MCP

AI-agent format

Take the sentiment pulse under your videos

Comment summarizer and sentiment across your uploads: what's landing, what's confusing, what's brewing.

Social leadSales, Marketing & Brandrun_youtube_tool
The use case

The problem

Your brand's video comments are a live focus group that never invoices — and, like most free things, they get treated as worthless. Views and likes get reported; the comment layer, where the audience explains why in complete sentences, gets skimmed by whoever posts the videos, mostly for moderation. The insight — which messages land, which product claims draw skepticism, what confusion recurs, what's quietly heating up — stays buried under volume.

The buried part matters most on the downside: brand problems incubate in comment sections weeks before they trend. The team that reads its sections at aggregate level sees the temperature rising while it's still a comms memo, not a crisis.

The mechanics

How veridive MCP helps

run_youtube_tool's comment-summarizer and comment-sentiment industrialize the reading: run them across your uploads and the comment layer becomes a report — recurring themes, questions and complaints, with sentiment temperature per video, straight from URLs.

The cadence is the product: a monthly pulse across recent uploads shows which content styles draw warmth versus friction, which product messages generate skepticism worth PMM's attention, and whether any thread is heating abnormally. The focus group finally files its report — and the brewing-problem early warning comes free with it.

Step by step

How to run it

  1. 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. 2
    Run the monthly pulse

    Summaries and sentiment across the month's uploads — the aggregate read.

    Summarize the comments and sentiment on our last month's videos — recurring themes, questions, complaints, per video: <video URLs> — use veridive's run_youtube_tool.
  3. 3
    Flag what needs owners

    Confusion goes to product marketing, skepticism to comms, heat to whoever's on call.

    From that pulse: what confusion recurs (for PMM), what claims draw skepticism (for comms), and is anything heating up abnormally?
  4. 4
    Trend it over time

    Month-over-month, the pulse becomes a line — sentiment drift is the brand health metric dashboards miss.

    Compare this month's pulse to last month's: sentiment shift, new themes, resolved confusions?
Before vs after

Problems it solves

  • Comment insight stays buried under volume; reporting stops at views and likes.
  • Recurring confusion — free product-marketing signal — never reaches PMM.
  • Brand problems incubate in sections for weeks before anyone senior hears.
  • Sentiment is tracked nowhere between launch spikes.
The payoff

Why it's valuable

  • The free focus group finally reports: themes, temperature, drift — monthly, in minutes.
  • Early warning on brewing problems while they're still a memo.
  • Message skepticism routes to comms with examples; confusion routes to PMM with counts.
  • Works on competitor uploads too — their comment sections benchmark yours.
Copy & paste

Example prompts

Comments summary + sentiment for our recent uploads, per video: <URLs> — use veridive's run_youtube_tool.
What recurs: confusion (PMM), skepticism (comms), abnormal heat?
This month vs last: sentiment shift, new themes?
Questions

FAQ

Does this need any setup per video?

None — comment-summarizer and comment-sentiment run on public video URLs directly. The monthly pulse is a batch of URLs and two prompts.

How does this differ from social-listening tools?

Those track mentions across platforms; this reads the deep comment layer under specific videos — where audiences write paragraphs, not tags. Most listening tools skim exactly the layer this reads.

Should we run it on competitors' videos?

Monthly, yes — their sections show how their messages land and what their audience complains about, which is both benchmark and opportunity list.

Keep going

Related use cases

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.