How to Do Keyword Research for App Store Optimization

Seed keywords are the starting point for all keyword research. They are the most obvious terms that describe what your app does. From these seeds, you will expand into dozens of variations, long-tail terms, and competitor-inspired ideas.

Source 1: Your app description.Read your own app description and highlight every noun and verb that describes a feature or use case. If your app is a recipe organizer, your seeds might include: "recipe," "cookbook," "meal plan," "grocery list," "cooking," "food planner." These are the words your potential users would use to describe what they are looking for.

Source 2: User language.Read your reviews, support emails, and social media mentions. Pay attention to the exact words users use when talking about your app. If users keep saying "meal prep" but your listing says "recipe management," you are missing a keyword that matches real user language. The best keywords come from how users think, not how developers think.

Source 3: App store autocomplete.Go to the App Store or Google Play and start typing your seed keywords. The autocomplete suggestions are based on actual search behavior, making them a goldmine for keyword discovery. Type "recipe" and note every suggestion: "recipe app," "recipe organizer," "recipe keeper," "recipe book." Then try "meal": "meal planner," "meal prep," "meal tracker." Each suggestion is a validated search term.

Source 4: Category browsing.Look at the app store category your app belongs to. Browse the top 50 apps and note recurring words in their titles and subtitles. These represent the keyword landscape of your category. If every top recipe app includes "healthy" in their title, that is a signal about what users in your category value and search for.

Aim to generate 30 to 50 seed keywords from these sources. You will narrow this list down in the evaluation phase, so cast a wide net now. Include synonyms, abbreviations, and both singular and plural forms.

Not all keywords are worth targeting. The evaluation phase is where you separate high-potential keywords from time-wasters. Every keyword should be assessed on three dimensions: volume, difficulty, and relevance.

Volume measures how many times users search for a term in a given period. Higher volume means more potential downloads if you rank well. But volume alone is misleading. A keyword with 10,000 monthly searches where you rank 50th is worth less than a keyword with 500 monthly searches where you rank 3rd. Volume sets the ceiling; your ranking determines how much of that ceiling you capture.

Difficulty (sometimes called competition) indicates how hard it is to rank in the top ten for a keyword. It is determined by the strength of apps that currently rank: their download counts, ratings, age, and metadata optimization. A difficulty score of 80 out of 100 means the top results are established apps with millions of downloads. A score of 15 means the current top results are weak and beatable.

Relevance is the most important and most overlooked factor. A keyword must accurately describe what your app does. Ranking for an irrelevant keyword might get impressions, but users will not download an app that does not match their search intent. Worse, low conversion signals to the algorithm that your app is not a good result for that term, which can hurt your overall ranking authority.

The sweet spot is a keyword with moderate volume (enough to matter), low-to-medium difficulty (you can realistically rank for it), and high relevance (it describes your core functionality). Use this formula mentally: value = (volume x relevance) / difficulty. The keywords with the highest value score are your priority targets.

Long-tail keywords are longer, more specific search terms with lower individual volume but higher conversion rates and lower competition. For most apps, especially newer ones, a long-tail strategy delivers faster results than chasing head terms.

Consider the difference between "fitness app" and "7 minute workout timer." The first term has massive volume but is dominated by apps with millions of downloads. The second has a fraction of the search volume but far less competition, and users who search for it have a very specific need that a focused app can serve perfectly. If your app is a quick workout timer, you will convert better on the specific term and rank for it much faster.

How to find long-tail keywords:Take your seed keywords and add modifiers. Common modifiers include "free," "best," "simple," "offline," use cases ("for beginners," "for kids," "for couples"), and specific features ("with timer," "with reminders," "no ads"). Each combination creates a long-tail term. Then validate these using autocomplete suggestions and search volume data from an ASO tool.

The compounding effect:Ranking in the top three for ten long-tail keywords can generate more total downloads than ranking 20th for one high-volume head term. Each ranking also builds your app's authority signals (downloads, engagement, ratings), making it progressively easier to rank for more competitive keywords over time. Long-tail is not just a starting strategy. It is the foundation that enables you to go after bigger keywords later.

If you are new to ASO and want a plain-language explanation of how all of this fits together, our ASO for non-marketers guide covers the fundamentals without jargon.

Your competitors have already done keyword research for you. By analyzing which keywords they rank for, you can discover terms you missed and find gaps where they are weak and you can be strong.

Step 1: Identify your real competitors. Do not just pick the biggest apps in your category. Your real competitors are the apps that rank for the same keywords you are targeting. Search your primary keywords and note which apps consistently appear. These are the apps fighting for the same users, and they are the most relevant to study.

Step 2: Analyze their metadata.Look at their titles, subtitles, and descriptions. Which keywords do they prioritize? If three of your top five competitors all include "meal prep" in their title, that term is probably worth targeting. Conversely, if none of them mention a feature you offer (say, "grocery delivery integration"), that is a keyword gap you can own.

Step 3: Find keyword gaps. A keyword gap is a term with decent search volume where your competitors rank but you do not. These are opportunities because the demand is validated (users search for it and competitors serve it) but you are not yet in the race. Adding these terms to your metadata can produce quick ranking wins, especially if the current competition for them is moderate.

Step 4: Monitor changes. When a competitor updates their title or keyword field, they are usually responding to data. Track competitor metadata changes over time. If a competitor drops a keyword they previously targeted, it might mean that keyword underperformed. If they add a new one, it might be an emerging opportunity worth investigating. Tools like Lite ASO automate competitor monitoring so you get alerts when rivals change their strategy.

Not all keywords serve the same purpose. Organizing your keywords by user intent helps you prioritize which ones to place in your highest-impact metadata fields and which to use in supporting copy.

Core feature keywordsdescribe your app's primary function. For a budgeting app, these might be "budget tracker," "expense manager," "money tracker." These should appear in your title and subtitle because they have the highest relevance and typically the highest volume in your niche. Users searching these terms want exactly what you offer.

Use case keywordsdescribe specific scenarios. "Track monthly expenses," "split bills with friends," "save for vacation." These are excellent for your keyword field (Apple) or long description (Google Play). They capture users with a specific need and often have less competition because they are more specific.

Alternative and synonym keywordsare different words for the same thing. "Spending tracker," "finance app," "money manager." These expand your reach to users who use different vocabulary. Place these in your keyword field where they add coverage without taking up valuable title space.

Brand and competitor keywords include your own brand name and competitor brand names. While you should always include your brand name in your title, targeting competitor brand names is a gray area. Apple prohibits using competitor trademarks in your keyword field, but on Google Play, appearing in search results for competitor names can happen naturally if your description mentions a comparison. Be aware of the guidelines for each store.

Create a simple spreadsheet with columns for keyword, intent category, estimated volume, difficulty, and priority. This becomes your keyword map and the basis for every metadata update. Refer to it when writing your title, subtitle, keyword field, and description to ensure every high-priority term is covered somewhere in your listing.

Here is a step-by-step workflow you can follow every time you do keyword research, whether it is your first time or your monthly refresh.

Step 1: Generate seed keywords (15 minutes). List every word and phrase that describes your app's features, use cases, and category. Pull from your app description, user reviews, and competitor titles. Aim for 30 to 50 raw terms. Do not filter yet. Just brainstorm.

Step 2: Expand with autocomplete (15 minutes). Enter each seed keyword into the App Store or Google Play search bar and record every autocomplete suggestion. Also try typing just the first two or three letters of each seed to see broader suggestions. This typically doubles your keyword list to 60 to 100 terms.

Step 3: Get volume and difficulty data (10 minutes). Use a keyword research tool to look up estimated search volume and difficulty for each term on your expanded list. Lite ASO's keyword explorer provides both metrics along with AI-powered suggestions for related terms you might have missed. Export the data to a spreadsheet.

Step 4: Score and prioritize (15 minutes). For each keyword, assign a relevance score from 1 to 5 based on how accurately it describes your core features. Then calculate a priority score: (volume x relevance) / difficulty. Sort by priority score. Your top 15 to 25 keywords become your primary targets.

Step 5: Map keywords to metadata fields (10 minutes). Assign your top two keywords to your title. Assign the next two to three keywords to your subtitle (Apple) or short description (Google Play). Assign the remaining to your keyword field (Apple) or weave them into your long description (Google Play). Every priority keyword should have a home in your metadata. For detailed guidance on the best ASO tools for 2026 to help with this process, we have a full comparison guide.

Step 6: Set up tracking (5 minutes). Add your priority keywords to a rank tracking tool. Set up weekly or daily tracking depending on your tool's capabilities. Create a baseline snapshot of your current rankings before making any metadata changes.

Step 7: Update metadata and wait (5 minutes + 2 weeks). Submit your metadata update. On Google Play, changes go live immediately. On Apple, you will need a new version submission. After the update goes live, wait at least two weeks before evaluating results. The algorithm needs time to re-index your listing and reassess your ranking.

Total active time: about 75 minutes. Repeat this workflow monthly, spending less time on steps you have already done (your seed list grows incrementally) and more time on analyzing what worked in the previous cycle.

You can do basic keyword research manually using just the app store search bar, but dedicated tools make the process faster, more data-driven, and repeatable. Here is what to look for in a keyword research tool and how Lite ASO's features map to the workflow above.

Autocomplete suggestions.A good tool captures app store autocomplete suggestions programmatically, saving you from typing hundreds of queries manually. Lite ASO's autocomplete feature pulls real suggestions from both Apple App Store and Google Play, organized by relevance and estimated volume. This accelerates Step 2 of the workflow from 15 minutes to under two minutes.

Keyword explorer.This is the core of any ASO keyword tool. It provides search volume estimates, difficulty scores, and related keyword suggestions for any term. Lite ASO's keyword explorer also shows which apps currently rank in the top ten for each keyword, so you can assess the competitive landscape at a glance. You can check out the full set of capabilities on the features page.

AI-powered suggestions.Modern ASO tools use artificial intelligence to generate keyword ideas you would not think of on your own. Lite ASO's AI suggestion engine analyzes your app's category, current metadata, and competitor landscape to recommend keywords with high potential. It is especially useful for finding long-tail variations and cross-category terms that manual brainstorming often misses.

Rank tracking.Without tracking, you cannot measure the impact of your keyword research. A rank tracker shows your app's position for each target keyword over time, alerting you to drops that need attention and climbs that you should reinforce. Tracking data also reveals which keywords actually drive downloads versus which ones look good on paper but never convert.

Competitor keyword monitoring. The best keyword research tools track your competitors automatically. When a rival changes their metadata, adds new keywords, or experiences a significant ranking shift, you get notified. This competitive intelligence turns keyword research from a periodic task into a continuous information advantage.