App Store Keyword Research: A Step-by-Step Guide for Indie Developers
App Store keyword research is where most indie developers make their first serious mistake. They pick keywords based on what sounds right, or they copy whatever the top-ranked competitor uses, and then they wonder why organic downloads never materialise.
This guide covers the full process of app store keyword research from scratch: how to find your first keywords, how to evaluate keyword difficulty in the App Store, when to go after long-tail terms instead of head terms, and how to validate your choices with real download data before you commit to a title and subtitle.
There is a worked example throughout using a focus timer app — a realistic category with meaningful competition — so every step has a concrete anchor.
Why Keyword Research Matters More for Indie Developers Than for Anyone Else
Large publishers can buy paid installs, run brand campaigns, and get featured placements. You probably cannot. For indie developers, organic App Store search is often the only sustainable acquisition channel, and organic search is almost entirely driven by which keywords your app is associated with.
The App Store algorithm considers three things when deciding which apps to show for a keyword: relevance, conversion rate, and velocity. You control the first one directly through your metadata. The others depend on how well your app serves users who find it. That is why picking the right keywords at the start — terms where you have a real shot at visibility and where the searchers are likely to convert — has compounding value that poor keyword selection cannot overcome later.
Step 1: Generate App Store Seed Keywords
Seed keywords are your starting point. They are broad terms that describe what your app does, not terms you will necessarily target. You will refine them in later steps.
For a focus timer app, obvious seeds might be:
- focus timer
- pomodoro timer
- productivity timer
- study timer
- work timer
- time blocking app
- deep work timer
Write these down without filtering. The goal here is volume of ideas, not quality. You want 20–30 seeds before you start narrowing.
Where to find seeds:
The App Store search bar itself. Type your category name and watch the autocomplete suggestions. Each suggestion represents a query that real users have typed. These are gold — they are confirmed search terms, not assumptions.
Competitor metadata. Find 3–5 apps that are already doing well in your category. Read their titles, subtitles, and descriptions carefully. ASO-savvy developers embed their most valuable keywords in those fields. You are not copying them — you are building a vocabulary of terms your market already uses.
App Store category browsing. Go to the category that fits your app and look at the apps ranked in the top 25. Read their names. App names in a given category tend to converge on the same keyword set because developers are targeting the same search terms.
Keyword modifiers. Take your seeds and add modifiers: best, free, simple, daily, offline, ios, iphone. These combinations often reveal mid-tail terms with lower competition than the root term.
Step 2: Understand the Three Keyword Types and When to Use Each
Not all keywords are equal in difficulty or value. App Store keywords fall into three rough categories:
Head terms are short, high-volume, high-competition terms: "focus timer," "to-do list," "meditation app." These terms get enormous search volume, but the top 10 results are almost always established apps with thousands of ratings and significant download velocity. As an indie developer with a new app and no review history, ranking for a pure head term is very difficult. That does not mean you should never include them — your title should still include the most relevant one — but you should not build your strategy around ranking for them on day one.
Mid-tail terms are two to three word phrases: "focus timer for studying," "pomodoro timer iphone," "study timer app." These have meaningful volume and more achievable competition. A new app with a solid conversion rate and a small burst of legitimate installs can reach the top 10 for many mid-tail terms.
Long-tail terms are specific, intent-dense phrases: "pomodoro timer no distractions," "focus timer with ambient sound," "study timer with breaks." Volume is lower, but so is competition, and the people searching for these terms know exactly what they want. Long-tail keywords often produce better conversion rates because the searcher is already pre-qualified.
For a new app, the practical strategy is: use your most important head term once in your title, build your subtitle around one strong mid-tail term, and populate your keyword field with long-tail variations that have low-to-medium competition. This gives you realistic ranking opportunities while keeping you associated with the broader category term.
Step 3: Evaluate Competition for Each Keyword
Having a list of keyword ideas is not the same as knowing which ones to target. To make that decision, you need to evaluate the competitive landscape for each term.
For each keyword you are considering, look at the top 5 results and assess:
Rating count. How many ratings do the top-ranking apps have? If apps 1–5 all have 10,000+ ratings, that is a strong signal of established dominance. If some apps in the top 5 have fewer than 500 ratings, there is room for a new entrant to compete.
Rating score. A top-ranked app with a 3.5 star rating is vulnerable. If you can ship a 4.6-star app into the same slot, the algorithm will eventually notice.
Publisher size. Is the top result a multinational company with a dedicated ASO team, or is it another indie developer? Competing with individual developers is more achievable than competing with a company that treats the App Store as a full-time job.
App update frequency. Apps that have not been updated in 12+ months often start losing ranking traction. These are weak positions you can displace.
The gap between rank 1 and rank 10. If the top app is dominant and everything below it looks weak, that suggests a fragmented middle of the market. Your app does not need to beat the market leader to get meaningful traffic — ranking 3rd to 7th in a decent-volume keyword generates real installs.
Step 4: Estimate App Store Search Volume Without a Paid Tool
The App Store does not publish keyword search volume. If you do not have access to a paid ASO tool, you can triangulate volume through indirect signals:
Autocomplete position. When you type a term into the App Store search bar, does it appear in the top 3 autocomplete suggestions, or does it not appear at all? Terms that appear early in autocomplete generally have higher volume than terms that appear later or not at all.
Competitor download estimates. If the top-ranking apps for a keyword have download numbers in the tens of thousands per month, the keyword has real volume. If the top apps are tiny — a few hundred downloads per month — the keyword is probably low-volume.
Google Trends. This is not a direct App Store signal, but if a term has zero Google interest, it likely has low App Store search volume as well. Terms with seasonal Google patterns often have the same patterns on the App Store.
Related keyword competition. If a keyword has many serious apps fighting for it — apps with big budgets, lots of ratings, frequent updates — those developers chose to compete there for a reason.
App Store Connect Search Terms (post-launch). Once your app is live, App Store Connect shows exactly which search terms drove impressions to your listing. This is real volume data, not a proxy. Before launch, you can infer keyword activity by checking whether apps you know are strong in your category are visible in search results for a given term.
The "Customers Also Bought" section. On any well-ranked competitor's page, scroll to "Customers Also Bought." Apps that appear there are competing in the same intent space. If those apps are large and well-resourced, the underlying keyword likely has meaningful volume. This section also surfaces related keyword ideas you may have missed in your seed research.
Worked Example: Researching Keywords for a Focus Timer App
Let us walk through this concretely. You are building a focus timer app. You have your seed list. Now you want to narrow it to 10–15 keywords worth targeting.
You start with "focus timer." You search it in the App Store. The top results include apps with 50,000+ ratings from developers with large portfolios. Not a day-one target.
You try "study timer." Similar picture — well-established apps dominate. But you notice two things: several of the top results have not been updated in 18 months, and one app with 3.2 stars is ranked third. There is a crack here.
You try "pomodoro timer for iphone." The top 5 include two apps with under 300 ratings. One has a 4.0 star score. This looks competitive.
You try "focus timer without internet." Only three serious results. Average rating count is low. This is a long-tail term you can realistically rank for.
You try "deep work timer app." The results are thin — most apps appearing are not specifically designed for deep work sessions. There is almost no competition.
You continue this process for 20–25 terms. At the end of it, you have a shortlist:
- Title keyword: "focus timer" (must appear, even though competition is high)
- Subtitle keyword: "study timer & pomodoro" (mid-tail, achievable)
- Keyword field candidates: "deep work timer," "focus timer without internet," "pomodoro timer for studying," "work session timer," "study break timer," "focus mode timer," "concentration timer"
This shortlist is the foundation of your keyword strategy. You will refine it further as you gather real performance data after launch.
Step 5: Choose Your Title and Subtitle Keywords
Your app title and subtitle are the most important keyword fields in App Store metadata. The App Store gives these fields significantly more indexing weight than your keyword field. This is where your best terms go.
Title: Include your single most important keyword — the one head term that best describes your app's primary function. Keep it natural. "FocusFlow — Focus Timer & Pomodoro" works better than "Focus Timer Study Timer Pomodoro Work Timer App."
Subtitle: This is 30 characters, so you can fit roughly one mid-tail term or two short terms. Target your second-most important keyword here — ideally one that complements rather than duplicates the title. If your title uses "focus timer," your subtitle might target "study timer" or "pomodoro."
Keyword field: 100 characters, comma-separated, no spaces after commas. This is where your long-tail terms go. Do not duplicate terms that already appear in your title or subtitle — the algorithm reads all three fields together. Avoid brand names, competitor names, and Apple trademark terms. Focus on descriptive terms your users would actually search for.
Step 6: Validate With Real Download Data
Before you finalise your keyword strategy, validate your competition assessment with actual download numbers. Rating counts are a proxy for downloads, but they are imprecise. Some users never rate apps. Category conversion rates vary. You want to see real download estimates for the apps ranking in your target keywords.
The manual approach is to estimate download ranges from public signals: an app with 10,000 lifetime ratings that is adding around 500 new ratings per month is likely pulling tens of thousands of downloads per month, assuming a 1–5% download-to-rating conversion rate. You can cross-check this against App Store Connect's traffic data if you have a similar app already live, or by looking at the download velocity of competitors using the "Similar Apps" section on their listing.
This manual process is slow and imprecise. Getting reliable download estimates has historically required either a SensorTower subscription — expensive for a solo developer — or hours of cross-referencing indirect signals across multiple tools. For an indie developer working alone, that cost often means the research simply does not get done.
How App Store Operator Speeds Up This Workflow
App Store Operator is an MCP server for Claude that pulls App Store and SensorTower data directly into your AI workflow. Instead of switching between browser tabs and copying numbers into a spreadsheet, you ask Claude a question and get a structured competitive report.
For the focus timer example, you would run a query like:
Research the top competitors for the keyword "study timer" in the US App Store.
App Store Operator calls the App Store and SensorTower and returns, for each top-ranked app: estimated monthly downloads, estimated monthly revenue, rating count, rating score, publisher country, and top markets. You get this for the top 3 apps in a single response, in under 60 seconds.
This data answers the core questions from Step 3 directly:
- Are the top-ranked apps pulling real download volume, or is this a low-traffic keyword?
- What download tier are you competing in (1K/month, 10K/month, 100K/month)?
- Which publishers are winning — big companies or individuals?
- Are there apps in the top 5 with weak metrics that you can displace?
With download estimates in hand, you can make a much more informed decision about which keywords are worth pursuing and which ones to cut. A keyword where the top 5 apps average 50,000 downloads per month is a different opportunity than one where the top app does 800 downloads per month.
To set up App Store Operator, run:
npx -y app-store-operator@latest
That one command installs the MCP server and makes it available inside Claude. No subscription required.
The Keyword Research Checklist
Before you finalise your App Store metadata, confirm you have done all of the following:
- Generated at least 20 seed keywords from autocomplete, competitor metadata, and category browsing
- Classified keywords into head, mid-tail, and long-tail groups
- Checked the top 5 results for each candidate keyword: rating count, rating score, update recency, publisher type
- Pulled download estimates for your top 5 target keywords
- Placed one head term in your title, one mid-tail term in your subtitle
- Populated the keyword field with non-overlapping long-tail terms, using all 100 characters
- Confirmed no duplicate terms across your title, subtitle, and keyword field
Revisit this checklist monthly after launch: check rankings, double down on terms gaining traction, and cut anything that has produced zero impressions for 4–6 weeks.
Frequently Asked Questions
How many keywords should I target for a new App Store app?
Focus on 10–15 keywords spread across your title, subtitle, and keyword field. Your title handles one head term, your subtitle handles one mid-tail term, and your keyword field (100 characters) covers the remaining long-tail variations. Quality over quantity — 10 well-chosen keywords outperform 50 random ones.
Can I use competitor brand names as App Store keywords?
No. Apple's guidelines prohibit using competitor brand names or trademarked terms in your keyword field, title, or subtitle. Apps that include competitor names risk rejection or removal. Build your keyword strategy around descriptive terms that describe what your app actually does.
Does the App Store keyword field carry as much weight as the title?
No. The title and subtitle carry significantly more indexing weight than the keyword field. Your most important keyword belongs in your title, your second-most important in the subtitle. The keyword field is for long-tail terms that would not fit naturally in your title or subtitle.
How often should I update my App Store keywords?
Once a month is a practical cadence for most indie developers. Check your Search Impressions data in App Store Connect to see which keywords are driving views and which are not. Cut terms that produce zero impressions after 4–6 weeks and replace them with new candidates from your research backlog.
What Comes Next
After your keywords are set, the next question is whether your listing converts the users who do find you. A keyword that brings 200 visits per month but converts at 5% is less valuable than a keyword with 100 visits that converts at 25%.
This is where keyword selection and conversion rate optimisation connect directly. When you target attainable keywords — terms where the searcher's intent matches exactly what your app does — you attract users who are already pre-sold on the category. A developer searching "pomodoro timer for iphone" knows they want a pomodoro timer. If your listing accurately represents that, your conversion rate reflects it. The mistake is chasing broad head terms for volume, then wondering why visitors bounce. Alignment between keyword intent and product reality is what good ASO keyword research is actually optimising for.
For the competitive analysis step — pulling real download estimates for the apps ranking in your target keywords — App Store Operator does the data pull in one command inside Claude.
Run your first competitive research in 60 seconds.
App Store Operator connects Claude to App Store and SensorTower data — no browser, no API keys, no manual copy-paste.
View setup guide →