Use case · Marketing

AI that understands
your marketing playbooks.

Campaign retros, brand guidelines, and ad sessions become marketing context graphs. Your team briefs from them. Your agents draft from them.

On the record

This has already happened, more than once. Each case links to the primary document, not to coverage of it.

  • UK advertising rules put responsibility on the advertiser even where campaigns are “entirely generated or distributed using automated methods”, and the regulator’s position is that disclosure alone is very unlikely to mitigate the harm caused by a fundamentally misleading message. Saying an ad was AI-made does not substantiate the claim it makes.

    CAP, Generative AI & Advertising (2023) and Disclosure of AI in Advertising (2025)

For marketing teams

Every brief starts from what worked before. New campaigns inherit the voice, the lessons, and the numbers.

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For AI builders

Marketing agents that write in your brand voice and learn from every campaign you run.

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Human in the loop

Correct it once. The context layer improves for every future answer.