Listing and promotion: content, localization, release notes

1. The listing as part of the product, not “a checkbox form”

A developer who reaches the Store for the first time often treats the listing like “yet another long form I need to fill with something.” It’s like writing a README in a repo at 3 a.m.: “I’ll rewrite it properly later.” Spoiler: people usually don’t.

For a ChatGPT App, the listing is the first — and sometimes the only — thing a user sees before they click “Try” or scroll on. The name, subtitle, short description, list of scenarios, icon — all of this works like a mini landing page.

Besides, the listing affects not only people but ChatGPT itself. Metadata (name, categories, description) participates in discovery mechanisms. When the model chooses which App to suggest for a specific query, it also relies on the texts you put here.

Official guidelines require that the App’s name and description be clear, accurate, and not misleading with respect to functionality. No “we’re a magical AI that does everything” or “official client of X” unless that’s actually true.

In other words, at this step you are doing three things at once:

1. Explaining to a human why your App exists at all.
2. Giving hints to Store and ChatGPT algorithms about when your App is appropriate to suggest.
3. Laying the foundation of trust: promise exactly what you actually do, with no magic or dark patterns.

2. The skeleton of a ChatGPT App listing

Specific Store UIs may change fields and appearance, but the logical skeleton is almost always the same. What’s typically needed today for a ChatGPT App with a UI widget:

A reminder from the start of the lecture: guidelines require that names and descriptions be clear and honest, without pretending to be an “official client of something.” The table above breaks this down by concrete listing fields.

All of this feels a bit bureaucratic until you put yourself in the user’s shoes. You open the Store, you see a pile of cards, you have five seconds of attention. Looking at GiftGenius, you want to immediately understand:

• is this App even about my tasks?
• is it safe and won’t do weird things with my data?
• is it different from a regular ChatGPT conversation?

Your listing should answer these questions.

3. Name and subtitle: how not to shoot yourself in the foot

Criteria for a good name

An App name plays several roles at once: people say it in conversation (“turn on GiftGenius”), type it in search, and see it in a list. So the ideal name:

• is short and memorable;
• conveys the core idea (GiftGenius → “something about gifts and ‘smartness’”);
• doesn’t infringe others’ trademarks;
• doesn’t promise the impossible and doesn’t pretend to be an official client of someone else’s platform.

The same OpenAI guidelines we mentioned at the beginning explicitly forbid misleading names, including hints at official status you don’t have.

Let’s look at examples for our GiftGenius.

Within the course we’ll continue using GiftGenius as the main name. If you’re building your own App, don’t be afraid of light branding: “TripTailor,” “StockScout,” “LegalChecklist,” and so on.

Subtitle: one sentence that does the job

The subtitle is your one‑liner. It’s visible in Store results and on the App page. Official guidelines advise that such texts clearly and honestly explain the App’s purpose.

Bad:

"The perfect AI assistant for any task!"

Good:

"Helps you pick a gift by someone’s interests in 30 seconds, right in chat."

A good subtitle:

• states what outcome the user will get;
• hints at context (in our case — “right in chat”);
• doesn’t dive into technical details (“analyzes embedding vectors” is not interesting to anyone).

For practice, it’s useful to write 5–7 variants and reread them through the eyes of a non‑technical person. If you stumble reading it out loud — rewrite.

4. Description: short and long, before/after

Short description

A short description is usually a couple of sentences and is shown next to the subtitle. Often, it’s your last chance to hook a user who’s too lazy to open details.

Structure:

1. The first sentence — what the App does.
2. The second — how it differs from plain ChatGPT or other Apps.

“Before” example for GiftGenius:

"An app for choosing gifts. Uses MCP and a complex backend to deliver the best results."

Problems:

• unnecessary technical details;
• unclear why you’re better than just ChatGPT;
• no user scenario is described.

Rewrite:

"GiftGenius helps you pick a gift based on a person’s interests, your budget, and the occasion. You answer a couple of questions in chat, and the App shows concrete ideas with links."

Here we tied it to the real user experience: “I answer questions → I see ideas.” This kind of text also helps ChatGPT better understand your typical scenarios.

Long description

Motivated people read the long description, but even they don’t want a technical treatise. A good template:

1. Who the target audience is (e.g., “people who hate choosing gifts at the last minute”).
2. Which jobs the App does (2–3 main scenarios).
3. Why the App is more convenient than just asking ChatGPT without the App.
4. What happens to data and security — very briefly, link to the Policy.
5. Languages/regions if there are limitations.

For GiftGenius, a template example:

GiftGenius is for those who always remember about a gift at the last minute. 
The App asks who you’re choosing a gift for, what your budget is, and what the occasion is, then shows a ready-made list of ideas with descriptions and links.

Unlike a regular chat with ChatGPT, GiftGenius uses your product catalog and current prices, and also remembers the history of selections within the conversation.

The App doesn’t store your conversation longer than needed to generate recommendations. Learn more in our Privacy Policy.

The key is not to turn the description into a heap of architectural terms. Under the hood there’s MCP, Agents, cache, feature flags, but the user cares about the scenario: faster, simpler, more reliable.

5. Screenshots, video, icon, and overall visuals

We’ve covered listing texts. Next — what the user sees rather than reads: the icon, possible screenshots, and a short video.

Where visuals appear for a ChatGPT App

As of 2025–2026, ChatGPT Store interfaces for regular GPTs don’t show the familiar “screenshot carousel” like mobile stores: you mostly see the icon, name, author, and starter prompts.

For ChatGPT Apps with UI widgets, the situation is similar: the main “showcase” is inside ChatGPT itself (first App launch, inline widget, etc.). External screenshots, videos, and broader visual design usually live:

• on a separate App landing page;
• in posts and announcements (“how we built GiftGenius”);
• on platforms like Product Hunt, GitHub README, etc.

So when we say “screenshots and video for the listing,” in practice we mean external resources you’ll direct people to from the Store, documentation, or social media.

App icon

An icon seems trivial — until you see it in a list of dozens of apps. Basic principles:

• a simple shape that’s legible in a small circle (128×128);
• minimal text — ideally none;
• good contrast with the background;
• a visual tie to the App’s topic (gift, cart, chart analysis, etc.).

For GiftGenius, a sensible option is a clean gift box on a contrasting background, without a tiny “GG” label.

Screenshots: what exactly to show

When you create a landing page or article about the App, you need screenshots that show:

• the core scenario: user asked a question → a widget with recommendations appeared;
• a “wow moment”: filtering, picking an option, possibly Instant Checkout integration (if it exists);
• minimal distractions: remove PII, use test accounts instead of real buyers, keep the interface clean.

A good practical trick is to assemble a separate “demo catalog” with fictitious products and tidy names to avoid exposing internal IDs and third‑party brands.

Short video

A 30–60 second walkthrough can be recorded with a basic screencaster: open ChatGPT, type a typical query, show the App appearing and how to interact with it. Essentially you’re reproducing one of your golden prompts from the UX module.

Scenario for GiftGenius:

1. The user types: “I need a gift for a developer colleague, budget $50.”
2. ChatGPT suggests GiftGenius.
3. A widget appears with clarifying questions and then — a list of options.

Such a video is great for both a landing page and a social post.

6. Listing localization: strategies and pitfalls

From visuals to languages. Even if the UI and data are already beautifully localized (what we did in module 9), the listing lives its own life and has its pitfalls.

Why it’s not that simple

Your App may localize UI and data perfectly, using openai/locale, _meta["openai/userLocation"], and other tricks from module 9. But the listing lives its own life.

As of 2025–2026, the ChatGPT Store doesn’t automatically switch the App’s name and description depending on the user’s interface language. That is, there’s no “built‑in” mechanism for multilingual metadata: the Store shows a single set of texts.

Three popular strategies follow from this.

Strategy 1: Universal English

The simplest and most common option is everything in English: name and description. In the text, you can explicitly state which languages the App supports:

"Supports English, Spanish, Russian."

Pros: a single listing, easy to maintain, understandable to most of the tech audience. Obvious con: worse conversion among users who aren’t comfortable reading English.

Strategy 2: Hybrid name

This is an attempt to sit on two chairs: “GiftGenius | Podarki.” Such a name reads for both English‑speaking and Russian‑speaking users.

Pro: more people intuitively understand what the App is about. Con: looks “noisy,” can hurt the Store’s overall style, and doesn’t solve the long description — you still have to pick one language.

Strategy 3: Separate Apps per language

An option for larger projects: build, say, “GiftGenius (RU)” and “GiftGenius (Global)” as different Apps sharing the same MCP backend.

Pros:

• you can fully adapt the description, starter prompts, and even flow for the local market;
• better “SEO” inside the Store: a user writing in Russian will see a familiar name and description.

Cons:

• usage stats and reviews are spread across multiple Apps;
• more maintenance work: releases, listings, and reviews for each variant.

Practical advice

For a learning/proof‑of‑concept App, Universal English is usually enough, especially if the main audience is developers. In a real product, a reasonable compromise is to start with one or two languages and do good translations, rather than trying to launch in ten with a machine‑translated “word salad.”

The link to the localization module is this: you already know how to localize UI and data flexibly. Now just make sure listing texts don’t contradict what the user will actually see. Don’t write “English only” if the App already works fine in Spanish.

7. Release notes: why they matter and how to avoid “we improved everything”

The listing is the first meeting. Then the App evolves, and you need a way to tell users about it — that’s where release notes come in.

What release notes are in the context of a ChatGPT App

Release notes are a short description of changes in a new App version: what you added, fixed, or sped up. In classic stores, there’s a separate “Version history” tab. In today’s ChatGPT Store, such a tab may not exist, so release notes live:

• in the new version’s description in the Store console;
• on your website/blog/repository;
• inside the App itself if you let users ask “what’s new.”

The format is usually simple: version name, date, and a list of key changes.

Why bother at all

First, users see that the App is alive: you come back to it, improve it, and fix bugs. This increases trust in both your code and your business.

Second, you get a chronology: it’s convenient to check when you added a feature and to reference this in support or “sell” updates internally.

Third, release notes are ready‑made material for mini‑promotion: an email to your list, a social post, a short video.

How to write: sell benefits, not internal terms

Experience from mobile stores and advice from product authors boil down to a simple idea: describe changes in terms of user benefits, not the internal entities you tweaked.

Poor:

"v1.1 — refactored matching algorithm, improved scoring, fixed bugs."

Better:

"v1.1 — more accurate gifts for people with niche hobbies. 
GiftGenius now better understands interests when you mention board games, crafts, or music. 
We also fixed a rare issue that sometimes cleared the recommendations list."

Even the bug fix is framed as improved reliability for the user.

Examples for GiftGenius

First release:

v1.0 — GiftGenius launch
- Initial gift suggestions by name, interests, and budget.
- USD/EUR support.
- Interface localization: EN, RU.

Second release:

v1.1 — gifts from photos and type filters
- Added an experimental tool: upload a photo of a person’s desk and GiftGenius will suggest on‑theme ideas.
- New “digital‑only gifts” filter — handy if the person lives in another city.
- Faster catalog search; recommendations open more quickly.

This format is easy to turn into Store text and a short “what’s new in GiftGenius” post.

8. A mini promotion plan: how to pretend you’re a bit of a marketer

Even a perfect listing and tidy release notes won’t bring you users by themselves. You need at least a minimal promotion plan that a developer can pull off.

Full‑fledged marketing is a separate course, but without any promotion even the best App will gather dust in the Store. We need a minimal set of actions you can realistically do as a developer.

“Internal” promotion within the ChatGPT ecosystem

First and foremost: a well‑written listing is itself part of promotion. Metadata and descriptions help ChatGPT suggest your App in relevant dialogs, and the Store’s search find it by keywords.

Practical steps follow from this:

• mention typical scenarios in the description (buying gifts, preparing reports, etc.);
• don’t bury the listing in tech jargon — it only scares users away;
• avoid overly broad “for everything and everyone” claims so you don’t dilute your “SEO.”

External promotion: landing page, social media, communities

Research suggests a simple minimal promotion plan for ChatGPT Apps:

1. Create a short preview video (30–60 seconds) showing the key scenario.
2. Write a blog note/article: “How we built GiftGenius” — with a couple of screenshots and a high‑level architecture overview.
3. Post 1–2 items on social media (Twitter/X, LinkedIn, Telegram) with a link to the App or landing page.
4. Ask 5–10 colleagues/friends to try the App and give candid feedback.

It’s important not to become a spammer: no mass “tag everyone in a tweet” and “post in every chat.” A good rule — each post provides real value (a demo, an architectural explanation, a breakdown of an interesting case).

Where to publish release notes

As discussed, the Store may not have a separate version history. So it makes sense to duplicate release notes:

• on the App’s Store page (if you can add text about the new version there);
• on your own site (a Changelog section);
• in the repository README (if the App is open‑source or partially open);
• in a newsletter or channel for engaged users.

It’s convenient to use the same “raw” structure defined in code or config, then render it across channels.

A simplest TypeScript example:

// shared/releaseNotes.ts
export const releaseNotes = [
  {
    version: "1.0.0",
    date: "2025-02-01",
    changes: [
      "First public release of GiftGenius",
      "Gift recommendations by interests and budget",
    ],
  },
  {
    version: "1.1.0",
    date: "2025-03-10",
    changes: [
      "New filter: digital-only gifts",
      "Faster catalog search",
    ],
  },
];

You can use this array in the widget (answering “what’s new?”) and for generating a Changelog page on your site.

9. The big picture: a GiftGenius listing example

To tie it all together, let’s sketch a “draft” listing for our training App.

Text version

Name:
GiftGenius

Subtitle:
Picks gifts in 30 seconds by interests and budget, right in chat.

Short description:
GiftGenius asks a few questions about the person, the budget, and the occasion, and shows a ready‑made list of ideas with descriptions and links. Perfect when there’s just one evening left before the celebration.

Long description (shortened):

GiftGenius helps those who are tired of wracking their brains over last‑minute gifts. 
The App asks who you’re choosing a gift for, what they’re into, and your budget, 
then shows specific ideas with a short description and a link to where to buy them.

GiftGenius takes your product catalog and current prices into account, so the recommendations are closer to the real world 
than a generic suggestion in chat.

The App supports English and Russian interfaces. 
We don’t use your data to train third‑party models and we store selection history only within a single session. 
Learn more in our Privacy Policy.

Starter prompts:

• “Help me find a birthday gift for a colleague who loves board games, budget $40.”
• “Find a gift for my mom who loves gardening, up to 3000 ₽.”
• “Suggest digital-only gifts for a friend who lives abroad, budget €50.”

Icon: a minimalist gift box in brand colors.

Languages: EN, RU (explicitly indicated in the description, and our UI already switches via openai/locale).

Links:
Privacy Policy, Terms of Use, Support page — we set these up in the previous lecture.

User path: from listing to usage

For clarity — a small diagram:

flowchart TD
    A[GiftGenius listing in the Store] --> B[User reads
the name and description]
    B --> C{Do they understand
the App’s value?}
    C -- Yes --> D[Clicks Try / connects the App]
    C -- No --> E[Scrolls on]
    D --> F[First dialog with ChatGPT]
    F --> G[The model suggests GiftGenius
based on query context]
    G --> H[A widget appears
and the gift-picking scenario]

A good listing increases the likelihood that the user goes down the “Yes” branch, and by step G they already roughly understand what to expect from the App.

10. Common mistakes in listing and promotion

Error #1: The name and subtitle promise magic you don’t have.
Writing “Ultimate AI that does everything” is tempting, but it backfires in two ways. The user expects a universal super assistant and gets a narrowly specialized tool. The Store’s moderation may also ask questions: do such claims match actual behavior and policy? The guidelines explicitly require clear and accurate wording without exaggeration.

Error #2: The description is stuffed with technical details.
“Uses MCP, Agents SDK, an edge‑layer cache” — great for a meetup talk, but absolutely useless in a listing. Users care about scenarios and outcomes: faster, simpler, more reliable. Save the technical bits for a “how we built it” blog post.

Error #3: Ignoring listing localization.
The App localizes UI and data beautifully, but the listing is left with poor machine translation or only in English for a market where most users don’t read English. As a result, you lose conversion before the first App launch. Better one or two languages with quality text than ten with gibberish.

Error #4: The icon and visuals were thrown together at the last minute.
Too many intricate details, text that’s unreadable in a small circle, or a gray icon that gets lost among others. Users simply won’t remember it was your App. Spend a couple of hours on a clean icon and clear screenshots: you’ll reuse them for a long time in articles, slides, and social posts.

Error #5: Release notes in the “bug fixes and improvements” style.
Yes, everyone writes that, but you can do better. If you yourself won’t understand a month later what changed in 1.3, the user won’t either. Describe changes in terms of benefits: what got faster, what got more reliable, what new scenarios appeared. Brief, but specific.

Error #6: No external announcement.
The App is already in the Store, but you didn’t tell anyone. No post, no short video, no blog entry. As a result, only random users see your App in Store results. Even a minimal announcement to colleagues, followers, or your community brings the first installs and feedback you can improve on.

Error #7: The listing and the App’s real behavior are inconsistent.
The listing says the App doesn’t store data, but the retention logic is different. Or you promise Russian language support, but in reality it’s still in beta and flaky. This not only hurts reviews but can become a reason for Store complaints. Listing texts should follow the architecture and security settings we discussed in previous modules, not live a life of their own.