Why the ChatGPT App Store Could Be the Next Big AI Platform

The ChatGPT App Store arrived with almost no fanfare—but it has the potential to become the next major software platform, much like Apple’s App Store did for mobile. Instead of tapping icons on your phone, you’ll talk to AI, and it will call the apps and services you need behind the scenes.

In this article, we’ll break down how the ChatGPT App Store works today, why it matters for both users and SaaS companies, and what you can already do with real apps like Jotform, Canva, Photoshop, Apple Music, and TripAdvisor.

What Is the ChatGPT App Store, Really?

The ChatGPT App Store is a catalog of third-party apps and connectors that live inside ChatGPT. Instead of visiting a website or opening a separate app, you stay in a single chat and let ChatGPT talk to those services for you.

OpenAI hasn’t done a big public launch yet. The App Store was essentially soft-launched: it appeared in the ChatGPT sidebar, apps started showing up, and developers were quietly allowed to submit and update their integrations.

Despite the low-key rollout, usage is already significant. With ChatGPT reportedly serving hundreds of millions of active users, even a small percentage trying apps translates into massive traffic and real business opportunities for SaaS products that plug in early.

MCP: The Tech Behind These AI Apps

A key piece of this puzzle is MCP (Model Context Protocol), a standard originally introduced by Anthropic, the company behind Claude. MCP defines how AI models securely connect to external tools, APIs, and data sources.

ChatGPT apps are effectively built on top of this idea: ChatGPT becomes the front-end conversation layer, while MCP-style connections act as the bridge to other services. When you ask ChatGPT to do something that involves an app, it:

1) Understands your request in natural language.

2) Translates that into a structured call to the app (via an MCP-like connector).

3) Receives the result and explains or displays it back to you in the chat.

This turns ChatGPT into more than a chatbot—it becomes an AI operating system for other tools, similar to how mobile OSes became platforms for apps in the late 2000s.

Why the ChatGPT App Store Feels Like the Early iPhone Era

The current App Store experience inside ChatGPT is still basic, but it mirrors the early days of mobile app stores in some important ways:

1. Small, experimental ecosystem. Many apps are simple connectors or first versions. They do a few things well but don’t yet expose the full power of the underlying product.

2. Limited capabilities (for now). Early iPhone apps couldn’t do much compared to what’s possible today. Likewise, many ChatGPT apps today only support a subset of features—searching, listing, or simple actions—while richer UI and workflows are still evolving.

3. Huge long-term upside. Over time, mobile apps became the default way to do banking, social media, shopping, and more. The same pattern is likely for AI apps: instead of learning dozens of interfaces, people will increasingly ask one AI interface to “just do it” for them.

One of the biggest advantages of this model is that users don’t need to learn new UIs. They simply talk or type, and ChatGPT orchestrates the rest. That’s a powerful shift for both consumer and business software.

Real-World Examples: What You Can Do with ChatGPT Apps Today

Apple Music: Discover and Manage Music via Chat

The Apple Music connector shows how personal apps can become easier to use through ChatGPT. Once connected to your Apple account, you can ask things like:

• “What are some current trending pop songs?”

• “Find playlists similar to Panic! At The Disco.”

• “What are my top-played songs?”

ChatGPT uses the Apple Music app to search playlists, surface new tracks, and even create or add to playlists directly from the chat. It’s especially useful for discovery: instead of scrolling through endless lists, you describe what you like and let the AI curate for you.

Right now, the Apple Music app is mostly a connector—no rich UI, just actions triggered through chat. But it already demonstrates how conversational discovery can be better than traditional search inside a music app.

Canva + Photoshop: AI-Assisted Design and Editing

Design tools are also starting to plug into ChatGPT. Canva’s app lets you generate on-brand visuals directly from a prompt. For example, you can say:

“Create a square social media graphic that asks, ‘What makes your AI tick?’ in the Jotform style, using this logo.”

Canva then returns multiple design options based on your brand theme and the text you provided. You can choose the one you like, then open it in Canva for deeper editing if needed.

Photoshop’s app focuses more on image editing tasks. You can upload a photo and ask it to fix specific issues—like removing a strange artifact on the top of your head or smoothing out a background. The model uses Photoshop’s capabilities to generate a cleaned-up version, all from within the ChatGPT interface.

These examples hint at where things are going: chaining multiple apps together. You might generate a design in Canva, then refine it in Photoshop, all orchestrated through a single conversation.

TripAdvisor and Travel Apps: Early but Promising

Travel is another natural fit for AI orchestration. In theory, you could say:

“We’re spending a week at Disney World in Orlando with kids. Show me nearby attractions, with photos, and help me plan a schedule.”

Today, the TripAdvisor app inside ChatGPT is still limited. It’s better at hotel search and deals than at surfacing attraction photos or rich itineraries. In some cases, asking ChatGPT directly (without the app) can give better results because the app’s first version exposes only a narrow toolset.

Still, even this early state is useful for browsing hotels, viewing maps, and comparing options. As travel apps expand their capabilities and UI inside ChatGPT, they’ll likely become a go-to way to plan trips conversationally instead of jumping between multiple booking sites.

Jotform: A Full UI Inside ChatGPT

Most current apps are just connectors, but some, like Jotform’s ChatGPT app, already embed a real UI inside the chat. Once you connect your Jotform account, you can:

• Create new forms and quizzes from natural language prompts.

• See and interact with a live form preview inside ChatGPT.

• View submissions and analyze results without leaving the chat.

For example, you can type: “Create a quiz for third graders,” and the app will:

1) Let ChatGPT design appropriate questions and structure (based on its knowledge of forms and education).

2) Send that structured request to Jotform via MCP.

3) Render a full quiz form in an embedded UI panel, complete with a shareable link.

You can then test the quiz, share it, or click through to Jotform for advanced editing. The long-term goal is to make almost everything editable directly inside ChatGPT, turning it into a true control center for your forms and workflows.

This kind of deep integration is especially interesting for businesses that want to build real apps and workflows without code. If you’re exploring no-code tools, it’s worth also looking at how AI is reshaping that space in general—for example, platforms covered in our guide to the best AI no‑code app builders for businesses.

Why ChatGPT Apps Are So Powerful for Forms and Workflows

Jotform’s usage data shows thousands of ChatGPT-driven requests per day, and user interviews reveal why this pattern is so compelling. When ChatGPT is allowed to control a tool like Jotform, five strengths combine:

1. The model understands forms. Large language models have seen millions of forms across the web. They know common question types, validation patterns, and UX best practices. If you ask for a “summer camp application form” or a “third-grade math quiz,” the model already has a mental template of what that should look like.

2. It understands your business domain. If your organization has an online presence, the model has likely read similar sites. For a summer camp, it knows typical fields (parent info, emergency contacts, medical details, waivers) and can assemble a strong starting form without you specifying every field.

3. It understands Jotform itself. The model has been trained on documentation, user guides, and public content about Jotform. It not only knows what features exist, but—through the app connection—it can actually use them on your behalf.

4. It can orchestrate multiple tools. In more advanced scenarios, ChatGPT could create a form in Jotform, then embed it in a website, send responses to a CRM like HubSpot, or include it in a broader workflow. This is where AI agents and automation start to overlap, similar to how some no-code platforms and AI builders are converging, as seen in our overview of no-code tutorials for building real apps with AI.

5. It can use its memory about you. With ChatGPT’s memory enabled, the model can remember your business name, typical form styles, preferred tone, and recurring requirements. Later, you can simply say, “Create a new application form,” and it will infer that you mean a new summer camp application with your logo, address, and usual fields—no need to restate everything.

Combined, these factors make the ChatGPT + Jotform pairing much more powerful than using either tool alone.

Memory, Privacy, and Fresh Starts

ChatGPT’s memory is a double-edged sword. On one hand, it’s incredibly helpful for productivity: the more context the model retains about you and your business, the more it can anticipate your needs and reduce repetitive setup work.

On the other hand, there are valid reasons to limit or disable memory:

• You might be testing products or prompts and don’t want test data to pollute your long-term profile.

• Sometimes you want a completely fresh perspective, not constrained by what the model already “knows” about you.

ChatGPT lets you turn memory off in settings. With memory disabled, each conversation is self-contained: the model only remembers what’s in the current thread. For many power users and testers, this is the preferred mode today, though memory will likely become more central as AI agents mature.

Why SaaS Products Should Care About the ChatGPT App Store

If you’re building a SaaS or consumer product and you’re not in the ChatGPT App Store yet, you’re likely missing a major distribution channel. Consider the dynamics:

• ChatGPT has on the order of a billion users, with hundreds of millions active weekly.

• Many of these users are consumers, but a growing share are professionals and teams using ChatGPT for work.

• Those users increasingly expect to stay inside ChatGPT and “just ask” for things to happen—book a trip, generate a form, edit an image, analyze data—without learning a new interface.

In that world, the apps that plug into ChatGPT become far more discoverable and easier to adopt than standalone tools that require separate onboarding and UI learning. It’s similar to how mobile apps that launched early on the iPhone and Android gained a huge advantage as those platforms grew.

We’re still in the early days. Many apps are first drafts, and OpenAI itself appears focused on core model releases (like GPT-4.1 and beyond) rather than heavily marketing the App Store. But the underlying opportunity is clear: a single conversational interface that can call any tool you need.

What’s Next for the ChatGPT App Ecosystem?

There are still open questions. OpenAI has already sunsetted some high-profile projects (like Sora) without much warning, which makes developers understandably cautious. The App Store could become a long-term pillar of the ecosystem—or it could be reshaped as OpenAI’s strategy evolves.

That said, the direction of travel for AI is obvious: people want fewer interfaces and more capabilities in one place. They want to talk to an assistant that can:

• Understand their goals.

• Remember their preferences (when appropriate).

• Call the right tools and apps automatically.

• Return results in a simple, human-friendly way.

The ChatGPT App Store is one of the first serious attempts to make that vision real at scale. If it continues to grow, we may look back on this quiet soft launch the same way we look back on the early days of mobile app stores—small, limited, but the start of a massive shift in how we use software.