Which AI fits your business: ChatGPT, Claude, Copilot or Gemini?

On your team, one person uses ChatGPT, another uses Claude, and Copilot recently appeared in Outlook. Someone suggests picking one tool. But which one? And does the choice matter for your company data?

The honest answer: none of the four is best at everything. It depends on where your work lives, what needs to happen to your data and whether the AI only has to answer or also has to act in your systems. Here we compare ChatGPT, Claude, Microsoft Copilot and Google Gemini for business use. The product information comes from the vendors' websites, checked on 18 October 2026. These products change quickly, so check what applies now before you choose.

The short answer

• Does your business run on Microsoft 365, with the work in Outlook, Word and Teams? Start with Copilot. With the paid licence it works with your email and documents, within the permissions that already apply.
• Does your business run on Google Workspace? Then Gemini is the obvious choice. The Gemini app is included in the Workspace Business plans.
• Does your team work a lot with long documents, contracts and writing? That's where Claude is strong.
• Do you want to experiment widely, with custom GPTs and lots of different tasks? Then ChatGPT fits.

Many businesses end up with two tools: the assistant that comes with their office suite, plus ChatGPT or Claude for the people who want more. Forcing one tool on everyone rarely works.

What is each one good at?

All four run on a large language model: a model that predicts what sounds likely, not what is true. So all four can be convincingly wrong. Always have amounts and numbers come from the source system. See preventing AI hallucinations.

A new ranking of the smartest model appears every month. For most business tasks, the difference between the four is smaller than the difference in how well they can reach your own data. So choose on fit and terms first, not on a benchmark.

ChatGPT (OpenAI)

Strong at open-ended tasks: writing, analysing, going through an export, preparing a meeting. With custom GPTs you set up instructions and documents for recurring work. For business there's Business, for teams of 2 to 200 people, and Enterprise for larger organisations (OpenAI). More in ChatGPT for business.

Claude (Anthropic)

Strong with long documents and writing: contracts, tender documents, policies. In a Project you give Claude fixed instructions and documents and share them with colleagues. For business there's Team, for teams of 2 to 150 people, and Enterprise from 20 seats (Anthropic). More in Claude for business.

Microsoft Copilot

Strong if your work lives in Microsoft 365. Microsoft has renamed Microsoft 365 Copilot to Microsoft Copilot. Copilot Chat is included at no extra cost in eligible Microsoft 365 plans and works with results from the web. With the paid Copilot licence it also works with the email, files and conversations the user has access to (Microsoft). More in Microsoft 365 Copilot for business.

Google Gemini

Strong if your work lives in Google Workspace. The Gemini app is included in Business Starter, Standard and Plus. Gemini in Gmail is in all three; some features in Docs, Sheets and Drive need Business Standard or higher (Google).

Business plans at a glance

All four have individual and business versions. The difference isn't how smart the model is, but control and terms: central user management, single sign-on, a data processing agreement and what happens to your data.

• ChatGPT: Business and Enterprise (OpenAI).
• Claude: Team and Enterprise (Anthropic).
• Copilot: Copilot Chat in eligible Microsoft 365 plans, and the paid Copilot licence as an add-on. For SMEs there's Microsoft Copilot Business (Microsoft).
• Gemini: included in the Google Workspace Business editions (Google).

Prices are on the vendors' pricing pages and change regularly. And don't budget for licences alone. Getting people to work with it and agreeing on rules takes more time than the purchase.

What applies to all four: company work doesn't belong on personal accounts. There, the employee decides the settings, and there's no data processing agreement between your organisation and the vendor.

What happens to your data?

Two questions matter: is your data used for training, and where is it stored?

Training on your data

• ChatGPT: by default, OpenAI doesn't use data from ChatGPT Business, Enterprise or the API to train models (OpenAI).
• Claude: on Team, Enterprise and the API, Anthropic doesn't train on your inputs and outputs by default. Feedback through the thumbs buttons may be used (Anthropic).
• Copilot: prompts, responses and data retrieved through Microsoft Graph aren't used to train the underlying language models (Microsoft).
• Gemini: Google doesn't use Workspace customer data to train models without the customer's prior permission or instruction (Google).

On free and individual accounts it depends on the user's own settings, and as an employer you have no view of those.

Where is your data stored?

• Copilot: for users in the EU, traffic stays within Microsoft's EU Data Boundary. The exception: Anthropic's models, which Copilot can also use, are currently outside it. Your admin decides whether they're switched on (Microsoft).
• Gemini: with Data Regions you choose the United States or Europe for Gemini prompts and responses, among other data. On Business Standard and Plus that covers storage. To keep processing in the region as well, you need Enterprise Data Regions, for example in Enterprise Plus or as an add-on (Google).
• ChatGPT: storage in Europe is available for new ChatGPT Enterprise and Edu workspaces, and for the API. Not on Business (OpenAI).
• Claude: in the Claude apps, Anthropic stores data in the US (Anthropic). If your data has to stay in Europe, you use Claude from your own software through Amazon Bedrock or Google Cloud Vertex AI in a European region (Anthropic).

The vendor sorting out its side doesn't mean your processing is in order. You still need a legal basis, an entry in your record of processing and rules on which data can go in. See the AI Act and GDPR: what you need to sort out and set the rules out in your AI policy.

Connecting your own systems

An AI assistant only becomes really useful when it can reach your own data. All four offer a route for that, and more and more often through MCP: the open standard that lets an AI assistant work with other software.

• ChatGPT: on Business and Enterprise, admins connect a custom MCP server and, after testing, publish it to the workspace, including actions that change data (OpenAI). See connecting ChatGPT.
• Claude: through connectors based on MCP. Per connector or per action you choose whether Claude may always do something, has to ask first or isn't allowed (Anthropic). See connecting Claude.
• Copilot: within Microsoft 365, through your own data in Microsoft Graph. For your own agents and other systems there's Copilot Studio, which can also connect an MCP server (Microsoft). See Copilot Studio and Copilot agents.
• Gemini: the Gemini app works with your Workspace apps. For systems outside Workspace, Google has a separate product, Gemini Enterprise, with connectors and the option to connect a custom MCP server (Google Cloud). See connecting Google Workspace.

Standard integrations are fine for searching, summarising and a simple change. They fall short when your system doesn't have one, such as an industry package or your own database, or when the AI has to follow rules the integration doesn't know. Then you build your own integration or MCP server, with the right permissions per action. We can connect any system, even when no standard integration exists.

An example: for Sprints & Sneakers we built an MCP server that lets the team manage the website through Claude. What Claude creates is first saved as a draft with a preview. Publishing is a separate step.

Watch one risk: a malicious MCP server or a document with hidden instructions can make an assistant do something you don't want. Only connect servers you trust. See prompt injection.

When do you use more than one?

More often than you'd think, and that's fine as long as you manage it.

• Office suite plus specialist: Copilot or Gemini for everyone, and a few ChatGPT or Claude seats for the people who write, analyse or experiment a lot.
• By task: Claude for long contracts, ChatGPT for marketing copy, Copilot for meeting notes in Teams.
• By route: the chat apps for employees, and a model through the API in your own software where data has to stay in Europe.

What you do need to set out: which tools are approved, which data may go into which tool and who owns it. Two approved tools are easier to manage than ten personal accounts. How to organise that is covered in AI governance for SMEs.

When are none of the four enough?

All four are assistants: an employee asks the question and decides what happens with the answer. That's enough for writing, summarising and finding things. It isn't enough when:

• the work has to start on its own, for example with every new request or email;
• the result has to land in another system, such as your ERP, CRM or planning;
• you want to record per action what happened and who approved it.

Then you need an AI agent. Often with the same model, but with a layer around it: your own integrations, permissions per action and a log. What you can build yourself is in building your own AI agent. How we build an agent that works in your own systems is covered under AI agent development.

How do you choose?

• Look at where your work lives: Microsoft 365, Google Workspace or mainly other software.
• Decide which data has to go in and whether it has to stay in Europe. That sometimes rules out an option straight away.
• Pick one task with volume and let two tools do it for a few weeks, with real documents.
• Move company work off personal accounts and choose a business plan.

Want to know where AI delivers most in your processes, and which tool fits? We map that out in the AI Opportunity Audit. Sometimes the answer is: the tool you already have, set up properly.

Sources, checked on 18 October 2026: OpenAI: business plans, OpenAI: business data privacy, OpenAI: data residency for ChatGPT, OpenAI: custom MCP servers in ChatGPT, Anthropic: plans and pricing, Anthropic: training on commercial products, Anthropic: server locations, Anthropic: regional compliance, Anthropic: connectors, Microsoft: Copilot licence options, Microsoft: data, privacy and security in Copilot, Microsoft: connecting Copilot Studio to an MCP server, Google: comparing Business editions, Google: generative AI privacy in Workspace, Google: Data Regions, Google Cloud: custom MCP server in Gemini Enterprise.