From user-generated content to AI-generated content.

A robot standing in a room full of speakers and a dance floor.

UGC brought real customer voices into marketing content, but it also brought risks.

To tackle this, costly and manual moderation systems were introduced to filter it, making sure it matched a brand's values and image before being published.

AI-generated content is the next evolution after UGC. Generative AI offers vast opportunities, capable of driving countless brand experiences. Like UGC, it needs careful handling for brand safety. The solution? Smart prompt engineering for real-time content moderation during generation. This allows us to guide the AI away from undesired topics with prompts like:

Do not speak about celebrities, famous people, or politicians. Do not speak about topics that involve politics or religion. Do not speak about race or ethnicities.

We can even use prompts to review the AI's output for added assurance, such as:

Follow these rules:

  1. Does the content involve any celebrities, famous people, or politicians? If yes,then state "Rule broken."
  2. Does the content involve topics that reference politics or religion? If yes, then state "Rule broken."
  3. Does the content involve topics that reference race or ethnicities? If yes, then state "Rule broken."

Using these prompts drastically reduces the need for expensive, manual moderation. This keeps AI content aligned with the brand's tone and message. Simply put, generative AI is like a supercharged version of UGC, but tailored precisely and self-validated for accuracy. For brands, it translates to efficient content creation in harmony with their ethos.

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