Optimizing Keywords for Mobile App Listing
The Keywords field in App Store — exactly 100 characters with commas. Not words, not key phrases — characters. Space after comma is already wasted character. Difference between "tasks,planner" and "tasks, planner" — one useless space per separator.
App Store: 100-Character Anatomy
Apple indexes words, not phrases. "GTD planner tasks" in Keywords indexes "GTD," "planner," "tasks" — each word separately and combinations. Entering phrases wholesale isn't necessary, algorithm builds combinations from words in different fields.
What not to add to Keywords:
- Words already in Name and Subtitle — Apple ignores duplicates
- App name or brand
- App category (App Store adds this automatically)
- Misspelled words — algorithm processes typos well without special duplication
- Stop-words: "app," "for," "iOS," "App"
Example Keywords optimization for task planner:
Before: tasks,task planner,to do list,gtd,productivity,lists
(56 characters, inefficient — "tasks" and "task" duplicate meaning)
After: gtd,kanban,pomodoro,organizer,reminders,habits,focus,inbox
(62 characters, covers adjacent queries without duplication)
Google Play: Keywords in Description
Google Play has no separate Keywords field. Keywords distributed across Title (50 characters), Short Description (80 characters), and Full Description (4000 characters). Google indexes everything.
Working density for Full Description: target cluster appears 3–5 times per 2000–3000 characters. Not "task" exactly 5 times in a row — but naturally: "task management," "task list," "tasks for the day," "team tasks."
Google Play understands Russian morphology well: "task," "tasks," "tasking" is one semantic cluster. No need to list all word forms.
Researching Competitor Keywords
Fastest way to find underused keywords — check which words rank direct competitors you lack.
Tools for analysis:
AppTweak — shows competitor top keywords with volume estimate (Volume, 1–100). Keywords with Volume 20–50 at low difficulty (Difficulty < 50) — priority for new apps.
Sensor Tower — Download Estimates by keywords, estimate real traffic.
AppFollow — position change tracking over time. Shows what changed in competitor metadata and how it affected positions.
Practical trick: enter competitor in AppTweak → "Keywords not in your app" section → sort by Volume → pick relevant with reasonable difficulty.
Seasonality and Keyword Updates
Demand for keywords changes over time. "New Year habits," "annual planning" — January peak. "School," "schedule" — August-September. Add seasonal keywords 2–3 weeks before peak and remove after — simple way to catch traffic without product changes.
App Store lets update Keywords without new app release. Google Play — Short Description and Full Description also update independently from version. Opens iteration-every-2-4-weeks opportunity.
Tracking Change Effects
After each metadata update — fix baseline positions for target keywords in AppFollow or AppTweak. Measurable effect shows in 1–3 weeks for App Store, for Google Play faster (indexing updates takes hours, not days).
Tracking metrics:
- Positions for key queries (rank tracking)
- Install Rate (view to install conversion) — in App Store Connect / Play Console
- Impression Volume — total organic search traffic
Process
Audit current metadata: which keywords used, actually ranking for which.
Keyword research: competitors, adjacent clusters, long-tail, seasonality.
Compose optimized fields for App Store and Google Play.
Set up position tracking, fix baseline.
Iterations: check effect in 2–4 weeks, adjust.
Timeline Estimates
One-time keyword optimization (App Store + Google Play, one language) — 1–2 days. With competitor analytics and iteration plan — up to 3 days.