# Mine comments for your next ten videos

> Comment summarizer surfaces the questions your audience keeps asking under your videos and your rivals' — answered demand, pre-validated.

- For: Creator
- Category: Content Strategy & Creators
- MCP tools: run_youtube_tool
- HTML version: https://veridive.com/mcp/use-cases/comment-section-idea-mine

## The problem

Under every decent video sits a focus group that paid for itself: hundreds of comments where your audience tells you, unprompted, what confused them, what they want next, and which thirty seconds they'd watch a full video about. Creators know this in theory. In practice, comment sections get skimmed for praise and trolls, and the request layer — "please make one about X", "you lost me at the part where...", "does this work for Y?" — scrolls past unmined.

Multiply by your whole channel, then by your competitors' channels (whose audiences are your audience), and there's a content calendar sitting in plain sight: ideas pre-validated by the exact people who'd watch them, expressed in the exact words they'd search with.

## How veridive MCP helps

**run_youtube_tool**'s `comment-summarizer` reads the whole section so you don't: recurring questions, requests and confusion points, aggregated and ranked by frequency instead of by recency and rage. `comment-sentiment` adds the temperature — which themes come with enthusiasm (make that video) versus frustration (fix that gap).

Run it across your recent uploads and the mine produces your backlog; run it across your competitors' biggest videos and it produces theirs — the requests *their* audience made that they haven't fulfilled. Both passes work on any public video from its URL. The output isn't inspiration; it's demand, counted, in the audience's own phrasing — which doubles as your title draft.

## How to run it

1. **Connect veridive MCP** — One-time setup: add the veridive MCP server to Claude, ChatGPT, Cursor or any MCP client and generate your API key. Takes about two minutes.
2. **Mine your own sections** — Recent uploads, comment summaries, requests extracted and ranked by recurrence.

   ```
   Summarize the comments on these videos of mine and pull out every question and video request, ranked by how often it recurs: <video URLs> — use veridive's run_youtube_tool.
   ```
3. **Mine the competition's sections** — Your rivals' audiences are telling them what to make — and they're mostly not listening. Same pass, their biggest videos.

   ```
   Same analysis on these competitor videos: what does their audience keep asking for that they haven't made? <video URLs>
   ```
4. **Turn requests into the backlog** — Merge, dedupe, rank — and keep the audience's phrasing; it's your best title language.

   ```
   Merge both passes into a ranked idea backlog: request, frequency, source videos, and a working title using the audience's own wording.
   ```

## Problems it solves

- Comment sections get skimmed for vibes while the request layer scrolls past unread.
- Recurring questions are invisible when you read comments video-by-video — recurrence only shows in aggregate.
- Competitor audiences broadcast unmet demand daily, to nobody.
- Ideation runs on inspiration when a counted, pre-validated backlog is sitting under every upload.

## Why it's valuable

- Every idea arrives pre-validated by the people who'd watch it — demand before production.
- The audience's phrasing comes with it: titles and thumbnails in the language viewers actually use.
- Competitor mining finds requests with proven audiences and no supplier.
- Ten minutes per batch of videos — the focus group runs on a prompt.

## Example prompts

```
Summarize comments on my videos and rank every recurring request: <URLs> — use veridive's run_youtube_tool.
```

```
What does this competitor's audience keep asking for that they haven't made? <URLs>
```

```
Merge into a ranked backlog with working titles in the audience's phrasing.
```

## FAQ

**Does this need any import or setup per video?**

No — comment-summarizer and comment-sentiment run on any public video straight from its URL. Batch as many as you like in one conversation.

**How does it handle huge comment sections?**

That's the point — aggregation is what humans can't do at volume. The summarizer works over the section and surfaces recurrence; you read the ranked output, not the raw thousands.

**Is mining competitor comments fair game?**

It's public audience feedback on public videos — the same signal their team could read and mostly doesn't. Fulfilling unmet requests isn't taking anything; it's answering people faster.

## Related use cases

- [Reverse-engineer why a video took off](https://veridive.com/mcp/use-cases/why-that-video-took-off.md) — Most-replayed segments plus comment sentiment show what actually hooked viewers — pattern-match it before your next upload.
- [Find the gaps your niche hasn't covered](https://veridive.com/mcp/use-cases/content-gap-finder.md) — Ask what questions keep coming up with weak answers; the uncovered intersection is your content calendar.
- [Take the sentiment pulse under your videos](https://veridive.com/mcp/use-cases/brand-video-sentiment-pulse.md) — Comment summarizer and sentiment across your uploads: what's landing, what's confusing, what's brewing.

---

Part of the veridive MCP use-case library: https://veridive.com/mcp/use-cases.md
Server docs for agents: https://veridive.com/mcp.md