Guide
ASO keyword research: find the searches your app can answer
October 19, 2026 · 4 min read
Keyword research for an app listing starts with the words people use for the problem, not the words your team uses for the product. That difference is often where a useful shortlist begins.
Write down the problem before the keywords
Describe the job the app helps someone do in plain language. A budgeting app might help someone track bills, plan monthly spending, or share household costs. Those are different search intents even if they lead to the same product.
Ask a few people who use the app how they would describe it to a friend. Their phrases are a better first draft than a list of internal feature names.
Group searches by intent
Put candidate phrases into small groups: the problem, the task, the audience, and the feature that solves it. A search for a running plan signals a different need from a search for a step counter, even when both fit a fitness app.
Keep each phrase next to the screen or feature that answers it. If you cannot make that connection, the phrase may bring visits from people who will not find what they expected.
Use competitors as a source of questions
Look at the words competing apps use in their names and descriptions, then inspect their screenshots and reviews. The listing can show how a product is positioned; reviews can reveal the language customers use for a problem or a missing feature.
Treat this as a source of ideas, not proof that a phrase has demand or that copying it will improve your ranking. Store search results and third-party estimates are imperfect signals.
Choose a shortlist you can explain
For every phrase, note its relevance, the intended audience, and where it could fit in your listing. Prefer a small set with a clear product match over a long list of loosely related terms.
Check the current metadata rules for each store and locale before publishing. Fields, character limits, and indexing behavior are not identical between Apple and Google Play.
Review the evidence after release
Keep a record of what changed and when. Compare store impressions, product-page visits, and downloads over comparable periods, while accounting for campaigns, releases, and seasonal shifts.
A phrase can bring more impressions without bringing the right visitors. Keep the connection between search intent and the first visible listing content in view.
Score candidate terms without pretending the data is exact
A simple worksheet can track the phrase, user intent, product evidence, market, and confidence in the research. Add search-volume estimates only when you know their source and limitations; third-party tools do not expose a complete or authoritative view of store search.
Prioritize strong relevance first. A phrase with uncertain volume but a clear connection to the app may be more useful to investigate than a broad popular term that attracts the wrong audience.
Turn research into a release hypothesis
Choose one cluster of related intent and decide where it belongs: title, subtitle, keyword field, Play description, or a supporting screenshot message. Keep the product claim accurate and ensure the listing actually answers the searcher’s need.
Record the current metadata and the date of the change. Review the same storefront and comparable traffic periods later, while noting campaigns, app releases, and seasonal shifts that may explain movement.
Validate relevance with real user language
Compare candidate phrases with support questions, review language, and the words customers use in interviews. These sources help reveal whether a term describes a genuine task or is only an attractive label in a keyword tool.
Keep a short rejection note for terms that imply unsupported features or the wrong audience. This prevents a future research pass from repeatedly bringing back the same poor-fit ideas.
Build listing visuals around the search intent
Choose a template that gives the main promise and the app interface room to read clearly.
Open App Snaps