In 2026, the App Store hosts over 2 million apps. Roughly 65% of downloads still come from search - which means the gap between apps that grow organically and apps that don't comes down to one thing: deliberate keyword research.
But keyword research has changed. Apple's search algorithm now weighs behavioral signals - taps, installs, retention - more heavily than ever. AI-generated app descriptions have flooded every category, raising the baseline quality of metadata while simultaneously making genuine differentiation more valuable. And AI tools on the developer side have made sophisticated analysis accessible to anyone with a rank tracker.
This guide walks through keyword research the way the most consistently growing indie apps approach it today.
Why the stakes are higher now
Every week, the App Store serves roughly 650 million visitors. Getting ranked for the right keyword at the right position still matters - a move from rank 18 to rank 8 for a mid-volume term can double installs from that keyword overnight.
The compounding dynamic: the more installs a keyword drives, the better your behavioral signals, the higher you rank for related keywords. This flywheel either works for you or against you. Keyword research is how you choose which flywheel to start.
Step 1 - Build your seed keyword list
Three sources cover 90% of valuable terms:
- Category keywords.What do people search when they want an app like yours? For a habit tracker: "habit tracker", "daily goals app", "routine planner". Start obvious. You can get sophisticated later.
- Competitor descriptors. Look at the top 5 apps in your category. What words appear in all their titles and subtitles? Those terms rank well because users search for them. You want a slice of that traffic.
- Long-tail intent phrases."Best free habit tracker", "habit tracker no subscription", "daily routine app ADHD". Lower volume, much easier to rank for, and conversion is higher because intent is specific.
In ASOIQ, the Keyword Explorer lets you paste seed terms and see which are already tracked by competitors - so you know where the competition is dense before you commit to a target.
Step 2 - Score by opportunity, not just volume
A keyword with 50,000 monthly searches but 40 strong competitors in the top 10 is nearly impossible to crack without millions of existing downloads. A keyword with 8,000 monthly searches and 3 weaker competitors is a gift.
The opportunity formula has three inputs:
- Volume - how many people search for it monthly
- Difficulty - how strong are the apps currently ranking (ratings, download velocity, metadata quality)
- Relevance - does the keyword describe what your app actually does?
High volume + low difficulty + high relevance = target immediately. High volume + high difficulty = wait until you've built authority with easier terms. Low relevance = skip. Ranking for a term that doesn't match your app burns your conversion rate and sends negative behavioral signals to the algorithm.
Step 3 - iOS metadata placement strategy
iOS gives you three indexed fields: title (30 chars), subtitle (30 chars), and the keywords field (100 chars). Apple does not index your description for search - that's for conversion, not discovery.
- Don't repeat keywords across fields. Apple already knows your title keywords. Putting them in the keywords field wastes characters.
- Use commas, no spaces. "habit,tracker,daily,goals" packs more terms than "habit tracker daily goals".
- Hit 95–100 characters. Every unused character is a missed opportunity.
- Refresh seasonally. January search patterns (new year resolutions) are different from July. Your competitors refresh. You should too.
Step 4 - Track, measure, iterate
Keyword research isn't a one-time event. Set a monthly calendar block to:
- Check which keywords entered top 10 (consider adding them to your title or subtitle)
- Check which keywords dropped out of top 50 (refresh metadata to recover)
- Run a competitor gap analysis to see what's working for apps that recently passed you
- Look for new long-tail terms that surfaced in your data
The apps that compound organic growth aren't smarter - they're more systematic. A 15-minute monthly review beats a quarterly panic-and-rewrite every time.
The AI era advantage
Apple's search algorithm uses machine learning to understand semantic relationships between queries and app functionality. This means keyword stuffing is increasingly ineffective - semantic relevance matters more than raw density. An app whose metadata accurately describes what it does will outperform one gaming the old system.
The practical AI workflow for 2026:
- Load your rank data into a tracker (ASOIQ does this automatically with daily crawls)
- Use AI to surface high-value gaps your current metadata isn't covering
- Test the new metadata for 4–6 weeks
- Measure movement and repeat
Start with your seed list. Score by opportunity. Place intentionally. Let the data tell you what's working. That compounds.