentiment + theme analysis.
Sentiment chart, top comments, pain points, and content ideas, all on one screen.
Overall mood and score, plus a sentiment for each topic cluster
AI extracts recurring questions from comments
Viewer complaints and frustration areas
New video topics suggested by AI from comments
Most liked comments + their authors
Recurring words and concepts
How you search comments by keyword depends on whose video it is. For your own channel, YouTube comment search is built into YouTube Studio, and it is smarter than a plain keyword match: YouTube describes it as AI-assisted, so it looks for meaning, and a query like "questions about my microphone" can surface comments that never use those exact words.
You cannot search for comments from a specific user, and Studio search does not cover other people's videos. To search any other video's comments by keyword, the fallback is your browser's find command, which only matches comments already loaded on the page. YouTube Help: manage comments
Comment Analysis adds what a keyword search cannot: a read of the whole comment section on any public video, from overall mood to repeated questions.
A like count tells you people approved. Comment sentiment analysis tells you why, and whether the approval came with complaints attached. The report gives the comment section one overall mood (positive, neutral, negative or mixed), a score from 0 to 10 and a short summary. It then splits the discussion into three to six topic clusters, each with its own mood, which is where the useful detail lives: a video can be loved overall while one cluster is unhappy about audio or pacing.
You can analyze up to five videos at once. For each one the tool fetches up to 200 top-level comments in YouTube's relevance order, and the AI reads the 300 most-liked of everything it fetched.
Repeated questions are the clearest signal a comment section can give you. Each one means you left something out, explained it too fast, or touched a topic people want more of. The report pulls up to six recurring questions, what viewers want to see next, their complaints and their suggestions into separate lists, so you do not have to scroll through hundreds of comments to find them.
It also catches moments. When at least three comments point to the same timestamp, within about ten seconds of each other, the report groups them and says what viewers reacted to at that point in the video. A cluster of confused comments at the same timestamp is worth a pinned comment or a correction; a cluster of delighted ones tells you which part to repeat.
A practical routine is to answer the top questions directly in the comments this week, then note which ones deserve a video of their own.
YouTube comment analysis earns its keep when it changes what you publish next. The report ends with four to six action items, each tagged with a priority and a category (content, technical, engagement or format), plus the single theme the comment section is most excited about.
AI reads the comments for you and delivers a report.
Try Comment Analysis