YouTube comment analyzer

Give Okou a video link. It reads the public comment thread and returns the themes, sentiment, recurring questions, content requests, useful criticism, and next actions, with the sampling limits stated.

Add the video whose comments you want read

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What is comment analysis?

Comment analysis combines sentiment with the topics and behaviours behind it. A single positive score is not enough; the useful part is knowing what viewers praise, question, object to, request, or repeatedly explain for one another.

A thread can contain the next production brief: viewers writing timestamps because there are no chapters, repeating a line that should become a clip, or asking the same unanswered question. Reading those signals turns the comment section into an actionable backlog.

Video link → comments read → themes → requests → what to make01Video link02comments read03themes04requests05what to make

What can comment analysis tell you?

Four things a view count cannot.

  • Themes and sentiment

    What viewers are discussing, how they feel about it, and where disagreement matters more than an average score.

  • Questions and requests

    Repeated questions, explicit asks, and the workaround a viewer built because something was missing.

  • Useful criticism and risk

    Specific confusion and objections worth addressing, with spam and toxicity kept separate from real feedback.

  • Next videos and replies

    Content ideas, pinned-comment opportunities, and the replies most likely to move the conversation forward.

How comment reading turns into the next video

A thread full of hand-written timestamps is a production brief. The workflow below takes the same source material through to a finished asset.

How comment reading turns into the next video01What is commentanalysis?02How commentreading turnsinto the nextvideo03Screenrecording toexplainer video

YouTube Comment Analyzer

A real public comment thread read three ways, with the sampling bias stated and commenter handles left out.

Generated with Okou

The Most-Liked Comments Are the Chapters Nobody Made

Six behaviour-based clusters across 40 real comments, with the finding that five viewers hand-built the video's missing timestamps.

Generated with Okou

Nobody Asked for Chapters. Five People Wrote Them.

Five requests ranked by evidence, including the ones nobody phrased as a request, plus the chapter list taken straight from the viewers.

Generated with Okou

Six Years Old, With Comments From This Week

The comment arrival curve across six years, what an evergreen shape changes about maintenance, and why the default sort understates recent volume.

De meilleurs résultats avec les connecteurs

Connect the channel and let Okou read each new comment thread the same way, then send you the questions, requests, risks, and content ideas that changed.

Connecteurs utiles

  • YouTube
  • Notion
  • Slack
  • Google Sheets

Screen recording to explainer video

Connectez les applications qui contiennent la matière première la plus récente. Réutilisez les étapes comme workflow. N'ajoutez une automatisation que lorsque le workflow doit démarrer sur un déclencheur ou un calendrier.

YouTube comment analyzer FAQs

How many comments does it read?

As many as the thread exposes, in the order the platform sorts them. The output states how many were read and how the sort biases the sample, rather than implying a census.

Does it name commenters?

No. Comment text is quoted because it is public; handles are left out because they add nothing to the analysis.

Can it compare two videos?

Yes. Give it both links and say what you are comparing — themes, sentiment, questions, requests, or how the audience changed between them.

Okou propose aussi : youTube channel audit et video to blog post.

Read every new thread instead of dipping into one

Connect the channel and let Okou read each new comment thread the same way, then send you the questions, requests, risks, and content ideas that changed.

Automate comment reading