How to Write App Store and Google Play Descriptions With AI

An app description should explain the product accurately in plain language. The opening copy matters because store interfaces may truncate the field, while Google Play also provides a separate short description. Neither store publishes a formula in which “keyword density” guarantees ranking.

An LLM can help structure a first draft, but a person who understands the product must verify every feature, price, audience, privacy statement, and claim. This guide covers that workflow and how to coordinate the copy with accurate screenshots.

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.

Use Apple's App information reference and Google's store listing guidance for current limits and policy. Write every field for a human reader and use relevant search terms naturally; do not turn the description into a repeated-keyword block.

A useful description structure

The following is one adaptable structure, not a store requirement. Short, focused apps may need less; complex or regulated products may need more detail and disclosures.

1. The hook (first 1-2 lines)

This is the part most likely to appear before truncation. 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 clear daily plan."

Name the result, not the category. "Manage your life" is a category. "A clear daily plan" 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 important features in terms of what they let the user do. Short separated lines or plain-text bullets can make distinct capabilities easier to find, but preview the actual listing and keep the formatting simple.

• Not: "Cloud sync across devices."
• Yes: "Start a list on your phone, finish it on your laptop. Everything stays in sync."

Include only accurate, meaningful capabilities and keep the section readable.

4. Social proof

If you have relevant proof, you may include a press mention you can name, a verified user count, an award, or a rating where the store's current rules permit it. Confirm that every statement is current and attributable. Do not invent numbers or imply an endorsement you did not receive.

5. The close

A short line can explain what happens next, but claims such as "Free to start" or "No account needed" must match the current product and market. Include the subscription, privacy, data-use, or category disclosures required for the app and review current store guidance before publishing pricing language.

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): the public product name; keep it accurate and within Apple's current limit.
• Subtitle (30 chars): a concise explanation that complements the name.
• Keyword field (100 bytes): a separate metadata field. Follow Apple's current rules and avoid competitor names or irrelevant terms.
• Description (up to 4,000 characters): explain features and important details for the customer. Do not rely on an undocumented search-ranking claim to justify poor copy.

Google Play (Android)

• Title (30 characters): the public app name under Google's current limit.
• Short description (80 characters): a concise summary shown in the listing.
• Full description (4,000 characters): explain the product with relevant terms used naturally. Google's metadata policy prohibits repetitive or irrelevant promotional text.

How to prompt an LLM to draft it well

An LLM can produce a first draft when you give it the inputs a copywriter would ask for. A vague prompt ("write an App Store description for my app") tends to return 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:

• Open with the main user outcome in plain language. Avoid a generic "Welcome to" introduction.
• 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 most important guardrails are to describe outcomes specifically and not invent statistics, reviews, capabilities, awards, or compatibility.

Iterate, do not accept the first draft

Ask for three variants of the hook line and choose the clearest one. Then ask the model to list every factual claim for manual verification. Do not rely on the model to decide whether copy complies with section 2.3; compare the final text with the product and Apple's current App Review Guidelines yourself.

Localization

If the app ships in more than one language, both stores support localized listing text. Prioritize locales from the markets the product actually supports and your own acquisition data; no fixed list of eight languages covers every app.

An LLM can help create a localization draft, but a fluent reviewer should check meaning, terminology, claims, and cultural context. Ask for localization rather than literal translation, and explain product-specific terms in the prompt.

If you localize the description, consider localizing screenshot headlines when the app supports that market. The App Store screenshot generator supports a defined set of locales; review each translated headline before export so the two halves match.

Common mistakes

• Leading with company history before the product. Explain the user's task or outcome before background that is not needed to understand the app.
• Using a generic opening. Store layouts may truncate the description, so make the opening useful even when later paragraphs are not visible.
• Keyword stuffing. Repetition makes copy harder to read and can violate metadata policy. Use the store's dedicated fields accurately and keep the description natural.
• Inventing proof. Do not publish a user count, review, award, or endorsement without current evidence and permission.
• Replacing specifics with adjectives. Terms such as "revolutionary," "seamless," and "all-in-one" do not explain a workflow. State the actual capability 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.
• Reviewing text and visuals separately. A feature name or price should not contradict the screenshots.

Coordinate the description and screenshots

The description and screenshots answer different questions. Keep terminology, features, prices, and availability consistent across both. Use your own Product Page Optimization or store-listing experiment data to learn which creative changes help rather than assigning an unsupported share of the install decision to either element. The detailed visual guide is App Store screenshots that convert.

Ways to coordinate both halves include:

• Screenshots: the App Store screenshot generator and the Play Store screenshot generator provide current practical presets; choose and verify the outputs your listing needs.
• 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.

Use AI to accelerate a draft, then verify the copy and screenshots together before submission. You can coordinate both in the browser.

Frequently Asked Questions

Does the App Store description affect search ranking?

Apple provides dedicated name, subtitle, and keyword metadata and does not document the full description as a keyword-ranking field. Google uses listing text as part of discovery but does not publish a simple weighting formula. Follow current official metadata guidance for each store.

How long should an App Store description be?

Both stores currently allow up to 4,000 characters for the full description, but there is no universal best length. Use enough space to explain the product, important terms, and required disclosures without repetition.

Can AI write a good App Store description?

AI can produce a first draft when the prompt includes what the app does, the target user, accurate features, a substantiated differentiator, and real proof. A product owner still needs to edit for voice and verify every claim. Treat the output as draft material, not final store metadata.

What is the difference between the App Store and Google Play description?

Apple and Google expose different metadata fields and discovery systems. Google has a separate 80-character short description; Apple has a subtitle and keyword field. Write and verify a store-specific version rather than assuming identical treatment.

Should I localize my app description?

Localize when the app supports the locale and the market matters to the product. Prioritize with your own data and use fluent human review; there is no universal “top eight” list or guaranteed ASO win. Align the screenshot headlines where appropriate.

What matters more, the description or the screenshots?

Both need to be accurate and useful. Screenshots show the interface while the description can explain details that are hard to convey visually. Use store experiment data and customer research to decide where improvements matter most for your app.