How to Write an App Store Description With AI (2026 Guide)
Write a converting App Store and Google Play description with AI in 2026. Structure, ASO basics, a reusable prompt template, localization, and mistakes to skip.
By Screenhance Team
A converting App Store description does most of its work in the first two lines, because that is all Apple shows before the "more" fold and all most users ever read. The rest of the field exists to confirm the install, not earn it. On Google Play the math is different: the first 80 characters (the short description) plus your keyword density actually feed the ranking algorithm, so the text carries more weight there than on iOS.
Here is the honest version most "AI writes your listing" posts skip. A good description helps, but on the App Store it is the screenshots that drive the install decision, not the paragraph. The description is one half of the listing. The visuals are the other, and they are the bigger half. This guide covers how to write the text well with an LLM, then points you at the part that moves the needle more.
> Skip the manual work: the App Store screenshot generator builds the visual half of your listing from one design, or grab the whole launch kit so the screenshots and the copy ship together.
What the description field actually does
The two stores treat the description differently, and a lot of bad advice comes from blurring them.
| Element | App Store (iOS) | Google Play (Android) |
|---|---|---|
| Indexed for search | No (uses title + subtitle + keyword field) | Yes (short + full description) |
| Visible before fold | ~2 lines | Short description (80 chars) |
| Max length | 4,000 chars | Short 80, full 4,000 |
| Keyword repetition helps ranking | No | Yes, in moderation |
| Drives install decision | Minor (screenshots dominate) | Moderate |
The practical takeaway: on iOS, treat the description as supporting copy and pour your keyword effort into the 30-character title and subtitle plus the 100-character keyword field. On Android, the short description and full description are real ranking surfaces, so write them for both humans and the algorithm.
The structure of a high-converting description
Whether you draft it yourself or with an LLM, a good listing description follows the same shape.
1. The hook (first 1-2 lines)
This is the only part guaranteed to be read. State the outcome the app delivers in one plain sentence. No "Welcome to," no company history, no "In a world where."
- Weak: "TaskFlow is a productivity app designed to help you manage your busy life."
- Strong: "TaskFlow turns a messy brain dump into a planned day in under a minute."
Name the result, not the category. "Manage your life" is a category. "A planned day in under a minute" is a result.
2. The expansion (next paragraph)
Now that the reader tapped "more," confirm the promise with one or two sentences of specifics: who it is for and the single thing it does better than the alternative they are probably using.
3. Feature framing as benefits
List features, but frame each as the outcome it produces. A bulleted block scans better than prose here, and both stores render bullets fine.
- Not: "Cloud sync across devices."
- Yes: "Start a list on your phone, finish it on your laptop. Everything stays in sync."
Keep it to four to six bullets. More than that and nobody reads to the bottom.
4. Social proof
If you have it, use it: a press mention you can name, a real user count, an award, a rating. "Featured by Apple" or "30,000 makers use TaskFlow weekly" earns more trust than any adjective. Do not invent numbers. Fabricated proof is both an ASO risk and a credibility one.
5. The close
A short line on what happens next ("Free to start. No account needed.") and any compliance text your category requires (subscriptions, privacy, data use). Apple discourages literal pricing in screenshots, but pricing terms belong in the description if you sell subscriptions.
ASO basics the text is responsible for
The description is one input among several. Here is what each metadata surface is actually for, so you do not waste keyword budget in the wrong field.
App Store (iOS)
- App name (30 chars): your single most valuable keyword slot. Brand plus one keyword: "TaskFlow: Daily Planner."
- Subtitle (30 chars): a second keyword line and a second value statement.
- Keyword field (100 chars): comma-separated, no spaces, no plurals you already covered, no competitor brand names. This is hidden from users and only for the algorithm.
- Description: not indexed. Write it for the human who already tapped through.
Google Play (Android)
- Title (30 chars): indexed and weighted heavily.
- Short description (80 chars): indexed, shown above the fold, and the highest-leverage line you write.
- Full description (4,000 chars): indexed. Use your two or three priority keywords naturally, a few times each. Do not stuff. Google penalizes keyword spam and so do readers.
How to prompt an LLM to draft it well
ChatGPT or Claude will write a usable first draft in seconds, but only if you give it the inputs a copywriter would ask for. A vague prompt ("write an App Store description for my app") returns vague, adjective-heavy filler. Feed it specifics.
A reusable prompt template
```
You are an ASO copywriter. Write an App Store description for my app.
APP: [name]
WHAT IT DOES: [one plain sentence]
TARGET USER: [who, specifically]
TOP 3 FEATURES (as outcomes): [feature 1], [feature 2], [feature 3]
DIFFERENTIATOR: [the one thing it does better than [competitor]]
PROOF (only if real): [user count / press / rating]
PRIORITY KEYWORDS: [3-5 terms]
TONE: [plain and direct / playful / premium]
Rules:
- First two lines must state the outcome, not the category. No "Welcome to."
- 4-6 benefit-framed bullets.
- Under 1,000 characters total. No marketing cliches
(revolutionary, seamless, game-changing).
- Then give me a separate Google Play SHORT description, max 80 characters.
- Do not invent statistics.
```
The two highest-impact lines in that prompt are "outcomes, not the category" and "do not invent statistics." Those two constraints fix the two things LLMs get wrong most often on store copy.
Iterate, do not accept the first draft
Ask for three variants of the hook line and pick the one that reads like a person wrote it. Then paste your draft back and ask: "Which of these claims would Apple's App Review flag under section 2.3, accurate metadata?" The model is good at catching its own overreach: fake "#1," unverifiable "best," competitor comparisons.
Localization
If the app ships in more than one language, both stores let each locale have its own description, and translating it is one of the cheaper ASO wins available. The same eight languages cover most international install volume: English (US), English (UK), Spanish, French, German, Italian, Japanese, and Simplified Chinese.
LLMs handle this well if you prompt for localization, not literal translation. Ask: "Localize this for Japanese App Store users. Adapt idioms and keep keywords natural in Japanese, do not translate word for word." A literal machine translation of "crush your to-do list" lands badly in most languages. A native-feeling rewrite converts.
One catch the text shares with the visuals: if you localize the description, localize the screenshot headlines too. A French description over English screenshot captions reads as half-finished. The App Store screenshot generator exports localized headline sets in one pass so the two halves match.
Common mistakes
- Leading with the company, not the user. "Founded in 2024, we believe..." Nobody installing an app cares. Lead with their outcome.
- Burying the hook below the fold. If your first sentence is setup, the only visible line is wasted.
- Keyword stuffing the iOS description. It is not indexed, so stuffing it only annoys readers. Put keywords in the title, subtitle, and keyword field.
- Inventing proof. "Trusted by millions" with no basis is a rejection risk and a trust killer.
- Cliche soup. "Revolutionary, seamless, next-generation, all-in-one." Every app says this, so it signals nothing. Say the specific thing instead.
- Treating iOS and Android copy as identical. The short description matters on Android and does not exist on iOS. Write each store its own version.
- Spending all your effort here. Which brings us to the part that actually decides the install.
The honest part: screenshots outweigh the text
You can write the best description on the App Store and still convert poorly, because most users decide whether to install from the screenshots before they read a single word of the description. The text confirms a decision the visuals already made.
So split your effort accordingly. The description is worth an afternoon and an LLM draft. The screenshots are worth more, because they do the heavier lifting. The detailed playbook for the visual half lives in our guide on App Store screenshots that convert: the seven-screenshot framework, headline patterns, device frames, and the dimensions Apple rejects you over.
The fastest way to ship both halves together:
- Screenshots: the App Store screenshot generator and the Play Store screenshot generator build every required store size from one design.
- The full launch set: the launch kit generates the coordinated screenshots, OG image, and gallery assets from a single brief, so the visuals match the copy you just wrote.
- Product Hunt day: the Product Hunt gallery generator sizes your gallery for the launch.
Write the description with AI in an afternoon. Then put the real work into the screenshots, because that is where the install gets won. You can do both in the browser.
Frequently Asked Questions
Does the App Store description affect search ranking?
No. On iOS the description is not indexed for search. Ranking comes from your app name, subtitle, and the 100-character keyword field. On Google Play it is the opposite: both the short and full descriptions are indexed and influence ranking.
How long should an App Store description be?
Both stores allow up to 4,000 characters, but length is not the goal. The first two lines do almost all the work because that is what shows before the fold. A tight 600 to 1,000 character description that leads with the outcome outperforms a wall of text.
Can AI write a good App Store description?
Yes, for a strong first draft, if you prompt it with specifics: what the app does, the target user, outcome-framed features, the differentiator, and real proof. Then edit for voice and verify no invented claims. Treat the LLM as a fast junior copywriter, not a final author.
What is the difference between the App Store and Google Play description?
The App Store description is not indexed and is read after the screenshots, so it is supporting copy. Google Play indexes both the short (80-char) and full descriptions, so they carry real ranking and conversion weight. Write each store its own version rather than reusing one.
Should I localize my app description?
Yes, if you ship in more than one language. Localizing the description for the top eight install languages is a cheap ASO win. Localize the screenshot headlines at the same time so the text and visuals match in each market.
What matters more, the description or the screenshots?
On the App Store, the screenshots. Most users decide to install from the visuals before reading the description, which mostly confirms the choice. Spend an afternoon on the text and put more effort into the screenshots, since they drive the install decision.