Using Claude for ASO: Prompts for Metadata, Reviews and Keywords

Updated Oct 10, 2026

On this page (7 sections)

1. Quick answer: where Claude helps (and where it doesn't)
2. Prompt: keyword brainstorming from reviews
3. Prompt: name/subtitle variants within 30 chars
4. Prompt: keyword field packing + dedupe
5. Prompt: review theme clustering
6. Verifying AI output (limits, hallucinated data)
7. FAQ

Claude, Anthropic's AI assistant, is useful for the language side of ASO: brainstorming keyword ideas from reviews, drafting name and subtitle variants within 30 characters, packing and de-duplicating your keyword field, and clustering review themes. It can't tell you real App Store search volume or rankings. Pair its drafts with real store data before you ship anything.

Quick answer: where Claude helps (and where it doesn't)

Can Claude do ASO keyword research?

Claude can help with parts of it: generating keyword ideas, turning user reviews into search phrases, grouping terms by intent and drafting metadata. It can't see App Store search data, so it can't give real search volume, popularity or your rankings. Validate its ideas with App Store autocomplete and Apple Ads search popularity before using them.

Our tool-agnostic AI-assisted keyword research workflow covers the bigger process; this guide gives Claude-ready prompts.

Prompt: keyword brainstorming from reviews

Paste a sample of public reviews (yours or competitors') with names and personal details removed.

You are helping with App Store Optimization for an iOS app.
App: [one-sentence description]. Audience: [who it's for].
Below are user reviews. Extract the phrases users use to describe
(1) the problem they wanted solved, (2) features they mention, (3) who they are.
Return a table: phrase | category (problem/feature/audience) | example review quote.
Only use wording that appears in or is directly implied by the reviews.
Do not invent search volumes or popularity.

Reviews:
[paste reviews]

Then run the best phrases through App Store autocomplete to see which ones people actually type.

Can AI tools give real search volume?

No. AI assistants like Claude don't have access to Apple's App Store search data, so any "volume" they give is a guess. Apple's only first-party signal available to developers is Apple Ads search popularity, a relative 1 to 5 score. Use AI for ideas and wording, and store data for prioritizing.

Prompt: name/subtitle variants within 30 chars

Write 10 App Store subtitle options for this app.
App name: [name]. Core benefit: [benefit]. Target terms: [term 1], [term 2].
Rules:
- Max 30 characters including spaces. Show the character count after each.
- Do not repeat any word from the app name.
- Plain, specific language. No "best", "#1" or superlatives.
- Each option should read naturally to a person, not as a keyword list.

What's a good prompt for App Store subtitles?

Give Claude the app name, the core benefit and two target terms, then set hard rules: 30 characters maximum including spaces, no words repeated from the name, no superlatives, and a character count after each option. Ask for several variants, then recount them yourself, since AI character counts can be wrong.

Apple's limits and subtitle guidance: Creating your product page. Placement logic: app name and subtitle keywords.

Prompt: keyword field packing + dedupe

Build an App Store keyword field from the candidate list below.
Rules:
- Comma-separated, no spaces after commas, total 100 characters or fewer.
- Remove any word that appears in the app name "[name]" or subtitle "[subtitle]".
- Remove plurals when the singular is present, and the words "app" and "[category]".
- Remove brand names, competitor names and trademarks.
- Order by the relevance ranking I gave (1 = most relevant).
- Output the final string, its character count, and a list of what you removed and why.

Candidates (term | relevance):
[paste list]

Rules sourced from Apple; see our iOS keyword field guide. For non-English localizations, remember App Store Connect counts 100 bytes, so accented and non-Latin characters take more space.

Prompt: review theme clustering

Group these reviews into 5–8 themes. For each theme give:
theme name | share of reviews (count) | typical quote | sentiment | product or listing action.
Separate "bugs/performance", "pricing/paywall", "feature requests", and "praise".
Count only reviews that clearly belong to a theme. Don't estimate beyond the data given.

Reviews:
[paste reviews]

Use the praise themes for screenshot captions and the complaint themes for your roadmap and reply templates. The Ratings, Reviews & CRO course covers what to do next.

Verifying AI output (limits, hallucinated data)

Before anything reaches App Store Connect:

• Recount characters yourself (and bytes for non-English). Models can miscount.
• Check every keyword is relevant to what the app actually does.
• Remove any stat, ranking or "volume" the model produced. It has no store data.
• Check for trademarks and competitor names.
• Validate with real signals: autocomplete and Apple Ads search popularity.
• Read it aloud. Visible fields must sound human.

AI is also changing how people find apps outside the store; see AI and LLM app discovery.

GROWNX pulls your App Store Connect and RevenueCat data into one free-to-start dashboard, so you can see whether your keyword, metadata and paywall changes actually move revenue. Its AI copilot, Ask GROWNX, answers questions about your connected App Store Connect and RevenueCat data. Try GROWNX free.

FAQ

Is AI-written metadata allowed by Apple?

Apple's App Review Guidelines judge what your metadata says, not who or what wrote it. AI-drafted text must follow the same rules: accurate, relevant, no trademark misuse, no misleading claims and no keyword stuffing. You're responsible for everything you submit, so review AI drafts as carefully as your own.

Should I paste private data into AI tools?

Be careful. Don't paste customer emails, personal details, unreleased financials or credentials into any AI tool unless your account's data terms allow it and you're comfortable with them. Public reviews with names removed and your own published metadata are generally low risk. Check Anthropic's current data usage policy for your plan.

Is Claude better than other assistants for ASO?

For drafting and organizing text, most capable assistants do a similar job; the prompt and your verification matter more than the model. Pick the one you're comfortable with, keep your prompts consistent, and always check output against real store data. We also cover Grok and Gemini.