Using generative AI in creative production

AI can help marketing teams produce more content and explore new creative ideas, but speed alone does not make the results useful. Teams need to decide what to automate, what people should direct and what will keep their communications distinctive and credible.

What should guide our AI marketing decisions?

Let audience needs, communication purpose and brand strengths guide your AI marketing decisions, rather than adopting tools simply for speed or novelty.

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What makes our AI marketing content worth publishing?

AI marketing content is worth publishing when it gives customers clear value and conveys the brand meaning you intend, not simply when it increases output.

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How should we use AI to write brand content?

Use AI to understand the subject and explore ideas, then put human writers and editors in charge of the finished content.

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What keeps our brand recognisable across AI content?

Clear brand guidelines, voice and character keep your brand recognisable across AI content by giving people a consistent basis for prompting and refining outputs.

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What builds audience trust in our AI content?

Audience trust in AI content rests on a recognisable, accountable organisation whose reputation, values and behaviour support its communications.

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What keeps AI images in our brand style?

Human creative direction, clear style references and repeated refinement keep AI images aligned with your brand and campaign goals.

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How do we scale AI video for interactive experiences?

Scale AI video for interactive experiences by defining the content structure, connecting generation and processing in a shared production system, then curating the outputs.

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What can AI reveal about our brand sentiment?

AI can reveal the emotional tone of reviews and social posts, helping you compare brand perceptions with competitors and identify perceived strengths and weaknesses.

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