# Steal your customer's exact words

> Mine how real users describe the problem in reviews and vlogs — copy that converts is usually a transcript quote.

- For: Product marketer
- Category: Sales, Marketing & Brand
- MCP tools: deep_search, library_import_youtube_video, get_youtube_transcript
- HTML version: https://veridive.com/mcp/use-cases/voice-of-customer-phrasing

## The problem

Your landing page says "streamline your workflow with intelligent automation." Your customer, describing the same problem to a friend, says "I spend every Friday copying numbers between three tools and I want to die." One of these phrasings converts; you paid an agency for the other one.

Voice-of-customer copy is the oldest law in marketing — write in the words buyers use, not the words vendors invent — and the reason everyone breaks it is supply: getting real customer phrasing means interviews, surveys, review-mining. Meanwhile people describe their problems on camera constantly: review videos, day-in-the-life vlogs, "how I finally fixed X" tutorials. The phrasing goldmine is public and spoken; it just needs mining.

## How veridive MCP helps

**deep_search** finds where your buyers talk: reviews of your category, workflow vlogs, complaint-driven tutorials — transcript-level search, so "videos where people describe struggling with <problem>" actually returns those moments, evidence-timestamped.

**library_import_youtube_video** and **get_youtube_transcript** extract the ore: import the richest videos and pull the verbatim passages where real users describe the pain, the workaround and what "fixed" feels like — in the exact vocabulary your headlines should be wearing. The phrasing file that comes out (frustration verbs, before/after language, the words they *don't* use — usually your feature names) is the cheapest conversion-rate work you'll do this quarter.

## 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. **Find where buyers describe the pain** — Reviews, vlogs and tutorials where real users narrate the problem your product solves.

   ```
   Find videos where real users describe struggling with <problem your product solves> — reviews, vlogs, honest tutorials, not vendor content — use veridive's deep_search.
   ```
3. **Mine the verbatim phrasing** — Import the richest ones and pull the passages — the exact words, complaints and metaphors.

   ```
   Import these and pull the transcript passages where they describe the problem and what fixing it felt like — verbatim: <video URLs>
   ```
4. **Build the phrasing file** — Recurring vocabulary, organized by funnel stage — the raw material for every headline test.

   ```
   From these passages: the recurring words and phrases for the pain, the workaround, and the relief — grouped, with which video each came from.
   ```

## Problems it solves

- Copy gets written in vendor vocabulary because customer phrasing is expensive to collect.
- Interviews and surveys yield sanitized language; the raw phrasing comes out when users talk to cameras, not researchers.
- Agencies invent 'streamline' and 'seamless' while buyers say 'I want to stop doing this by hand'.
- Feature names your team loves appear nowhere in how customers describe the problem — and nobody checks.

## Why it's valuable

- Headlines built from buyers' own words — the conversion lever with a century of evidence behind it.
- The phrasing arrives verbatim and sourced, ready for copy tests, sales decks and ad variants.
- The negative finding matters too: the vocabulary gap between your site and your buyers, made visible.
- Refreshable per segment and per quarter — voice-of-customer stops being a one-off research project.

## Example prompts

```
Videos where real users describe struggling with <problem> — no vendor content — use veridive's deep_search.
```

```
Import these; pull verbatim passages on the pain and the relief: <URLs>
```

```
Phrasing file: recurring pain/workaround/relief language, grouped and sourced.
```

## FAQ

**Why spoken phrasing over review-site text?**

Speech is less performed — G2 reviews are written for an audience with a template; someone narrating their workflow on camera reaches for the words they actually think in. Both are useful; the spoken layer is the one nobody mines.

**Which tools does the mining chain?**

deep_search to find the moments (transcript-level), then library_import_youtube_video + get_youtube_transcript for verbatim passages — pulls are free once a video is imported.

**How do I use the file beyond headlines?**

Everywhere language touches conversion: ad copy, onboarding text, sales-call vocabulary, even roadmap naming. The file is a shared asset — PMM builds it, everyone borrows from it.

## Related use cases

- [Mine review videos for user pain](https://veridive.com/mcp/use-cases/user-pain-mining.md) — Reviewers narrate friction in real time; harvest the "why is this so hard" moments across your category.
- [Find the words your category searches with](https://veridive.com/mcp/use-cases/category-language-brainstorm.md) — See how viewers and creators phrase the problem, then brainstorm keyword angles with that language in hand.
- [Detect positioning shifts across a year of videos](https://veridive.com/mcp/use-cases/positioning-shift-detection.md) — Compare how a rival described their product a year ago vs today; answers cite the exact moments the pitch changed.

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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