Start with the search your app deserves to appear in
App Store keyword optimization is the work of choosing relevant search terms and using them deliberately in your app listing. A full keyword field is not the goal. The goal is to help the right person recognize that your app solves their problem.
Before editing metadata, finish a small round of App Store keyword research. Write down the job your app does, the audience it serves, and the features it actually ships. For a focus timer, “study timer” may describe a real use case; “homework answers” describes a different product, even if the phrase looks attractive in a research tool.
Separate discovery from selection: collect candidate phrases first, then choose a smaller set that you can defend. This guide covers that second step. It is a practical workflow, not a study of Apple’s ranking algorithm.
Know which App Store metadata field you are editing
| Field | Limit | Practical role |
|---|---|---|
| App name | 30 characters | Make the product and its core purpose recognizable. |
| Subtitle | 30 characters | Explain a useful distinction or use case. |
| Keywords | 100 bytes in Apple’s App Store Connect reference | Allocate a small, comma-separated budget to relevant terms. |
Apple documents the name and subtitle limits in its app information reference. Its platform version reference specifies a 100-byte keyword budget. Apple’s product-page guide calls this 100 characters. For plain ASCII text those counts match; accented characters and other scripts can consume multiple UTF-8 bytes. Check the actual field validation before publishing a localization.
Do not squeeze a sentence into every available character just because you can. Read the app name and subtitle together: can someone understand the app without opening the description? If not, clearer wording is more valuable than another loosely related term.
Choose relevant keywords before chasing popularity
For each candidate, ask three questions: does the app deliver what this phrase implies, do the current results serve a similar need, and would someone using that phrase understand your listing? A negative answer is a reason to reconsider the term, not a reason to rewrite the product’s promise.
Open the results in the country you are targeting. “Planner” could bring up calendars, daily task lists, or other kinds of planning tools. A narrower phrase might fit your app better. Use competitor research to inspect those differences, rather than copying the leading app’s wording.
Estimated keyword popularity and difficulty can help organize the shortlist, but they are not verified search counts. ASO Engine labels these as research estimates. A high score cannot tell you whether your product matches the searcher’s intent or whether the leading apps are realistically comparable.
A worked example: optimize a focus timer’s metadata
Imagine a fictional app called Quietly with timed work intervals, study sessions, scheduled breaks, and offline operation. These examples are illustrative drafts, not measured winning keywords or a claim that any name is available.
- App name · 20/30 characters
- Quietly: Focus Timer
- Subtitle · 28/30 characters
- Deep work and study sessions
- Keyword field · 50/100 bytes, ASCII example
pomodoro,concentration,interval,break,task,offline
The name identifies the app as a focus timer. The subtitle gives it a work-and-study context. The keyword draft adds supporting concepts without repeating the exact words in those two fields. Each proposed term has a product-based reason to be considered; none earns its place just because a tool suggested it.
This draft deliberately leaves room. Before adding more words, inspect the local results for each candidate. If a phrase consistently points to a different category of product, replace it with a closer match or leave the space unused. Treat “pomodoro” as a candidate to investigate, not an automatic recommendation for every timer.
Keep a separate research list of complete search phrases such as “study timer.” The comma-separated field is a publishing artifact; your research list records the actual searches you want to observe. Do not assume that every possible combination of the words you enter will rank.
Remove keyword-field mistakes before submission
- Remove duplicate words instead of spending the budget on repetition.
- Do not add a competing app’s name to capture its audience.
- Remove unrelated terms, even when their estimated popularity looks appealing.
- Separate entries with commas; avoid padding spaces after separators. Spaces inside an intentional phrase are different.
- Do not treat promotional text as an extra keyword field.
These checks follow Apple’s keyword guidance, including its warning against competitor names and irrelevant terms. The App Review metadata rules are the place to check what Apple permits; an ASO tool cannot approve a submission for you.
Localize the search intent, not just the English words
Use the same decision process in each language: identify the need, write plausible local phrases, and inspect the relevant storefront. A literal translation can be grammatically correct while describing the wrong use case. Have a fluent speaker review wording when you cannot judge it yourself.
For the fictional timer, a student-oriented localization may need different wording from a professional productivity listing. Keep the product claims consistent, but let the phrasing fit the audience. Do not claim support for a language inside the app simply because its store listing has been translated.
Apple supports localized product-page metadata. ASO Engine’s Metadata Translator can help prepare drafts with your own OpenAI key; translation is a starting point for review, not proof of local keyword demand. See the metadata workflow documentation before updating App Store Connect.
Measure keyword changes against a consistent baseline
Before publishing, save the old metadata, selected country, tracked phrases, and observed positions. Record the new version and what you changed. Check the same phrases in the same storefront afterward, and compare more than one observation.
Apple explains that App Store discovery involves both metadata relevance and customer behavior. A new subtitle is not the only thing changing in the market. A ranking movement after an edit is evidence to investigate, not proof that the edit caused it.
Use keyword ranking history alongside your own App Store Connect search-source metrics. Note other changes, such as new screenshots or a release campaign, so you do not attribute every result to the keyword field. The rank-tracking guide explains how to interpret missing positions and noisy observations.
Your App Store keyword optimization checklist
- Choose one storefront and a clear audience for this review.
- Build a shortlist from real features and user problems.
- Inspect competing search results before selecting a term.
- Write an understandable name and subtitle within their limits.
- Check the keyword budget, duplicates, relevance, and local wording.
- Save the previous metadata and ranking baseline.
- Review the draft in App Store Connect, then track the same searches after release.
If you want a Mac workspace for the research part, ASO Engine’s keyword research tool brings estimated scores, public search results, and tracked rankings together. Start with the question your app answers—not the number of keywords you can fit into a field.