App Store Description and ASO Prompts

Write 8 App Store title options for my app named [APP NAME]. It is a [APP CATEGORY] app that helps [TARGET USER] do [MAIN JOB]. Each title must stay under 30 characters total, lead with the brand name, and where space allows work in the top keyword [PRIMARY KEYWORD]. Show the exact character count after each option and flag any that go over 30.

The App Store title caps at 30 characters and is the single strongest ranking field, so this forces short, keyword-front options with counts baked in.

Write 6 App Store subtitle options for [APP NAME], a [APP CATEGORY] app for [TARGET USER]. Each subtitle must be under 30 characters, add new keywords not already in my title (my title is [YOUR TITLE]), and read like a benefit not a keyword dump. Include [SECONDARY KEYWORD] and [THIRD KEYWORD] across the set. Print the character count beside each.

The subtitle is a second 30-character ranking field, so pushing NEW keywords here avoids wasting duplicate terms and doubles keyword coverage.

Write 6 Google Play title options (max 30 characters) and 6 short description options (max 80 characters) for [APP NAME], a [APP CATEGORY] app that lets [TARGET USER] [MAIN JOB]. Work in [PRIMARY KEYWORD] naturally, keep it human, and show the character count after each line.

Google Play uses a 30-character title and an 80-character short description that both feed ranking and the install decision, so this covers both fields at once with counts.

Give me 5 title formulas in the pattern [Brand] plus [Keyword Phrase] for [APP NAME] in the [APP CATEGORY] category. For each, explain in one line why that keyword phrase could pull search traffic for [TARGET USER], and keep every option under 30 characters.

Testing the Brand plus Keyword pattern is the safest way to rank without looking spammy, and the one-line reasoning helps a solo developer pick fast.

Write a full App Store description for [APP NAME], a [APP CATEGORY] app for [TARGET USER]. Open with a 1 to 2 sentence hook that names the main benefit [MAIN BENEFIT], because only the first 3 lines show before the More button. Then a short paragraph, then a bulleted feature list of [KEY FEATURES], then a closing line with a soft call to action. Keep it under 4000 characters, plain and human, no hype words like revolutionary or game changing.

The long description caps near 4000 characters and only the first few lines are visible before More, so front-loading the hook is what actually converts browsers.

Write 10 opening lines (each under 120 characters) for the top of my app store description. The app is [APP NAME], it helps [TARGET USER] [MAIN BENEFIT]. These lines appear before the More button so each must earn the tap on its own. No emoji, no keyword stuffing, and rank your top 3 with a one-line reason.

Store listings truncate after about 3 lines on mobile, so the opening lines carry the whole conversion job and deserve their own focused prompt.

Turn this raw feature list into 6 to 8 app store bullet points for [APP NAME]: [PASTE FEATURE LIST]. Rewrite each so it leads with the user benefit, not the feature name, keep each bullet under 80 characters, and start each with a plain verb. Avoid jargon a [TARGET USER] would not use.

Shoppers skim bullets, so benefit-first phrasing under a tight character limit is what makes a feature list readable instead of a spec sheet.

Translate and localize my app store description for the [TARGET COUNTRY] App Store in [TARGET LANGUAGE]. Keep it natural for a native speaker, adapt idioms and the call to action to local norms, preserve my keyword intent around [PRIMARY KEYWORD], and stay under 4000 characters. Flag any phrase that would not make sense in that market.

Localized listings rank in each country store and lift conversion, and a straight machine translation often breaks tone or the keyword, so this asks for real localization.

Rewrite my current app store description in a [DESIRED TONE, e.g. warm and simple] tone for [TARGET USER]. Keep the same features and keywords, cut filler, and bring it under [TARGET CHARACTER COUNT] characters. Here is the current text: [PASTE CURRENT DESCRIPTION].

A finished draft often needs a tone or length pass before submission, and giving the model the target character count keeps the rewrite inside store limits.

Build the App Store keywords field for [APP NAME], a [APP CATEGORY] app for [TARGET USER]. Give me a single comma separated list that is at most 100 characters total, with no spaces after commas, no plurals if the singular is present, and no words already used in my title or subtitle ([YOUR TITLE] and [YOUR SUBTITLE]). Show the exact character count.

The hidden keywords field is exactly 100 characters and rewards no wasted spaces or duplicate words, so a purpose-built prompt squeezes in the most rankable terms.

Act as an ASO researcher. For a [APP CATEGORY] app that helps [TARGET USER] [MAIN JOB], list 25 keywords grouped into head terms, mid-tail, and long-tail. For each, estimate relative search demand and competition as high, medium, or low, and mark the 8 best starting bets for a brand new app with few reviews.

New apps win on lower-competition long-tail terms first, so grouping and flagging easy wins turns a blank keyword field into a real starting strategy.

Here are 3 competitor apps to [APP NAME]: [COMPETITOR 1], [COMPETITOR 2], [COMPETITOR 3]. Based on their likely titles, subtitles, and positioning, list the keywords they probably target, then find gap keywords they are ignoring that a [TARGET USER] would search. Rank the gaps by opportunity for a smaller app.

Ranking where big competitors are weak is the fastest ASO path, and a gap analysis surfaces terms you can own instead of fighting head to head.

Group these keywords by the searcher intent behind them for a [APP CATEGORY] app: [PASTE KEYWORD LIST]. Use buckets like problem-aware, solution-aware, brand, and comparison. For each bucket tell me which store field (title, subtitle, keywords, or description) it fits best and why.

Matching each keyword to the right field and intent stops you from burying high-intent terms in the description where they carry less ranking weight.

Write App Store What's New release notes for [APP NAME] version [VERSION NUMBER]. The changes are: [PASTE CHANGE LIST]. Keep it under 4000 characters but aim for short and scannable, lead with the most exciting fix or feature, use plain language a [TARGET USER] understands, and end with a friendly one-line thank you. No internal jargon or ticket numbers.

Release notes can run to 4000 characters but users skim them, so leading with the best change and cutting jargon is what actually gets read and boosts update rates.

Write 4 versions of short What's New notes for a maintenance release of [APP NAME] where the only changes are bug fixes and speed improvements. Keep each under 300 characters, sound human and grateful, and avoid the flat we fixed bugs line. Vary the tone from playful to plain.

Most updates are small fixes, and a warm honest note keeps the listing from looking neglected without overclaiming, which protects trust and review scores.

Write caption text for [NUMBER] app store screenshots of [APP NAME], a [APP CATEGORY] app for [TARGET USER]. Each caption must be under 40 characters, lead with a benefit, and together they should tell a story from the main value to a closing reason to download. List them in order with the character count after each.

Captions are the most-viewed part of a listing and each must fit a tight on-image space, so short benefit-led lines that build a sequence lift conversion more than the text below.

Write 6 App Store promotional text options for [APP NAME], each under 170 characters. This line sits above the description and can be updated any time without review, so make it about a current hook like [CURRENT PROMO OR NEW FEATURE] for [TARGET USER]. Keep it fresh and specific, and show the character count for each.

Promotional text is a 170-character field you can change without resubmitting the app, so it is the best spot for timely hooks and deserves its own set of options.