How to Use ChatGPT for Marketing Teams

Why Read This from an HCI Perspective

This article helps you see AI not merely as a ‘content-writing tool,’ but as an interaction partner that can reshape marketing workflows. For HCI/UX practitioners and researchers, it’s especially important because it prompts thinking about where users place their trust in AI, where they review it, and where they need to step in again. In particular, the end-to-end process from idea generation to execution is a strong example of how responsibilities can be divided between humans and AI.

CIT's Commentary

In marketing, the key isn’t ultimately ‘how smart ChatGPT is,’ but ‘where the human needs to intervene in the workflow boundaries.’ Draft generation is fast, but if you hand off beyond performance analysis or execution decisions, it’s easy to lose context. So what matters is not the model itself, but the interface that lets users review, edit, and approve the output. This is especially relevant in the domestic corporate environment, where there are many implicit rules—such as brand tone, legal review, and channel-specific operating guidelines—so simply importing global best practices can actually break the flow. This context leads to a research question: how should AI be designed not as an ‘automation tool,’ but as a ‘collaboration tool.’

Questions to Consider While Reading

• Q.In marketing work, after AI creates a draft, where are the points that require human intervention?
• Q.How should interfaces be designed to help users trust AI outputs at stages where numbers matter, such as performance analysis?
• Q.How should an AI workflow that reflects brand rules and approval processes in domestic marketing organizations differ from global products?