ChatGPT vs Claude for Business: How I Use Both
ChatGPT is stronger for brainstorming, image generation, and sharing custom GPTs with clients. Claude produces more natural writing, handles complex strategy better, and offers Skills that carry your brand context across every conversation. Most service-based business owners will get the best results using both, but Claude is more than capable on its own if you choose to go all-in there.
According to The Insane App, over 2.5 million people cancelled their ChatGPT subscriptions in March 2026. According to Fortune, Claude shot to number one on the App Store after Anthropic refused a Pentagon deal that OpenAI subsequently signed. According to Anthropic, free Claude users increased by over 60% since January 2026, and daily signups quadrupled. The internet picked sides. Twitter got loud. Reddit got louder.
My side? I kept both apps open and got back to work.
I’ve been running my business on ChatGPT and Claude for months. I build and sell custom GPTs on ChatGPT. I build and sell Claude Project instructions. I write, strategise, and create content on Claude. I’ve installed Claude Skills that carry my brand voice, my blog structure, and my marketing frameworks across every conversation. And every month inside my community SheScales, I deliver AI toolkits built for both platforms, because my clients deserve options, not ultimatums.
The smartest AI strategy in 2026 isn’t choosing between ChatGPT and Claude. It’s knowing which one to open for which task. Here’s how that plays out in my actual business.
The short version:
ChatGPT and Claude have genuinely different strengths. Using both gives you better results than committing to one.
ChatGPT wins for distribution, brainstorming, image generation, and speed.
Claude wins for writing quality, strategic thinking, and deep brand context through Skills and Projects.
If you’ve left ChatGPT for ethical reasons, that’s a completely valid choice, and Claude can hold its own.
Building your AI assets to be platform-agnostic protects your business when platforms shift overnight.
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Why I Use Both (And Why Picking a Side Misses the Point)
The conversation right now is polarised, and honestly, I get it.
Anthropic refused to let the Pentagon use Claude for mass surveillance and autonomous weapons. OpenAI signed that same deal hours later. People are angry, and they should be allowed to make purchasing decisions that align with their values. If you’ve decided to leave ChatGPT over this, I completely respect that. Full stop. That’s a legitimate, values-driven business decision, and I’m not here to talk you out of it.
My decision to use both platforms was made months before any of this happened, and it was purely practical.
I started on ChatGPT. Built my entire product suite there. Over 40 custom GPTs across content creation, email, strategy, podcasting, and more. ChatGPT was home.
Then I started testing Claude for writing work, and the difference in output quality hit me almost immediately. It was more natural, and there were fewer AI tells that make your audience scroll past without stopping.
So I didn’t switch. I expanded. I kept building on ChatGPT while weaving Claude into my daily workflow for the tasks it handles better. My clients use different platforms depending on their preferences, and I wanted to meet them wherever they were.
Here’s what I’ve landed on: the question isn’t which platform is better. It’s which platform is better for the specific thing you’re about to do. And if you’ve chosen to use only one of them, you can still make that work brilliantly. This post will help either way.
This comes back to something I believe about AI in business generally: AI should carry the execution while you stay in the strategic decisions. Both ChatGPT and Claude can do that. They just do it differently. And being platform agnostic will always be a win in my book.
Takeaway: You don’t owe loyalty to a platform. You owe it to yourself to use the tools that serve your business, your values, and your time.
Where ChatGPT Still Wins in My Business
If it weren’t for custom GPTs, I’d probably lean much harder into Claude. But the distribution model for custom GPTs is something Claude simply doesn’t have yet, and for a business like mine, that matters.
I’ve built 40+ custom GPTs that my clients use daily. Callie writes their Instagram captions in their voice. Charlie generates 50+ strategic content ideas in minutes, mapped to attract, nurture, and convert. Cora turns a single idea into a full carousel. Winter writes entire welcome email sequences. Each one is trained with marketing psychology and brand voice rules built in, so the output actually sounds like the person using it, not like a chatbot on its best behaviour. They’re purpose-built tools, and hundreds of business owners use them to get their content done in a fraction of the time.
Claude doesn’t offer that yet. I’m building Claude Project versions of my tools (more on that shortly), but the delivery experience requires more from the client. They need Claude Pro, they need to set up the Project, they need to load reference documents. It works well once it’s running. Getting there takes a few more steps.
Beyond distribution, ChatGPT is genuinely better for brainstorming. When I need volume, when I need ten ideas fast, when I’m riffing and iterating and just need the AI to keep up with my brain speed, ChatGPT matches that energy. Claude is more considered. More thorough. Sometimes I don’t need thorough. I need fast and a bit chaotic.
Image generation via DALL-E is another reason ChatGPT stays in my stack. I use it for content visuals, social graphics, and quick concept mockups. Claude isn’t great at this yet.
Takeaway: ChatGPT earns its spot through distribution, speed, and creative breadth. It’s where I build products and brainstorm ideas. It’s not where I write anymore.
Where Claude Outperforms in My Business
Claude’s writing quality is what made me pay attention. It stayed because of everything else.
When I write blog posts, emails, sales copy, or anything long-form, I open Claude. The difference shows up in the first draft.
But writing quality alone wouldn’t justify a second subscription. What keeps Claude in my daily workflow is the combination of Projects and Skills.
Claude Projects are workspaces where I upload reference documents, set specific instructions, and give Claude persistent context about a particular area of my business. When I open my blog writing Project, Claude already has my blog structure, my SEO playbook, my internal links, and my voice rules loaded. I don’t re-explain a thing. I just start writing.
Claude Skills take this even further, and honestly, they’re the feature I think most people are sleeping on. Skills are reusable instruction sets that apply across every conversation and every Project. I have a brand playbook skill carrying my voice, my offers, my audience profile, and my messaging pillars. A blog writer skill with my full post structure and ideation methodology. An email subject line skill. A carousel creator skill. The list goes on….
Every time I open Claude, all of that is already active. No pasting a brand brief at the start of every chat. No “here’s my tone of voice” preamble. Claude just knows.
This is architecturally different from ChatGPT, and it’s worth understanding why. In ChatGPT, each custom GPT is its own island. Callie knows about captions but nothing about my blog structure. My blog GPT knows about blogs, but nothing about my email voice. They don’t talk to each other. In Claude, Skills create a shared intelligence layer that informs everything. That compounds over time in a way that’s hard to appreciate until you’ve experienced it.
According to Atom Writer, 85% of marketers now use AI content tools, but 81% struggle with brand voice consistency. Claude’s Skills architecture is the most effective solution I’ve found for that gap, because the voice context isn’t siloed inside one tool. It follows you everywhere.
If you want to see how AI assistants actually work in practice (either in ChatGPT or Claude), start with the two free ones I’ve created. They’ll help you turn a rough idea into clear, structured content in minutes, while showing you how assistants can carry execution inside your business.
Claude also pushes back in a way ChatGPT doesn’t. Give it a vague brief, and it’ll ask clarifying questions instead of generating something generic. Ask it to review a strategy, and it’ll tell you what’s weak. ChatGPT tends to agree with whatever you throw at it. For strategy work, Claude’s pushback leads to better output. Sometimes annoyingly better. But better.
One more thing worth flagging: Cowork. It’s Claude’s desktop agent tool. Cowork can execute tasks on your actual computer: managing files, auditing websites, and handling recurring workflows. It’s where Claude is heading, from chat assistant to something that actually does work on your behalf. Worth watching, even if you’re not ready for it today.
Takeaway: Claude handles my writing, strategy, and anything that needs deep brand context. Skills and Projects are the features that make it feel like Claude actually knows my business, not just my latest prompt.
Why I Build for Both Platforms
This is the part most “ChatGPT vs Claude” articles skip entirely. And I think it’s the most important part.
When I build a custom GPT, the instructions, voice rules, and strategic frameworks I create aren’t locked inside ChatGPT’s walls. They exist as standalone documents I own. My brand playbook is a reference file. My blog structure is a markdown document. My voice rules are a transferable set of instructions. Those assets can become a custom GPT, a Claude Project, or a Claude Skill, depending on the use case.
The #QuitGPT movement proved exactly why this matters. People who had invested months (or years) into ChatGPT, building custom GPTs, training memory, layering context, suddenly found themselves locked into a platform they no longer wanted to support. Their AI infrastructure wasn’t portable. The thought of starting from scratch on Claude was enough to keep some people on a platform they’d otherwise have left.
I didn’t have that problem because my instructions, my playbook, my frameworks all exist outside any platform.
When I decided to offer Claude versions of my products alongside the ChatGPT versions, the conversion wasn’t starting over. The strategic thinking, the voice documentation, the workflow design: all transferable. The instructions needed adjusting for how Claude handles context differently, but the intellectual property moved across cleanly.
For clients inside SheScales, this means they get both versions. They’re not locked into one ecosystem. If their preferences change, if pricing shifts, if they make an ethical decision about which companies they want to support, their tools still work.
Even if you only use one platform right now, here’s my recommendation: document your AI workflows in a way that’s portable. Write your voice rules as a standalone document, not just as ChatGPT custom instructions. Build your frameworks as reference files you own, not as prompts you’ve memorised. That way, you’re investing in your own intellectual property, not in someone else’s infrastructure.
And if the day comes when you need to move? You’ll be ready in hours, not weeks.
If you’re new to Claude and want to understand the platform before committing, [New to Claude? What I Wish I’d Known Sooner] covers the learning curve, the usage limits, and the features most new users miss.
Takeaway: Your AI assets should belong to you, not to a platform. Build them to be transferable and you’ll never be caught out when the landscape shifts, whether that shift is technical, financial, or ethical.
How to Decide Which One to Open
You don’t need a decision tree or a spreadsheet for this. You need one question: what’s the job right now?
Open ChatGPT when you need: Speed (quick first drafts, rapid brainstorming, volume over polish). Visuals (image generation for content, mockups, or social graphics). Distribution (a tool you want to share with a client or team member with one click). Exploration (riffing, testing ideas, playing with concepts before you commit to a direction).
Open Claude when you need: Writing that sounds like a human wrote it (blog posts, emails, sales copy, anything your audience reads). Strategic depth (offer audits, messaging refinement, business strategy, anything where you want the AI to challenge your thinking). Brand context (any task where your voice, your audience profile, or your frameworks need to inform the output; Skills handle this automatically). Long documents (analysing contracts, reviewing briefs, working with large reference material).
Choose only Claude if: You’ve decided to leave ChatGPT and want a single-platform setup that can handle the majority of your business needs. Claude with Projects and Skills is more than capable of running your content, strategy, and writing workflows on its own. You’ll miss image generation and the GPT distribution model, but for content-heavy businesses, Claude holds its own.
For anyone running both, the $40/month total pays for itself in the first week. If AI saves you 10 or more hours a week (and it should), the subscription cost is not the variable to optimise.
Be loyal to good results, not to a logo.
Takeaway: Match the tool to the task. Speed and sharing go to ChatGPT. Writing and strategy go to Claude. Both together give you coverage that neither provides alone. And Claude by itself is a strong choice if that’s where your values lead you.
FAQ
Is Claude better than ChatGPT for writing?
For long-form, nuanced content, yes. Claude’s output sounds more natural, requires less editing, and holds a consistent tone across longer pieces. ChatGPT is faster for quick drafts and brainstorming, but the writing quality gap has widened in 2026 after OpenAI acknowledged issues with their latest model’s prose. If writing quality is your primary concern, Claude is the stronger tool right now.
Should I cancel ChatGPT and switch to Claude?
That depends on your needs and your values. If you’re leaving ChatGPT for ethical reasons, Claude is a genuinely capable alternative that can handle most business content tasks on its own. If you’re choosing based on features, most serious AI users in 2026 use both and route different tasks to different tools. If you’re only paying for one subscription and your main need is content creation, Claude is the better writer.
What are Claude Skills?
Skills are persistent instruction sets that Claude applies across everything you do. You set up the skill and Claude is able to carry its knowledge into every conversation and Project from that point forward. Think of them as your brand’s operating system inside Claude. They’re the feature I wish more people knew about.
Can I use Claude for free?
Yes, with limited messages on a rolling window. Free users now have access to Projects and Artifacts, which is a significant upgrade from earlier in the year. The free tier is enough to test whether Claude suits your workflow, but if you’re using it for real business work, the Pro plan ($20/month) removes most of the friction around usage limits.
What’s the difference between a Custom GPT and a Claude Project?
Custom GPTs are shareable products. You configure instructions, upload files, and share them with a link. Your client clicks once, and they’re using it. Claude Projects are personal workspaces with deep context. You upload reference documents, set instructions, and Claude holds everything about that area of your business in memory. Different tools for different jobs: GPTs for distribution, Projects for depth.
Can AI actually write content that sounds like me?
Yes, but only if you train it properly. The reason most AI content sounds generic is because most people give AI zero context about their voice, their audience, or their offers, then wonder why it sounds like a robot. When you feed AI your voice rules, examples of your best writing, your audience profile, and clear instructions about what to do (and what to never do), the output shifts dramatically. This is exactly how I build my custom GPTs and Claude Projects. Callie, my Instagram caption tool, writes captions that my clients regularly describe as “sounding like me on my best day.” That’s not magic. It’s training. And it’s the same principle whether you’re on ChatGPT or Claude.
What to Do Next
Start with a free taste of what trained AI actually feels like.
Sloane is my free storytelling content tool. She’s available as both a custom GPT and a Claude Project, and she turns any real-life moment, a win, a lesson, a conversation, a frustrating Tuesday, into storytelling ideas that land. If you’ve only ever used a blank ChatGPT or Claude window, Sloane will show you the difference that purpose-built AI makes. She’s free, she’s instant, and she’s a good litmus test for whether this approach to AI is for you.
If Sloane makes you think “I want this for the rest of my content,” here’s where to go next:
For Instagram content specifically, Callie is my custom GPT that writes captions in your brand voice.
For the full AI-powered business setup, SheScales is my community where members get a new AI toolkit every month, built for both ChatGPT and Claude, with live coaching to implement. It’s for business owners who want AI doing 80% of the execution so they can focus on the 20% that actually requires their brain.
If you want to stop tinkering and start building your AI layer with structure and support behind you, that’s where we do it.
The AI landscape will keep moving. Platforms will update, pricing will shift, new features will drop, and new controversies will reshape how people feel about the companies behind these tools. The businesses that stay ahead are the ones who build their AI layer to be portable, intentional, and always in service of the work that matters.
Your tools should work for you. Not the other way around.
MEET THE AUTHOR
HEY, I'M SHERISE
I'm an AI educator and automation strategist helping women entrepreneurs remove the low-value work from their business so they can spend more time in strategy, creativity, and the work that actually moves the needle.
I build AI-powered tools that sound like you, work for you, and integrate into how your business actually runs — not how a generic productivity guru thinks it should.
If you found this post, you're probably already thinking about what's possible. Let's build it properly.