How to choose between Copilot, ChatGPT and Gemini for your business

Almost every SMB leader we talk to is wrestling with the same question: do we go all-in on Microsoft Copilot, give the team ChatGPT, or look at Google's Gemini because we're already on Workspace? It feels like an irreversible decision and a meaningful slice of budget, and the vendors are all confident that they're the obvious answer. They can't all be right.

The honest answer is that the choice is less about which model is 'best' (they're all very good and the gap narrows every quarter) and more about which one fits the shape of your business. Here's how to think about it without getting lost in benchmark wars.

Start with where your work already lives

If 80% of your team's working day is in Outlook, Teams, Word, Excel and PowerPoint, Microsoft Copilot has a structural advantage that no benchmark will tell you about. It's embedded in the apps people are already using, it has access to their files and emails (with permissions), and it can summarise a Teams meeting you were in or draft a reply to an email thread you're staring at. The friction to use it is close to zero.

If your team lives in Google Workspace - Docs, Sheets, Gmail, Meet - the same logic applies in reverse for Gemini. Gemini for Workspace is now genuinely capable and tightly integrated, and asking a Workspace shop to do their day job in a separate ChatGPT tab is just adding a layer of toggling.

ChatGPT, by contrast, lives in its own tab. That sounds like a disadvantage, but it's actually its strength: it's an unopinionated general-purpose tool that doesn't care what suite you're on. For teams whose work is research, writing, coding, or analysis that doesn't naturally start inside a Microsoft or Google file, that separation can be liberating rather than annoying.

Match the tool to the work, not the work to the tool

A useful mental model: Copilot and Gemini for Workspace are best at the embedded work (drafting, summarising, retrieving from your own files). ChatGPT (and Claude, increasingly) are best at the deep work (long-form analysis, complex reasoning, coding, building custom GPTs/projects, document interrogation). A lot of mature SMBs end up with both: Copilot or Gemini for the everyday office tasks because the integration pays for itself, and ChatGPT Team or Enterprise for the heavier thinking.

If that sounds like double-paying, do the maths properly. Copilot at roughly £24 per user per month is justified by saving each user even 30 minutes a week. ChatGPT Team at roughly £20 per user per month is justified by one good analysis a fortnight. Both bars are very low.

Look at the data and security shape

This is where the choice often actually gets made in an SMB. Microsoft Copilot inherits your existing Microsoft 365 permissions, sensitivity labels and data residency. If you've done that work - even partially - Copilot slots in without a separate security review. ChatGPT and Gemini are good on security too, but they're a new vendor relationship, a new DPA, and a new conversation with whoever owns risk in your business.

Conversely, if you're a small services business with light Microsoft hygiene and no labelled data, Copilot will happily summarise the sensitive HR folder that the entire company has had read access to since 2019. That's not Copilot's fault - it's a pre-existing problem the tool will expose - but it changes the rollout cost meaningfully. ChatGPT, used in a controlled way with no automatic access to your file estate, can actually be the lower-risk starting point in that scenario.

Think about who's going to use it

Copilot's strength is also its weakness: because it's embedded, people use it for the obvious in-app tasks (summarise this email, rewrite this paragraph) and often never explore further. The full value - cross-app reasoning, custom agents, deep Excel analysis - takes deliberate training to unlock.

ChatGPT's separateness forces a different behaviour. People go to it on purpose, with a task in mind, and they tend to push it harder. The trade-off is that fewer people in the business actually open it - it's the curious 30% who get enormous value while the other 70% never log in. That's fine if your goal is power-user productivity; less fine if your goal is broad organisational uplift.

Gemini sits between the two in adoption terms but is catching Copilot fast on integration depth for Workspace shops.

A decision framework that usually works

Three quick filters get most SMBs to a sensible answer.

• Which suite is your business actually on day to day? That's your default for embedded AI. Microsoft 365 - Copilot. Google Workspace - Gemini. Neither / mixed - ChatGPT.
• Do you have heavy thinking work (research, analysis, long documents, complex writing) that justifies a second tool? If yes, add ChatGPT Team or Claude for Teams alongside.
• What's your data hygiene like? If you're confident in permissions and labels, the embedded route is genuinely the lowest-friction. If you're not, start ChatGPT-first while you tidy up, then layer Copilot or Gemini in once the underlying data is in better shape.

The honest summary

There is no objectively best AI assistant for SMBs. There's a best one for your suite, your work, and your data posture. In our experience the modal SMB ends up with Copilot or Gemini for the everyday embedded work, and ChatGPT for the deep work that doesn't fit neatly into a Word doc. The combined bill is well under what one new hire costs and the productivity gain across a 30-person team is, in our measurement, somewhere between one and three FTE-equivalents of saved time per quarter. The mistake to avoid is treating this as a religious choice. Pick what fits the shape of your business, run it for a quarter, and adjust.