# Monitor a crisis as it unfolds on video

> Fresh-upload sweeps plus comment sentiment show how the story and the reaction are moving hour by hour.

- For: Comms lead
- Category: Media, PR & Comms
- MCP tools: deep_search, run_youtube_tool
- HTML version: https://veridive.com/mcp/use-cases/crisis-video-monitoring

## The problem

When a story breaks against your company, the war room watches Twitter and the news sites — text media, minute by minute. Video runs on a lag and a different physics: the first explainer drops within hours, the big commentary channels weigh in by evening, and each upload carries its own comment section — thousands of unprompted reactions telling you which version of the story is actually landing.

Video is where the crisis gets its durable narrative. The tweet cycle burns out in a day; the "what happened with <your company>" explainer gets recommended for months. Watching that narrative form — who's framing it, with what claims, to what audience reaction — is the difference between responding to the story and responding to last night's version of it.

## How veridive MCP helps

**deep_search** is the sweep: your company or crisis keywords, upload window pinned to `today` or `this_week`, sorted newest first. Each pass shows what's new since the last one — which channels picked it up, what the transcripts actually claim (evidence snippets mark where you're mentioned), and whether the coverage is reporting, opinion or pile-on, per the content-type labels.

**run_youtube_tool** reads the reaction layer: `comment-sentiment` and `comment-summarizer` on the biggest videos show how audiences are receiving each framing — angry, split, bored, moving on. That's the input your response actually needs: not just what's being said about you, but which parts the public believes. Re-run the pair every few hours and the war room has a video desk that never sleeps.

## 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. **Run the fresh-upload sweep** — Today's uploads on your crisis keywords, newest first. The evidence snippets show exactly where each video makes its claims about you.

   ```
   Find videos uploaded today about <company/crisis keywords>, newest first — what does each one claim? Use veridive's deep_search.
   ```
3. **Read the reaction layer** — Comment sentiment on the highest-traction videos: which framing is landing, and how hot the audience runs.

   ```
   For the biggest of those videos, summarize the comments and their sentiment — what does the audience believe and how angry are they: <video links>
   ```
4. **Brief the room on a cadence** — Repeat every few hours; the delta between sweeps is the story's velocity — accelerating, mutating or dying.

   ```
   Compare this sweep to the previous one: new videos, changed claims, sentiment shift. Draft a three-bullet update for the comms team.
   ```

## Problems it solves

- War rooms watch text media while the durable narrative forms on video, unmonitored.
- The reaction layer — thousands of comments per video — is unreadable manually at crisis speed.
- You learn which framing stuck only after it's stuck; by then the explainers are recommended content.
- Video coverage arrives on a lag, so the crisis feels 'over' on Twitter while it's peaking on YouTube.

## Why it's valuable

- The video desk runs on prompts: hourly sweeps without hourly headcount.
- Claims come with evidence timestamps — legal and comms review the exact moments, not summaries of summaries.
- Comment sentiment tells you which parts of the story the public actually believes — the response can target that.
- Sweep-over-sweep deltas measure velocity: escalate, hold, or stand down with data.

## Example prompts

```
Videos uploaded today about <crisis keywords>, newest first, with their claims — use veridive's deep_search.
```

```
Comment sentiment + summary for these videos: <links>
```

```
Delta vs the last sweep: new videos, changed claims, sentiment shift — three bullets for the team.
```

## FAQ

**How fresh is 'fresh' here?**

The upload-date filter goes down to the last hour; a video is sweepable once it's uploaded and transcribable. For most crises, a two-to-four-hour cadence tracks the narrative's actual speed.

**Can it monitor competitor crises too?**

Identically — and it's worth doing: how a rival's crisis coverage formed, and which of their responses moved sentiment, is the playbook study you want before your own bad week.

**Does this replace a media-monitoring service?**

It covers the video layer most services skim — with transcript-level claims and comment-level reaction. Text and broadcast monitoring stay whatever you use; this is the desk they've been missing.

## Related use cases

- [Watch for topic spikes and escalate](https://veridive.com/mcp/use-cases/topic-spike-watcher.md) — Scheduled fresh-upload sweeps detect when your keyword's video volume jumps; chat drafts the alert with context.
- [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.
- [Follow regulation that hits your industry](https://veridive.com/mcp/use-cases/regulation-radar.md) — Filter to fresh uploads from legal and policy channels, then get a grounded brief on what's changing and who says it matters.

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