Related Keywords Finder
Expand any seed keyword into the related terms App Store users search around it.
Every keyword sits inside a neighborhood of related searches — synonyms, adjacent needs, and alternative phrasings that the same users type. “Budget planner” connects to “expense tracker”, “money manager”, and “spending log”, and an app that only targets one corner of that neighborhood leaves the rest of its demand unclaimed. This finder maps the related-term neighborhood around any seed keyword so you can cover the full cluster instead of a single phrase.
Enter a seed keyword above to get its related terms. It is the fastest cure for keyword tunnel vision — the trap of describing your app in your own vocabulary instead of your users’.
How to find related keywords
- 1
Enter your strongest seed keyword — the term that best describes your app’s core job.
- 2
Choose the storefront to search in; related terms reflect each market’s own search patterns.
- 3
Review the returned terms and sort them into three buckets: direct synonyms, adjacent use cases, and irrelevant noise.
- 4
Feed the best discoveries back in as new seeds — two or three hops from your original term usually maps the whole keyword neighborhood.
Why related keywords beat brainstorming
Developers name features; users name problems. A team that built a “white noise generator” will brainstorm around those words, while their users search “sleep sounds”, “rain for sleeping”, and “baby calm noise”. Related-keyword expansion breaks that vocabulary gap by starting from actual search relationships rather than internal terminology — the terms it returns are connected because search behavior connects them, not because they share a dictionary root.
Coverage of a keyword cluster also compounds. Apple’s algorithm partially understands term relationships, so an app that ranks for several phrasings within one cluster tends to reinforce its relevance for the whole cluster. Sixty keyword-field characters spent across one tight neighborhood typically outperform the same characters scattered across unrelated hopefuls.
From related terms to a metadata plan
Once you have the neighborhood mapped, allocate by strength. Put your single hardest winnable term in the app name, your second tier in the subtitle, and pack the keyword field with the remaining cluster — remembering that Apple combines words across fields, so “sleep” in your title plus “tracker” in your keyword field already covers “sleep tracker” without repeating either word.
Related terms are also competitive reconnaissance. Run your top competitor’s main keyword through the finder and note which related terms they have not covered in their visible metadata: those uncovered adjacencies are often the cheapest ranking wins available, since the demand is proven but the strongest player is not contesting it.
Frequently asked questions
What are related keywords in ASO?
Terms connected to your seed keyword by real search behavior — synonyms (“expense tracker” for “budget app”), adjacent needs (“bill reminder”), and alternate phrasings users type when hunting for the same kind of app. Together they form a keyword cluster that shares one pool of demand.
How is this different from autocomplete suggestions?
Autocomplete extends your seed forward — completions that begin with what you typed. Related keywords move sideways to semantically connected terms that may share no words with your seed at all. The two are complementary: autocomplete finds long-tails of a phrase, related-keyword search finds sibling phrases.
Should I target every related keyword the tool returns?
No — filter first for relevance, then for viability. Discard terms that misdescribe your app (they attract installs that churn immediately), then check popularity and difficulty on the rest. A typical seed yields a handful of genuinely worthwhile additions, and that is plenty.
Do related keywords help Apple understand my app?
Indirectly, yes. Apple’s search algorithm recognizes term relationships, and consistent coverage of one semantic cluster across your name, subtitle, and keyword field gives it a coherent picture of what your app is. Scattered, unrelated keywords produce the opposite — a diluted relevance signal.
How often should I refresh my related keyword map?
Whenever you plan a metadata update, and at least once a quarter. Search neighborhoods drift as trends and competitors move — new sibling terms appear and old ones fade. A quick re-expansion of your core seeds before each metadata revision keeps your cluster coverage current.
Map your entire keyword neighborhood
Appalize expands, scores, and tracks whole keyword clusters — live popularity and difficulty on every term, plus daily ranks once they’re in your metadata.
Related free tools
App Store Autocomplete Explorer
See the live search suggestions the App Store shows for any seed term — the queries users actually type.
AI Keyword Suggestions
Describe your app and let AI generate keyword ideas you can validate against live App Store data.
Keyword Popularity Checker
Look up any keyword’s real App Store popularity score on Apple’s 5–100 scale.
Keyword Combiner
Generate every combination of two keyword lists for ASO and Apple Ads research.