"Marketing teams need a framework that treats AI outputs as draft inputs, not finished assets, and evaluates them across two dimensions: brand integrity and legal risk."
"First is source and prompt validation. Teams should document how the output was generated, including prompt structure, source inputs and any retrieval systems used."
"Second is brand voice alignment. This involves checking tone, terminology, messaging hierarchy and positioning against established brand guidelines."
"Third is originality and copyright screening. Outputs should be reviewed for signs of derivative phrasing, recognizable structures or passages that resemble existing published content."
A four-stage audit framework is essential for marketing teams to evaluate Generative AI outputs. The first stage involves source and prompt validation to ensure traceability and identify potential copyright issues. The second stage focuses on brand voice alignment, checking outputs against established brand guidelines. The third stage is originality and copyright screening, which reviews outputs for derivative content. The final stage is a risk and compliance review, validating claims and ensuring substantiation for performance metrics before execution.
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