ASO competitor analysis means comparing the apps people find alongside yours in the App Store. You look at who they serve, what they promise, and how they explain their features, then decide what your own listing should say.
Start with the shortlist from our App Store keyword research guide. For each query, compare what the competing listings offer with what your app can actually do. The worked example below uses public-listing research to develop a positioning sentence and three ideas to test.
Choose apps that compete for the same task
Some apps compete for the same customers and budget as yours. Others appear in the search results for a query you’re investigating, even though they solve a different problem. Both can help you understand the choices a prospective user sees.
For our fictional habit tracker, another habit app is a likely business competitor. A calendar or general reminder app may compete in results for a broader routine-related query. Include it if its listing helps you understand what someone searching that phrase might want.
Our example product supports reminders, a daily checklist, and a history of completed habits. It does not schedule an entire day or provide guided workouts. Every competitor profile and observation in the worked example below is fictional. None represents a live audit of a named app.
Start with three to five apps so you can inspect each one carefully. Choose close product alternatives, then add other search results whose approach could change how you explain your app. Apple doesn’t prescribe a number of competitors to research.
Keep your search comparisons consistent
Use the same storefront and language as your keyword research. For this example, we’re looking at US English on iPhone. Record the query, date, device, and how you checked the results.
Separate paid placements from organic app results. Apple describes search results as containing multiple content types, including ads, apps, and editorial content. Before recording a position from a screenshot, check which kind of result you’re counting. Apple: App Store search.
Work through the same keyword shortlist for every app:
- Search each phrase in the same storefront and inspect a consistent range, such as the first ten organic app results.
- Record each app’s ID, listing URL, observed position or absence, and timestamp. Keep ads separate.
- Note which apps recur across queries, then compare their visible promises with each query’s likely intent.
- Repeat important observations before making a substantial decision. Record any change in device or method.
Suppose our fictional apps A, B, and C appear in the first ten organic results for habit tracker, but only C appears there for habit reminder. That gives you a reason to inspect how C explains reminders. It doesn’t tell you why C ranks, and the results may change. For A and B, record “not observed in the first ten organic results.” You haven’t established that they aren’t indexed.
Compare the promise and its visible evidence
Compare both discovery and conversion: whether an app appears for the task, and whether its listing explains why someone should choose it.
| Area | What to capture |
|---|---|
| Audience and promise | The user or outcome named in the title, subtitle, and opening copy |
| Visual explanation | The task demonstrated by the first screenshot and the sequence that follows |
| Feature evidence | Visible screens or descriptions supporting the promise |
| Pricing presentation | Download price, visible purchase information, and any conditions you can verify |
| Trust and questions | Rating context, review themes, developer responses, and unresolved questions |
Apple’s product-page guidance describes screenshots as a way to communicate the app experience. Check whether you can tell what using the app would be like. The guidance doesn’t give screenshots a search-ranking weight. Apple: creating your product page.
For pricing, distinguish a free download from the cost of using a particular feature. A visible purchase label does not tell you which workflow triggers a paywall. If you inspect the app itself, record the version, account state, and path you tried; mark anything untested as unknown.
Build your ASO competitor analysis matrix
Use the same fields for every app, including your own. This fictional example, prepared September 20, 2026, uses habit tracker in US English on iPhone. A, B, and C are invented apps; these records contain no live listing observations or customer results.
| App | Comparable record |
|---|---|
| A | Audience: people scheduling a day. Promise: organize routines around a calendar. Evidence: the first image shows time blocks. Unknown: how repeating habits work. Next check: inspect the remaining images and workflow before treating A as a direct habit-tracking alternative. |
| B | Audience: people motivated by visible progress. Promise: keep a streak going. Evidence: opening images show streak counts and charts. Unknown: how clearly daily completion is explained. Next check: inspect the completion screen and ask readers what action they expect. |
| C | Audience: people following a daily checklist. Promise: remember and complete recurring tasks. Evidence: checklist first, reminder setup later. Unknown: available reminder controls. Next check: inspect setup and compare it with reminder-related user questions. |
| Our app | Audience: people checking recurring habits without planning their whole day. Proposed promise: reminders, daily completion, and history in one place. Evidence: these capabilities exist in our fictional product brief; no listing has been tested. Unknown: whether readers understand that workflow. Next check: test a checklist-first screenshot sequence for comprehension. |
A emphasizes scheduling, B focuses on progress, and C offers a workflow close to ours. We can explain our app clearly even if C makes a similar promise. To claim an advantage over C, we’d need evidence this comparison doesn’t provide.
Copy this blank record for real research; fill unknown fields with “not checked”:
- App / ID / listing URL:
- Query / storefront / language / device / method:
- Observation date / visible version / inspected result window:
- Audience / promise / visible evidence:
- Pricing conditions and review sample checked:
- Interpretation / unknowns:
- Our product fit / decision / next check / owner / review trigger:
Keep observations separate from interpretations. “Not shown in the first three images” does not mean “absent from the product.” Public listings do not expose private keyword fields, conversion rates, or verified revenue. If you use estimates from an ASO tool, record the source and its limitations.
Use reviews to find questions worth asking
Look for praise that explains why someone keeps using an app and complaints that describe where they got stuck. These accounts can suggest questions to investigate, though reviewers don’t represent everyone who sees the listing.
Choose reviews from the same period and use the same selection method across apps. Record the sort order and how many you read, including cases where fewer reviews were available.
Group notes by task: setup, reminders, daily completion, or progress. Keep dates and versions where available; an older complaint may no longer describe the product.
Apple explains that summary ratings are specific to each App Store territory and can be reset when a new version is released; written reviews remain after a reset. This limits what you can conclude from comparing visible rating totals. Apple: ratings, reviews, and responses.
Write “reminder setup appeared in this sample,” not “most users struggle with setup.” Inspect the workflow or ask users before treating a complaint as an opportunity.
Turn your observations into ideas to test
Before calling something an opportunity, check that users need it and your app can deliver it. A missing screenshot won’t tell you either.
For our tracker, A’s calendar points to a distinction we can explain: checking off habits doesn’t require planning a whole day. C gives us a reason to inspect reminder setup, while B raises a question about how to show progress.
1. Make the daily action explicit
The app already has a daily checklist. Our hypothesis is that showing someone checking off a habit in the first screenshot will help people looking for a checklist understand the app.
Show that image to prospective users and ask what they expect to do in the app. Record misunderstandings, especially features they expect but the app doesn’t have. This checks whether the image makes sense; it won’t measure an App Store conversion lift.
2. Explain reminders before promising convenience
We expect a clear explanation of reminder setup to help people judge whether the app fits their routine. The app has reminders, but we still need to inspect the controls before describing them.
Document the setup steps and what each control does. Compare those details with questions from user research. Use wording such as “fully customizable” only if the available controls justify it.
3. Connect today’s checklist to past activity
The app stores completed-habit history. Showing it after the daily checklist may help people understand what they can review over time.
Prepare that screenshot sequence and ask readers how they would find previous activity. If they expect coaching, predictions, or other features the app lacks, revise the explanation.
Write a position your app can support
Use this working structure:
For [specific audience] who want [task], this app provides [supported approach], demonstrated by [product evidence].
For the fictional tracker:
For people who want to keep up with recurring habits without scheduling their whole day, this app combines reminders, a daily checklist, and completed-habit history.
This is a proposed position to validate, not a proven market advantage or a finished App Store subtitle.
Check the sentence against your keyword shortlist and the features you can demonstrate. Would someone searching those phrases recognize the task you’re describing?
Frequently asked questions
How do I find App Store competitors?
Search the queries your intended users might use. Include apps that address the same task and relevant alternatives returned by search. Record why each belongs in the set rather than selecting only famous brands.
How many apps should I compare?
Start with three to five you can inspect consistently. Expand when a new app introduces a different audience, promise, or workflow that could change your decision. The count is a workload choice, not a ranking rule.
Can I see a competitor’s App Store keyword field?
Public listings do not expose it. Visible titles, subtitles, and observed search appearances provide clues, not the private keyword list or proof of why an app ranks.
Do I need a paid ASO tool?
No. Manual research can support the first comparison. Tools may help repeat observations across queries and storefronts, but check their coverage and distinguish estimates from directly observed data.
How often should I repeat the analysis?
Set a schedule you can maintain. Check again when a relevant competitor launches, a listing changes substantially, or search results shift. Keep dated snapshots so you can see whether a change persists.
How do I know an opportunity is worth testing?
Ask whether users need it, whether your app can deliver it, and what you still need to learn. A useful test answers that last question. Set aside ideas that require features you haven’t built or claims about competitors you can’t support.
Choose one change to investigate first
Choose an idea that matters to your intended users, uses an existing feature, and is practical to check. For our tracker, start with the opening checklist screenshot. The feature is ready, and we need to know whether people understand the daily action.
For this fictional project, the decision record would be:
- Owner: the app’s developer.
- Action: prepare a checklist-first screenshot sequence and show it to prospective users seeking recurring habit tracking.
- Question: what do they expect to do first, and how would they review previous activity?
- Review trigger: after the planned comprehension sessions, before editing metadata.
- Change of plan: if readers expect calendar scheduling or cannot explain the checklist, revise the framing and check it again.
Use the responses to revise the screenshot explanation. A clearer explanation still needs separate measurement to establish any conversion gain. Inspect reminder controls before claiming flexibility, and keep day scheduling out of the promise.
Apple excludes competing app names and irrelevant terms from the keyword field. Use what you’ve learned to describe your own app in your own words. Apple: keyword guidance.
Keep your research notes beside your keyword shortlist. Use our App Store metadata guide to turn them into an app name, subtitle, and keyword field.