How should we use AI to write brand content?

Use AI to explore the subject before writing, particularly when technical complexity makes it difficult to get started. The Frameworks describes using conversational summaries to get to grips with topics ranging from manufacturing methods to cloud computing terminology. In one example, AI helped a writer understand the complexity of agentic AI and reduced the time spent getting oriented.

Use that conversational format to build your understanding, rather than treating the summary as finished brand content. Keep factual checking separate: a clear explanation is a starting point for understanding a topic, not a reason to accept every claim. The practical role for AI here is to make unfamiliar subject matter easier for the writer to approach.

Use generated ideas as creative starting points, not finished answers. A writer at The Frameworks describes receiving ten average, often cliched headlines, yet finding a verb in one suggestion that could work differently. The useful contribution was not a headline ready to publish, but a fragment the writer could develop.

Apply the same discipline to broader creative exploration: interrogate suggestions, test possibilities and choose what deserves further work. For its work presented at G42's Supercharged event, The Frameworks brought strategists, designers, writers and developers together to prototype ideas rapidly with AI, then interrogate, validate and select them. The team supplied the imaginative direction rather than asking the tool to determine what to make. For brand writing, keep people responsible for deciding which generated ideas are worth developing.

Give people control of the finished writing, including the argument, language and rhythm. The Frameworks argues that AI can assist writers without replacing the human judgment that makes content distinctive. When a writer asked ChatGPT to rewrite an article, the resulting words and turns of phrase did not feel like the writer's own voice.

Human writers and editors should therefore shape the final text, experimenting with language and word order to match the intended tone rather than accepting predictable phrasing. Useful assistance is not the same as finished copy that sounds recognisably like its author or brand.

A 2025 survey by Content Marketing Institute and MarketingProfs found that, among technology marketers using AI for content creation, mostly in North America, 53% reported improved content quality and 18% reported decreased quality. Keep AI's contribution subject to editorial judgment rather than assuming convenience guarantees quality.