# Campaign sentiment before and after

Category: Analytics & Monitoring

See whether your campaign changed how AI describes your brand

[Connect Notra MCP](https://www.usenotra.com/mcp.md?ntr=96Ge99WsrFqIYiBs)

[Build your own workflow](https://www.usenotra.com/docs/devtools/mcp?ntr=96Ge99WsrFqIYiBs)

## Prompt

```
Compare our GEO sentiment for the 30 days before [campaign start] with the 30 days after. Pull the overall score for each period, the sentiment analysis with the phrases AI uses to describe us and the strongest evidence quotes on both sides. Tell me whether the language shifted toward our campaign messaging, which engines responded most and which did not move at all. Post a before-and-after summary to #brand.
```

Runs on Notra MCP with Slack.

Notra MCP tools used: `get_geo_sentiment`, `get_geo_sentiment_analysis`, `list_geo_sentiment_evidence`, `get_geo_snapshot`

## What this use case can do for you

Brand tracking surveys take weeks to run and return a blended average of human opinion. They can't tell you what ChatGPT says when a buyer asks about you.

The agent compares sentiment before and after the campaign in minutes, shows how the language changed on each engine and quotes the answers.

Use it next to brand tracking as a faster signal of what buyers hear when they research with AI.


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[View all](https://www.usenotra.com/mcp/use-cases.md?ntr=96Ge99WsrFqIYiBs)