What Are Apps in ChatGPT?
Apps in ChatGPT are third-party products that run inside the conversation — with interactive UIs, real-time data, and the ability to take actions. Here's how they work and why they matter.
Apps in ChatGPT are third-party applications that live inside the ChatGPT conversation. They're not separate websites you get linked to. They're not browser extensions. They run right there in the chat — with their own interactive interfaces, real-time data, and the ability to take actions on your behalf.
When you ask ChatGPT to book a hotel, track a flight, or create a presentation, an app handles the actual work. ChatGPT orchestrates the conversation. The app provides the data, the UI, and the functionality.
This is the shift from "AI that talks" to "AI that does."
How Apps Are Different from Plugins and Custom GPTs
If you've been using ChatGPT for a while, you might remember plugins (launched and later deprecated in 2023) and custom GPTs. Apps are the third and most capable generation.
Plugins were background tools. They could fetch data and return text, but they had no visual interface. The user never saw the plugin directly — only ChatGPT's interpretation of the data it returned. They were useful but limited.
Custom GPTs are specialized ChatGPT configurations with custom instructions, knowledge files, and optional API actions. They're essentially ChatGPT personas. You interact with the GPT, not with an embedded application.
Apps combine both capabilities and add something entirely new: interactive UI components rendered inside the conversation. An app can display product cards, maps, booking forms, charts, playlists, and checkout flows — all within the ChatGPT interface. The user can click, select, scroll, and submit without leaving the chat.
The technical leap is significant. Apps aren't just tools the AI calls in the background. They're embedded products that collaborate with ChatGPT inside the conversation.
The Technical Architecture
A ChatGPT App has two components:
An MCP server or Apps SDK backend. This is the server-side logic that ChatGPT calls when it needs your app's functionality. It exposes tools — like search_flights, get_product_details, or process_payment — that ChatGPT can invoke with structured parameters. The backend connects to your existing APIs, databases, and services.
The Model Context Protocol (MCP) is an open standard that works across multiple AI platforms (Claude, ChatGPT, Cursor). The Apps SDK is OpenAI's native framework. Both achieve the same result: giving ChatGPT the ability to call your functions.
A web component frontend (widget). This is the UI that renders inside the conversation. Built with React using OpenAI's widget SDK, it receives structured data from your backend and displays it as an interactive interface. Think of it as a mini web app embedded in the chat.
The flow works like this: a user makes a request → ChatGPT identifies your app as relevant → ChatGPT calls your backend tool with parameters → your backend returns data → the widget renders the data as an interactive UI → the user interacts with the widget → the conversation continues.
What Apps Can Do
The capabilities break down into three categories:
Data retrieval. Apps can search, query, and pull information from external systems. Flight times, product inventory, real estate listings, course catalogs, financial data — anything your backend can access, the app can surface in the conversation.
Actions. Apps can do things on behalf of the user. Book a hotel, add an item to a cart, create a calendar event, send a message, process a payment. These actions happen through the backend tools, with the user confirming through the widget UI.
Interactive displays. Apps can render rich interfaces that go beyond text. Maps with location pins, image galleries, comparison tables, charts, forms, audio players, video embeds. The widget layer makes ChatGPT feel less like a chat window and more like an operating system.
Launch Partners and Examples
OpenAI launched apps with a set of high-profile partners that demonstrate the range:
Expedia and Booking.com for travel — search and book flights, hotels, and experiences. Canva for design — create presentations, social media graphics, and documents. Spotify for music — build playlists, discover new music, and control playback. Zillow for real estate — search property listings with natural language filters. Coursera for learning — find and enroll in courses based on your goals. Figma for design collaboration — work with design files and prototypes.
These aren't demos or limited integrations. They're full-featured product experiences running inside the conversation.
Why Apps Matter for Businesses
For users, apps make ChatGPT more useful. For businesses, they represent something bigger: a new distribution channel.
Intent-based discovery. When a user asks ChatGPT for help with something, the AI decides which app to recommend. This is fundamentally different from app stores or search engines. There's no browsing, no ranking page, no ad placement. The AI matches the user's intent to the most relevant app. If your product is the best match, you get the recommendation — at the exact moment the user needs you.
Collapsed funnels. In a traditional web experience, a user discovers your product, visits your site, browses options, creates an account, and eventually converts. In a ChatGPT App, all of this can happen in one conversation. Discovery, evaluation, and action happen in the same place.
Stickiness. Once a user has a positive experience with your app in ChatGPT, they're likely to mention it by name in future conversations. "Use [your app] to find me..." becomes a habit. This creates retention that's harder to achieve with traditional web products.
The Discovery Challenge
The flip side of intent-based discovery is that you have less control over when and how your app surfaces. ChatGPT decides which apps to recommend based on metadata relevance, historical reliability, and user engagement patterns.
This means your app's name, description, and tool descriptions are critical. They're how ChatGPT understands what your app does and when to suggest it. A well-described app with clear, specific tool descriptions will be recommended more often than a vaguely described one.
Reliability is equally important. If your app has a high error rate or slow response times, ChatGPT will learn to route around it. The AI favors tools that consistently deliver good results.
The challenge is measuring all of this. You need to know which tools are being called, how often, with what success rate, and whether users come back. Traditional web analytics can't answer these questions because there's no browser or webpage to instrument.
Measuring App Performance
This is where most app developers hit a blind spot. Your app is live in ChatGPT, users are interacting with it, but you have almost no visibility into what's happening. Standard analytics tools don't work because the interaction happens inside ChatGPT's interface, not your own.
Yavio is an open-source analytics platform built specifically for this problem. It captures every tool call, widget interaction, and error from ChatGPT Apps and MCP Apps, then surfaces the data in a dashboard with per-tool breakdowns, funnels, retention curves, and error analysis.
The integration is lightweight — a React hook (useYavio()) for widgets and a server wrapper (withYavio()) for MCP backends. Both capture events automatically without changing your existing code.
If you're building a ChatGPT App, adding analytics from day one means you'll know exactly which features users care about, where workflows break down, and what to build next.
Yavio is open source (MIT). Try Yavio Cloud free or self-host with Docker.