Analytics & Monitoring

Measure Campaign AI Impact

See whether your campaign changed how AI describes your brand.

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What this workflow does

Brand campaigns are measured in impressions, reach, and brand lift surveys. None of those metrics tell you whether the campaign changed how AI talks about you — which is increasingly where the buying journey starts.

This runs the before-and-after comparison directly in your data: visibility score, share of voice, sentiment, and citation source mix before the campaign launched versus after it ended. Broken down by AI model and by prompt cluster so you can see exactly where the campaign moved the needle and where it did not.

The output is evidence the marketing team can use to defend the campaign budget and sharpen the next one.

Example prompt

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Claude Code ChatBakers MCP connected

❯ Compare our ChatBakers data for the 30 days before [campaign launch date] against the 30 days after [campaign end date]. For each metric — visibility score, share of voice, sentiment, and citation count — calculate the absolute and percentage change. Break it down by AI model and by topic. Identify any new sources that started citing us during or after the campaign period. Return a structured campaign impact report.

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