ChatGPT vs Claude vs Gemini: Which AI is best for your business?
Artificial intelligence has moved quickly from something businesses were experimenting with to a tool many of us use every day.
But with ChatGPT, Claude, Gemini, Microsoft Copilot and new AI tools appearing all the time, another question has emerged:
Which AI should my business actually use?
The answer is not necessarily one platform.
At MoMac, we’ve found different AI tools have different strengths. Rather than trying to use every new platform that comes along, we’ve deliberately kept our main toolset relatively small.
It makes training easier, keeps processes more consistent and reduces the number of software subscriptions our team needs to manage.
For us, that generally means ChatGPT for everyday business and creative tasks, and Claude for a lot of our more technical development work.
Here’s how we see some of the major platforms.
What is ChatGPT good for?
ChatGPT is the AI platform most of our team uses day to day.
We find it particularly useful for:
- Brainstorming and developing ideas
- Drafting and refining written content
- Proofreading
- Summarising information
- Research assistance
- Working through business problems
- Creating basic images and visual concepts
- Developing storyboard concepts before a photo or video shoot
- Acting as a sounding board when developing an idea
One of ChatGPT’s biggest strengths is simply its accessibility.
You don’t need to be a developer or understand how AI works technically to start getting value from it.
For a business beginning its AI journey, that matters.
What is Claude good for?
Claude is another platform we use regularly at MoMac, particularly within our web development team.
Our developers use Claude to assist with tasks such as:
- Writing code
- Reviewing existing code
- Checking and validating code
- Troubleshooting technical problems
- Working through complex logic
- Exploring different approaches to a development problem
That doesn’t mean Claude is only useful for coding. It’s a capable general-purpose AI assistant too.
But within our business, development is where it has found its natural home.
Importantly, the developer still needs to understand what they’re looking at.
AI can produce code very quickly. That doesn’t automatically mean the code is correct, secure or the best approach to the problem.
What about Google Gemini?
Gemini is Google’s AI platform and is another major option businesses are likely to encounter.
Some members of our team have used Gemini from time to time, although it isn’t currently one of our primary platforms.
For businesses already heavily invested in Google’s ecosystem, it is certainly worth investigating, particularly as Google continues integrating Gemini into its products.
Our decision to primarily use ChatGPT and Claude isn’t because every alternative is inferior. We’ve simply made a conscious decision not to add another platform every time a new AI tool appears.
Sometimes standardisation is more valuable to a business than having every tool available.
What about Microsoft Copilot?
Microsoft Copilot becomes particularly interesting for businesses already working extensively within Microsoft 365.
Microsoft is integrating AI across tools businesses already use, including Word, Excel, PowerPoint, Outlook and Teams.
That can make Copilot attractive because AI isn’t necessarily another standalone tool employees need to learn. It can become part of their existing working environment.
Microsoft also provides enterprise data protection for its commercial Copilot products and says prompts, responses and organisational data accessed through Microsoft Graph aren’t used to train its foundation models.
So is ChatGPT or Claude better?
For us, that’s the wrong question.
A better question is:
What are you trying to achieve?
If you’re looking for an approachable general AI assistant for writing, ideas, problem solving and everyday business tasks, we’d probably start with ChatGPT.
For developers working extensively with code, we’d also seriously consider Claude.
If your organisation operates heavily within Microsoft 365, Copilot deserves consideration.
And if you’re embedded in Google’s ecosystem, Gemini is worth investigating.
There is nothing wrong with using more than one.
But there is also value in keeping your technology stack simple and making sure your team knows how to use the tools you choose properly.
Free AI vs paid AI for business
If AI is becoming part of your business workflow, we’d generally recommend looking at an appropriate business or commercial plan rather than automatically relying on free personal accounts.
There can be benefits around administration, privacy, security and data controls.
For example, OpenAI states that by default it doesn’t use inputs and outputs from ChatGPT Business to train its models. Anthropic similarly says inputs and outputs from its commercial products aren’t used for training by default.
But don’t assume that simply because you’re paying for an AI product, every privacy concern disappears.
Check the terms and settings of the specific platform and plan you’re using.
Regardless of the platform, businesses should also think carefully before uploading commercially sensitive, confidential, personal or client information.
The same rule applies to AI as it does to other software. Understand what you’re sharing, where that information is going and how the platform handles your data.
AI works better when you understand the subject
This is probably one of the biggest lessons we’ve learned from using AI at MoMac.
AI doesn’t remove the value of expertise.
In many situations, it actually makes expertise more valuable.
A developer can assess whether AI-generated code makes sense.
A designer can identify whether an idea will work visually.
A marketer can recognise whether a marketing strategy is realistic.
A copywriter can spot weak writing, questionable claims or the wrong tone.
Someone with subject knowledge is also better placed to ask the right questions, provide the right context and recognise when the AI has got something wrong.
AI can get you somewhere quickly. Experience helps you determine whether you’ve arrived at the right place.
How does MoMac use AI?
At MoMac, AI is primarily about making our team more efficient and helping us think.
We use it to brainstorm, proof work, explore ideas, assist with development, create concepts and act as another sounding board.
We also use AI-generated imagery from time to time for internal concepts and storyboarding, helping us communicate an idea before moving into the final creative process.
We’re not trying to replace our designers, developers, marketers, photographers, videographers or copywriters with AI.
We’re giving good people another useful tool.
Want to explore how AI could fit into your business or marketing?
Talk to the MoMac team about your digital and marketing strategy and where AI may genuinely add value.
