„Which AI should we use: ChatGPT, Claude or Gemini?“ It is one of the most common questions businesses ask. And Microsoft Copilot often enters the discussion too.
The honest answer: all of them are capable, and they leapfrog each other with new models and features every few months. A ranking written today is outdated next quarter. What lasts is a good way to choose. This guide gives you that framework.
The main options
| Assistant | Company | Natural fit |
|---|---|---|
| ChatGPT | OpenAI | Broad general-purpose use, large ecosystem of integrations and custom assistants |
| Claude | Anthropic | Long documents, careful writing and analysis, coding work |
| Gemini | Organisations using Google Workspace (Gmail, Docs, Drive) | |
| Microsoft Copilot | Microsoft | Organisations using Microsoft 365 (Outlook, Word, Excel, Teams) |
These are general tendencies, not rules. Each assistant can do most everyday business tasks well. Test them on your own work.
1. Where does your work happen?
This is often the deciding factor.
- If your team lives in Google Workspace, Gemini built into Gmail, Docs and Drive saves copy-paste work
- If your team lives in Microsoft 365, Copilot in Outlook, Word, Excel and Teams has the same advantage
- If you need a standalone assistant that works across tools, ChatGPT and Claude are strong options, with connectors to many business apps
An assistant that sits where the work already happens gets used more.
2. What tasks matter most?
Make a list of your top 10 real tasks and test each assistant on them. Typical categories:
| Task | What to test |
|---|---|
| Writing | Emails, proposals, product descriptions in your languages and tone |
| Long documents | Summarising contracts, reports, transcripts |
| Data analysis | Uploading spreadsheets, calculations, charts |
| Coding | Scripts, debugging, explaining code |
| Research | Web search with sources |
| Images | Generating or editing visuals |
| Languages | Quality in Turkish, Dutch, German or your other languages |
Score each result on quality and how much editing was needed. A simple spreadsheet is enough.
3. Data protection and admin controls
For business use, this matters more than small quality differences:
- Business or enterprise plans with data protection terms (for example commitments not to train on your business data by default)
- Data processing agreement for GDPR
- Data residency options if required
- Single sign-on (SSO) and user management
- Admin controls: which features, connectors and integrations are allowed
- Retention settings and audit logs
Check the current terms for each vendor’s business plans. Consumer accounts are usually not the right choice for company data. Put the rules in your company AI policy.
4. Integrations and connectors
- Can it connect to your CRM, drive, email, ticketing and project tools?
- Does it support standards like the Model Context Protocol (MCP) for connecting tools?
- Can you build custom assistants for specific tasks (for example a support assistant with your policies)?
5. API and building your own solutions
If you plan to build AI into your own products or workflows (support bots, document processing, automation), look at the API, not just the chat app:
- Model quality on your tasks
- Pricing per token and options like caching and batch (see how to reduce LLM API costs)
- Rate limits and reliability
- Data handling terms for API use
Many companies use one assistant for employees and different models via API for specific workflows. That is fine.
6. Cost
Compare per-user pricing for the plans with the features you need, and check whether AI features are already included in your Microsoft or Google subscription. Do not pay for two overlapping tools for the same people without a reason.
How to run a fair comparison
- Pick 10 real tasks with real (non-sensitive) material
- Use the same prompts in each assistant (see 15 prompt templates)
- Let the actual users judge, not only IT
- Run it for two weeks, not one afternoon
- Check admin, security and integration requirements
- Decide, and review again in 6-12 months
Can you use more than one?
Yes, and many companies do: for example Copilot or Gemini for office work, plus another assistant or API for specific tasks. Keep the number of approved tools small enough to manage and support.
Frequently asked questions
Which AI assistant is the best?
There is no permanent winner. The best choice depends on your tools, tasks, languages and data requirements, and the leaders change regularly. Test on your own work.
Is it safe to use these assistants for company data?
With the right business plan, terms and policies, many companies do. Avoid consumer accounts for confidential information and check each vendor’s current data handling terms.
Should we wait for the technology to settle?
The productivity gains are available now (see what the research says). Choose a tool with flexible terms, train your team, and revisit the choice periodically.
Need help choosing and rolling out AI?
I help companies compare AI assistants on their own tasks, set up secure business accounts and integrate AI into workflows. See my AI integration service or request a consultation.