# Run a brand-safety check before sponsoring

> Import the creator's channel, query the archive for landmines, and read comment sentiment — before the contract, not after.

- For: Brand manager
- Category: Sales, Marketing & Brand
- MCP tools: library_import_youtube_channel, deep_context, run_youtube_tool
- HTML version: https://veridive.com/mcp/use-cases/brand-safety-creator-check

## The problem

The sponsorship went live Tuesday. Wednesday, someone surfaces a three-year-old video where the creator says something your legal team describes as "incompatible with the brand," and now the campaign is a crisis-comms exercise with your logo in the screenshot. Everyone asks the same question: did nobody watch their old stuff? Nobody did. Nobody ever does — a mid-size creator has hundreds of hours of archive, and vetting means someone skimmed the last month and the media kit.

Brand safety isn't about the creator's recent, professionalized output — it's about the archive, the off-script moments, and the audience the content actually attracts. All three are checkable. Almost no one checks.

## How veridive MCP helps

**library_import_youtube_channel** ingests the creator's archive — the whole thing, including the era before they had a manager. **deep_context** interrogates it against your specific sensitivities: *"where does this creator discuss <topics your brand can't be near>? how do they talk when off script?"* — answers **cited to the videos and moments**, so legal reviews clips, not vibes.

**run_youtube_tool**'s `comment-sentiment` reads the third layer most vetting skips: the audience. Comments on recent uploads show who actually watches and how they behave — because your sponsorship runs *in that room*, and a creator with clean content and a toxic comment section is still a brand problem. Three layers, one afternoon, before signature.

## 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. **Import the full archive** — The whole channel, not the recent highlight reel — landmines live in the back catalog.

   ```
   Import <creator>'s full channel into my veridive library, tagged '<creator>-vetting': <channel URL> — use veridive's library_import_youtube_channel.
   ```
3. **Sweep for the landmines** — Your brand's specific sensitivities, asked directly against the archive, answered with citations.

   ```
   Across the imported <creator> archive: where do they discuss <sensitive topics for your brand>, and how do they talk in unscripted moments? Cite every instance.
   ```
4. **Read the room** — Comment sentiment on recent uploads — the audience your logo will be standing in front of.

   ```
   Run comment sentiment on their five most recent videos — what's the audience like, and is there toxicity the content doesn't show? <video URLs>
   ```

## Problems it solves

- Vetting covers the media kit and last month; the landmines are three years deep in the archive.
- Hundreds of hours of back catalog make manual review economically impossible per deal.
- The audience layer — who actually watches, how they behave — never gets checked at all.
- Post-incident, 'did nobody watch their old stuff?' has no good answer.

## Why it's valuable

- The archive check becomes affordable: full-catalog vetting per creator, an afternoon each.
- Findings arrive cited — legal and comms review actual moments, not summaries of fears.
- Comment sentiment surfaces the room your brand will stand in, not just the content.
- The same file re-checks in minutes at renewal time — vetting becomes a standing control.

## Example prompts

```
Import <creator>'s full channel, tagged for vetting — use veridive's library_import_youtube_channel.
```

```
Where does the archive touch <sensitive topics>? Every instance, cited.
```

```
Comment sentiment on their recent five — what's the audience actually like? <URLs>
```

## FAQ

**What does a full-archive vet cost?**

Imports are charged per video, so a big channel is a deliberate spend — weigh it against the sponsorship's size and the cost of the Wednesday screenshot. For smaller deals, import the last two years plus anything the sweep flags.

**What sensitivities should the sweep cover?**

Your brand's actual red lines — the list legal already maintains for ad placements. The sweep is only as good as the questions; bring the real ones.

**Is this the reverse of the brand-deal audit for creators?**

Exactly — same machinery, opposite direction. Creators auditing brands before pitching, brands vetting creators before signing. Both sides doing homework makes better deals.

## Related use cases

- [Vet influencers beyond follower counts](https://veridive.com/mcp/use-cases/influencer-vetting-beyond-followers.md) — Reach filters and content-quality verdicts show whether the audience is real and the content credible.
- [Audit a channel before pitching a brand deal](https://veridive.com/mcp/use-cases/channel-audit-for-brand-deals.md) — Import the brand's channel and query their content strategy so your pitch lands in their language.
- [Monitor a crisis as it unfolds on video](https://veridive.com/mcp/use-cases/crisis-video-monitoring.md) — Fresh-upload sweeps plus comment sentiment show how the story and the reaction are moving hour by hour.

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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