ASO Keyword Gap: How to Find and Close Yours

ASO Keyword Gap: How to Find and Close Yours

An ASO keyword gap is a relevant search term that one or more true competitors rank for in the app stores and your app does not. Closing the right gaps is one of the fastest ways to gain visibility, because you already know people search for those terms and that apps like yours satisfy them. This guide shows you how to find your gaps, filter out the noise, prioritize what is left and measure whether the changes worked.

TL;DR

• A keyword gap is a relevant term where real competitors rank and you don’t. A term that merely appears in a rival’s metadata is not automatically a gap.
• Build the list in four moves: define true competitors, collect their ranking keywords, subtract yours, then filter for relevance, demand and difficulty.
• Apple and Google Play index different fields, so the same gap lands in different places on each store.
• Judge results with several signals together: rank, impressions, store traffic, conversion and installs.
• Revisit the list monthly. Rivals change their metadata, and gaps open and close all the time.

Table of Contents

• Why keyword gaps matter for organic installs
• What counts as a real keyword gap
• Step 1: Define your true competitors
• Step 2: Collect the keywords they rank for
• Step 3: Subtract what you already rank for
• Step 4: Filter for relevance with a simple matrix
• Metrics that show opportunity
• Step 5: Place the winners where each store indexes them
• A worked example
• Perspective
• How to measure whether closing a gap worked
• Common mistakes to avoid
• Run your gap analysis in one place
• FAQ
• Sources

Why keyword gaps matter for organic installs

Search is where most store discovery happens. One ASO guide, citing Apple, reports that 65% of iOS apps are discovered directly through search on the App Store. The same guide cites AppRadar for 53% of Google Play downloads coming from search. Those are older figures from a third-party guide, so treat them as direction rather than a precise benchmark. The direction is clear, though: if you are absent from the queries your category searches, you are buried beneath competitors that show up.

A gap analysis is useful because it replaces guessing with evidence. Instead of brainstorming terms in a meeting, you start from queries where the market has already shown demand and where similar apps already win installs.

What counts as a real keyword gap

Not every term a competitor ranks for deserves a place in your listing. A rival may rank for a loosely related word by accident, or for a feature you don’t have. Copying those terms wastes limited characters and can attract users who uninstall quickly.

A useful gap meets three tests, which match the criteria described in one competitive analysis guide: meaningful search volume, weak or absent competitor metadata, and a credible chance that your app converts those searchers.

Use this shorthand when you review a candidate:

1. Relevant: would a user typing this term be satisfied by your app today?
2. Demanded: does the term have enough search popularity to be worth a slot?
3. Winnable: can your app realistically reach a visible rank given who holds the top spots?

If a term fails the first test, drop it however attractive the numbers look. Relevance protects your install conversion rate and your retention.

Step 1: Define your true competitors

Your ASO competitors are not always your business competitors. They are the apps that appear next to yours in search results for your core terms. A large brand in your category may rank for everything yet serve a different user, while a small app with a similar promise is the one taking your installs.

Pick five to ten apps, mixing:

• Direct rivals with the same core job and audience.
• Category leaders that dominate your head terms.
• Newer, fast-rising apps whose metadata is probably recently tuned.

Run the check separately for each store and each country you target. Rankings, popularity and competitors differ by storefront.

If you manage a portfolio, repeat this per app rather than pooling competitors. A tool built for competitor intelligence lets you keep each app’s rival set side by side.

Step 2: Collect the keywords they rank for

With the competitor set fixed, gather every keyword each rival ranks for, together with its rank position and popularity. You can do this in three ways.

Manually. Search your main terms in the store, note who appears, and read their titles and subtitles. This is slow but teaches you how rivals position themselves. It also shows a limit of the method: you can see visible metadata, not the hidden keyword field on Apple.

With a spreadsheet and a keyword tool. Export each rival’s ranking keywords and combine them in a sheet. For discovering and organizing the wider pool of candidate terms, a keyword discovery workflow can speed up the brainstorming stage before you validate terms in the stores themselves.

With an all-in-one ASO platform. Track your keywords and your rivals’ in one view, so the gap list updates as rankings move. This is what we built our ASO tools to do, and it removes the export-and-merge routine entirely.

Whichever route you take, record the same columns for every keyword:

Step 3: Subtract what you already rank for

Start with the terms where you already rank. These are your baseline, and they stop you from “discovering” gaps you have already covered. Then filter the combined rival list to keywords where at least one competitor ranks well, for example in the top 10, and you either rank poorly or not at all.

A practical filter set:

• Rival rank: top 10 for at least two competitors. A term that several true rivals rank for is rarely an accident.
• Your rank: outside the top 50 or not ranking.
• Popularity: above the floor you set for your category. Very low popularity terms rarely repay a slot.

One more check: look at how many of your rivals rank for the term. If only one does, it may be a niche feature. If most of them do, it is probably a core category query you cannot afford to miss.

Step 4: Filter for relevance with a simple matrix

This is where most gap audits go wrong. A raw export is full of branded terms, unrelated features and generic words. Build a small relevance matrix and score each candidate.

Remove competitor brand names outright. Beyond being poor targeting, store guidelines discourage misleading references to other apps. Google’s own store listing best practices say not to include misleading or irrelevant references to other apps or products.

Then group the survivors into clusters by intent. “Habit tracker,” “daily routine planner” and “streak counter” might be one cluster for a habit app. Clusters keep your metadata coherent and make it easier to see whether you are missing a whole topic, not just a single word.

Metrics that show opportunity

Several numbers help you rank the gaps that passed the relevance filter:

• Popularity or search volume: the estimated demand for the term in a given store and country.
• Difficulty: how entrenched the top results are, usually based on their ratings, install velocity and metadata match.
• Your current rank: a keyword where you sit at rank 15 to 40 is often cheaper to lift than one where you are absent.
• Rival strength: if the top results are apps with weak metadata for the term, you have an opening.
• Fit with conversion: whether your icon, screenshots and rating would convince a searcher who sees your result.

Treat all scores from any tool as estimates. They are good for ordering a list, not for forecasting exact installs. Test a prediction against real impressions and installs once the change is live.

A quick scoring formula keeps decisions consistent: opportunity equals relevance times popularity, divided by difficulty. You don’t need the exact numbers to be right, only the order.

Step 5: Place the winners where each store indexes them

The same keyword goes in different places on Apple and Google Play, so check the rules before you rewrite anything.

These limits are as summarized in an ASO guide; Google’s own help page confirms the 4,000-character full description and 80-character short description. Always confirm Apple’s current limits in App Store Connect when you edit, since fields and limits can change.

How to apply this:

• Highest-priority gaps go in the title and subtitle on iOS, and the title and short description on Google Play. These carry the most weight and are visible to users, so they must read naturally.
• Medium-priority gaps go in the iOS keyword field. Don’t repeat words already in your name or subtitle, because repetition wastes space.
• Google Play gaps also belong in the full description, written in real sentences. Repeating a phrase naturally helps; stuffing a list of keywords does not, and it risks a policy problem.
• Adjacent, score 2 terms can live in the description, screenshots captions and in-app text where they help conversion.

Prioritizing which uncovered terms deserve scarce characters is the same discipline as targeting buyers rather than raw clicks in web SEO: choose terms by likely qualified users, not by volume alone.

A worked example

Imagine a budgeting app. Its rivals rank for these terms, and it does not:

The example is illustrative, not real data. It shows the pattern: the strongest gaps are relevant, demanded and winnable, and several high-volume entries are dropped at the first filter.

Perspective

Most teams treat keyword gaps as a one-off spreadsheet exercise, and that is why the list goes stale within weeks. We think the gap is a living signal. Your rivals edit their listings, the stores shift rankings, and new queries appear. A gap you closed in spring can reopen in autumn.

That is why we built Apptenium to keep scanning, keyword tracking and competitor intelligence in one place, with AI recommendations that turn each scan into copy-ready fixes. When your listing data, your rivals’ rankings and your performance numbers sit together, you stop switching between tools and start deciding faster.

Our advice: choose a small number of high-relevance gaps, change your metadata, and watch the effect on real installs. Repeat monthly. The compounding comes from the habit, not from one big rewrite.

Mike

How to measure whether closing a gap worked

A rank change alone doesn’t prove growth. A Yodel Mobile analysis describes the strongest measurement as a combination of visibility, traffic, conversion, install and downstream-quality signals. Its logic: a metadata change is more credibly linked to growth when rankings improve, impressions rise, organic store traffic increases, conversion holds steady and installs grow without extra paid spend.

A practical routine:

1. Record a baseline for each targeted keyword: rank, impressions and installs for the four weeks before the change.
2. Change one cluster at a time. If you rewrite everything, you can’t tell which edit worked.
3. Watch rank first, then impressions, then store listing visitors, then installs. Rank usually moves before installs do.
4. Check conversion. If impressions rise but conversion falls, the new terms may attract the wrong users. Revisit relevance.
5. Look downstream. Compare retention and revenue for users who arrived after the change. Connecting store data with Firebase or Google Analytics makes this far easier.
6. Account for seasonality and campaigns. Note any paid pushes, featuring or holidays during the window.

Rank movement is directional evidence. Before-and-after comparisons are correlational. Native store listing experiments give controlled evidence for conversion changes. Use each for what it can support.

Common mistakes to avoid

• Chasing volume over relevance. High-popularity terms that don’t describe your app lower conversion.
• Copying a rival’s whole title. You inherit their positioning, and you don’t differentiate.
• Repeating keywords. On Apple, repeating words across name, subtitle and keyword field wastes characters.
• Ignoring localization. A gap in one country may not exist in another, and local-language terms are often less contested.
• Treating the audit as finished. Gaps shift. Schedule a recheck.
• Skipping the creative. A new rank brings impressions, but your icon and screenshots must win the tap. Our free ASO tools include a listing scanner, word frequency analysis and an icon generator for exactly this stage.

Run your gap analysis in one place

If you want to find gaps without exporting and merging sheets, Apptenium combines ASO scanning, keyword tracking, competitor intelligence and AI-powered listing recommendations. The Free plan gives you a limited number of scans per month, and Pro is $9.99 per month with unlimited scans and premium features. You can compare both on the pricing page.

Start by scanning your current listing, add your closest rivals, and work through the first cluster of gaps this week.

FAQ

What is the difference between a keyword gap and a missed keyword?

A keyword gap involves competitors: it is a relevant term where true rivals rank and you don’t. A missed keyword is any relevant term you don’t use, whether or not anyone competes on it. Gap analysis is a quicker way to find missed keywords that have proven demand.

How often should I check keyword gaps?

Monthly is a sensible rhythm for most apps, and after any major competitor update or your own release. Rankings and rival metadata change continuously, so a list that is a few months old can mislead you. Fast-moving categories may justify a faster review.

Can I use the same keywords on iOS and Google Play?

You can use the same strategy, but not the same placement. Apple indexes the name, subtitle and a hidden keyword field, not the long description. Google Play indexes the title, short description and full description, and has no keyword field. Rankings and competitors also differ per store, so run each analysis separately.

Should I target keywords where competitors rank in the top spots?

Only if the term is relevant and you can compete. Start with gaps where you are already close, or where top results have weak metadata for the term. For very hard head terms, build supporting rankings on related long-tail phrases first.

Sources

• Customlytics: A guide to App Store Optimization basics
• Competitor Keyword Gap Analysis: Finding ASO Gaps
• Does ASO move the needle? The case for organic incrementality testing
• App Store Optimization for Indie Games (2026)
• Best practices for your store listing, Play Console Help
• Keyword Research Tool
• Keyword research that targets buyers

Recommended

• ASO Tools for App Store & Google Play