What categories dominate the ChatGPT app store?
If you look at the raw app count in the ChatGPT App Store, Productivity appears to dominate. But that number is misleading. Once you strip out OpenAI's own built-in integrations (Gmail, Google Docs, Slack, Notion, Jira, and the rest), the picture changes. Business apps take the lead, and Productivity drops to a tie for third place.
We categorized all 147 third-party apps currently live in the store and found that Business apps account for 22, or 15.0% of the total. Lifestyle is right behind at 21 apps. Productivity and Finance are tied at 18 each. The old story about Productivity dominance was really a story about OpenAI's built-in connectors inflating the numbers. Here's what the category landscape looks like when you focus on genuine third-party apps.
The Full Category Breakdown
We tagged every app with its category (using the categories OpenAI assigns in the store) and mapped the distribution across 13 categories:
| Category | Apps | Share |
|---|---|---|
| Business | 22 | 15.0% |
| Lifestyle | 21 | 14.3% |
| Productivity | 18 | 12.2% |
| Finance | 18 | 12.2% |
| Shopping | 14 | 9.5% |
| Travel | 13 | 8.8% |
| Developer Tools | 10 | 6.8% |
| Education | 8 | 5.4% |
| Food | 6 | 4.1% |
| Design | 5 | 3.4% |
| Uncategorized | 5 | 3.4% |
| Collaboration | 4 | 2.7% |
| Entertainment | 3 | 2.0% |
The distribution is still top-heavy, but it's more balanced than the raw numbers suggest. The top four categories are separated by just a few apps, and together they account for over half the store.
The Big Three: Business, Lifestyle, and the Finance/Productivity Tie
Business, Lifestyle, and the Finance/Productivity pair together account for 79 apps, or about 54% of the store.
Business (22 apps, 15.0%) leads the pack. This includes CRM, marketing, hiring, and general business operations tools like HubSpot, Semrush, Clay, Adobe Acrobat, Amplitude, Conductor, Indeed, and Upwork. These are companies whose core products already revolve around data retrieval and workflow automation, which maps naturally to what third-party integrations can do inside ChatGPT.
Lifestyle (21 apps, 14.3%) is the largest consumer-facing category. Zillow, Redfin, AllTrails, Peloton, StubHub, Thumbtack, and Zumper are all here. These apps tend to be discovery-oriented (find a house, find a hike, find a contractor), which maps naturally to how people use ChatGPT. Worth noting: Lifestyle held steady from the raw count to the third-party-only count. Almost every lifestyle app is a genuine third-party integration, which suggests consumer brands see real value in building on ChatGPT.
Productivity (18 apps, 12.2%) and Finance (18 apps, 12.2%) are tied for third. On the Productivity side, Airtable, Asana, Monday.com, Klaviyo, Jotform, and Granola remain. On the Finance side, Stripe, PayPal, Gusto, Ramp, Morningstar, Kraken, and S&P Global make up a deeper category than you might expect. Finance is better-represented here than in most other app stores, which suggests that financial data retrieval is a strong fit for the ChatGPT conversational interface.
The cluster of Business, Lifestyle, and Finance at the top tells us where third-party developers are choosing to build: CRM and marketing tools, consumer marketplaces, and financial services. If your product touches any of these verticals, you're operating in the space with the most developer momentum.
Why Productivity Dropped
Productivity dropped from 45 apps (23.6%) in the raw count to 18 apps (12.2%) when we filter to third-party-only integrations. That's a 60% decline, and it reshuffles the category rankings.
The reason is straightforward: the built-in connectors that OpenAI builds and maintains (Gmail, Google Docs, Google Sheets, Microsoft Teams, Slack, Notion, Jira, Trello, Dropbox, and others) were all categorized as Productivity. These are the apps that sync your data into ChatGPT through OpenAI's own infrastructure, not through the third-party developer's own integration. When you remove them, what's left in Productivity are the tools that companies built themselves to plug into ChatGPT.
This matters because much of the apparent "productivity" presence in the store is actually OpenAI's own integration work, not independent development. The companies building their own integrations are disproportionately in Business, Lifestyle, and Finance. If you're a developer looking at the store and thinking "Productivity is too crowded," the third-party-only data suggests otherwise: the third-party Productivity space is no more crowded than Finance, and less crowded than Business or Lifestyle.
The Categories That Are Surprisingly Small
The bottom of the distribution is arguably more interesting than the top.
Entertainment has just 3 apps: Apple Music, Flixor, and Tarot. Entertainment is consistently top-3 in both the iOS App Store and Google Play, so its near-absence in the ChatGPT App Store stands out. No games, no streaming recommendation tools, no social media integrations.
Education has only 8 apps, even though ChatGPT is already one of the most-used tools for learning. Khan Academy, Coursera, Udemy, DataCamp, and Quizlet are there, but the category looks thin given how natural the use case is. "Help me learn about X" is one of the most common ChatGPT prompts, and only 5.4% of apps address it.
Food has 6 apps. DoorDash, Uber Eats, OpenTable, and WeightWatchers are the headliners. Recipe apps, meal planning tools, and grocery comparison services haven't shown up yet.
Collaboration has just 4 apps after filtering: Atlassian Rovo, Egnyte, Fireflies, and Zoom. The rest of what you might think of as "collaboration" (Slack, Notion, Microsoft Teams) lives in the built-in integration layer that OpenAI maintains directly.
Developer Tools: Smaller Than It Looks
Developer Tools is another category that shrinks meaningfully when you filter to third-party-only. It drops from 16 apps in the raw count to 10, because GitHub, Linear, and GitLab are all OpenAI-maintained integrations.
The third-party developer tools that remain are an interesting mix: Cloudinary, Lovable, Replit, Vercel, Netlify, and Statsig, among others. These are mostly newer, developer-experience-focused companies rather than large incumbents. If you're building developer tooling and considering a ChatGPT integration, you're looking at a category with only 10 competitors, not 16.
Notable Category Quirks
A few things stand out about how these categories are structured (or not).
Two categories from the raw data disappeared entirely. Business & Analytics (which had Ironclad, Pipedrive, and Zoho) and Messaging & Social (which had Front, Help Scout, and Zoho Desk) are gone from the third-party-only list. Every app in those categories was an OpenAI-maintained integration, which tells you how much of the store's apparent breadth comes from OpenAI's own work.
5 apps are completely uncategorized, including Spotify, which is arguably the most recognizable consumer brand in the store. MyFitnessPal, Function Health, Agentforce Sales, and WeightWatchers are also uncategorized. This suggests the category system is still being built out (or that some apps were onboarded before categories were finalized).
Collaboration (4 apps) and Productivity (18 apps) still have blurry boundaries. Atlassian Rovo and Zoom are in Collaboration, but Asana and Monday.com are in Productivity. You could argue Zoom is a productivity tool, and you could argue Asana is a collaboration tool. The distinction seems somewhat arbitrary.
What This Means for Developers
If you're thinking about building a ChatGPT app (or optimizing one you've already built), the third-party-only category data points to a few strategic observations:
Business is the most active category, and the most competitive. With 22 apps, it has the most third-party developer activity. If you're building a business tool, you need a clear differentiation story, because HubSpot, Semrush, and Clay are already there.
Finance is worth watching. Finance has 18 apps and is tied with Productivity, but financial tools tend to have high switching costs and deep data moats. If you have a financial data product, the ChatGPT App Store is a distribution channel where you'll face less competition than you would in a traditional app store.
Underserved categories have room to grow. Entertainment, Education, Food, and Collaboration all have single-digit app counts. If your product sits in one of these categories, you're competing against a handful of apps instead of dozens. Early movers in thin categories may benefit from higher visibility as the store grows and users start browsing by category.
Category assignment matters for discovery. As the ChatGPT App Store matures, browsing by category will likely become a primary discovery mechanism (just as it is in iOS and Android). Being in the right category, and making sure you're actually in a category (looking at you, Spotify), will matter for visibility.
The B2C gap is narrowing. The store still skews toward B2B and professional tools, but Lifestyle's second-place showing (21 apps, 14.3%) suggests consumer brands are starting to show up. The gap between B2B and B2C is smaller in the third-party-only data than it appears in the raw count, because many of OpenAI's built-in integrations lean B2B.
Open Questions
We're watching a few things as the store evolves. Will OpenAI consolidate its category taxonomy as more apps arrive? Will entertainment and social apps show up as ChatGPT's user base broadens? Does category size correlate with actual app usage, or are apps in smaller categories getting comparable (or better) engagement per app?
We don't have answers to these yet. But as the store grows from 147 third-party apps to 500 or 1,000, category dynamics will be a key factor in discovery, competition, and opportunity. The distinction between third-party apps and OpenAI's own built-in integrations will also become more important as developers decide where to invest.
Methodology
This analysis covers 147 third-party apps in the ChatGPT App Store as of February 2025. We excluded integrations built and maintained by OpenAI (like GitHub, Linear, Slack, and Google Workspace) to focus on apps that companies built and shipped independently. Categories reflect the labels assigned by OpenAI in the store. Apps listed as "Uncategorized" had no category tag at the time of analysis.
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