This review is part of a larger series of LinkedIn newsletters titled The Human Side of AI: Cutting through the AI noise to show you how AI can be a powerful tool for your creativity, efficiency, and strategy.
The first thing to know about ChatGPT Business, the plan formerly called Team, is that by default OpenAI does not use your Business workspace data for training. That matters for market researchers, since much of the value of research is the competitive edge it gives you over peers, and you don’t want that edge leaking into a public model.
The next thing to know is that Business lets you limit the custom GPTs you build to specific people on your team, rather than exposing them to everyone.
You also get dedicated admin controls and team management that the individual Plus plan doesn’t include, plus training-exclusion by default and access to OpenAI’s latest models. (ChatGPT Pro is a separate, premium individual tier, so for a group of two or more the relevant choice is Business.) On price, Business is billed per user per month, at around $20/user/month on an annual plan or $25/user/month on a monthly plan, with a two-seat minimum.
What’s new since we last reviewed this tool in 2024: The big one first: OpenAI renamed ChatGPT Team to ChatGPT Business on August 29, 2025. Since our original review, Business added Projects, connectors to sources like Google Drive and SharePoint, and Deep Research. OpenAI is also retiring the Assistants API (the file workaround we mentioned) on August 26, 2026 in favor of the Responses API. Our Flexibility rating moves up as a result.
Here are a few ways we put these capabilities to work as market researchers. First, building and sharing custom GPTs with the team is the first step toward synthetic respondents. In the GPT builder you can add custom instructions to shape how a synthetic answers, and load a set of knowledge files, for example a batch of interview transcripts. The per-GPT knowledge limit is modest, historically around 20 files, so large corpora belong in the API, more on that below.
At Cascade, we’ve used the GPT builder to create synthetic versions of the buyers we study: research leaders, marketing leaders, product leaders, and sales leaders. We’ve also built synthetics for roles and personas that come up often in our studies. These let us pressure-test questions and speed up the early going, so we arrive at the first client conversation better prepared.
Note: To move past a single GPT’s file limit, you can lean on OpenAI’s API rather than the chat interface. The older Assistants API, with its 10,000-file ceiling, is being retired on August 26, 2026; its file search and stateful features now live in the newer Responses API (combined with Conversations), where a vector store can still hold up to 10,000 files. The capability carries over, so you can still bring a large volume of research data together with internal and external sources. You just build against the Responses API now.
A couple of newer Business features are worth knowing. Projects give you a persistent workspace to hold a study’s files, instructions, and chats in one place, and connectors let ChatGPT read from sources like Google Drive and SharePoint. Deep Research adds a multi-step secondary-research pass that returns a sourced report, useful for coming up to speed before a client kickoff.
One caution, since synthetic respondents are the exciting part. They’re a strong tool for rehearsing questions and stress-testing an interview guide before you talk to anyone. They are not a stand-in for real people. A synthetic reflects patterns in its training and your inputs, not this quarter’s shifting priorities or the hesitation in a real buyer’s voice. We use them to prepare for research, not to replace it.
Here are our ratings of ChatGPT Business from a market research perspective.
| Dimension | Rating | Rationale |
|---|---|---|
| Usefulness | 5 / 5 | Central to how we prep studies, from question design to synthetic buyers. |
| Power | 5 / 5 | Access to OpenAI’s current GPT-5-class frontier models. |
| Flexibility | 4 / 5 | Projects, connectors, Deep Research, and Responses-API file search open up far more than the original’s file limits allowed, though some workflow caps remain. |
| Security | 5 / 5 | No training on your Business data by default, plus SSO, SOC 2, and admin controls. |
| AI Washing | None | Genuinely AI, no dressing. |
For a research team that wants shared GPTs, data kept out of training, and a foothold in synthetic-respondent work, ChatGPT Business is still an easy call. It’s more capable than the version we first reviewed, and now it’s called Business.
Last updated: 7/7/2026