MCP
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.
deep_searchlibrary_import_youtube_videoget_youtube_transcriptThe 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
- 1Connect 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.
- 2Find 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. - 3Mine 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> - 4Build 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
Reviewers narrate friction in real time; harvest the "why is this so hard" moments across your category.
See how viewers and creators phrase the problem, then brainstorm keyword angles with that language in hand.
Compare how a rival described their product a year ago vs today; answers cite the exact moments the pitch changed.
Run this in your own assistant
Connect the veridive MCP server to Claude, ChatGPT or Cursor and paste the prompts above — setup takes about two minutes.