ASO FOR
MEDITATION APPS.

These are research hypotheses, not measured demographic shares. Ask about experience, desired guidance, available time, teacher and language preference, sleep versus daytime intent, accessibility, offline use, price tolerance and safety needs. Do not infer a mental-health condition from an age, identity, job or search query.

Use search intent and relevance to separate courses, guided sessions, timers, sleep and breathwork before collecting terms.

These 100 candidates are unmeasured research inputs. Validate storefront suggestions, paid-search behavior, relevance, actual feature support and a meaningful completed session before prioritizing them.

Download the 100-keyword worksheet. Continue with seed keywords, competitor research, long-tail research and prioritization.

A narrow phrase is useful only when it maps to a real decision. Validate it with the long-tail guide before treating it as an opportunity.

Eight current US App Store listings were checked on 26 October 2026. Seven matching Google Play identities were verified; Open remains iOS-only in this comparison because the same product was not verified on Google Play. This compares visible positioning—not product quality, clinical suitability, popularity or results.

Preserve dated changes with competitor research and the metadata change log.

Use iOS app name, subtitle, keyword field, Google Play title and short description. Recheck Apple and Google Play documentation before release.

All 20 panels were opened at readable size. Visible choices, recommendations and unknown outcomes stay separate. Awards, ratings, user counts, research language and health outcomes visible in source artwork are not repeated as facts.

Original artwork from the Insight Timer US App Store listing, captured 26 October 2026. Select a panel to enlarge it.

What the screenshots show: The first frame is mostly awards, review and usage claims. The next frames separate sleep, a daily routine and a very large content library.

What I would test: Keep breadth for comparison shoppers, but test leading a specific session card with duration, guidance and teacher before scale proof. The outcome is unknown until tested.

Original artwork from the Headspace US App Store listing, captured 26 October 2026. Select a panel to enlarge it.

What the screenshots show: The sequence moves from brand awards to a stress program, sleep formats and a Basics course with a teacher choice.

What I would test: Test the course card first for beginner intent. It answers what the product does more clearly than an award-only opener. The outcome is unknown until tested.

Original artwork from the Calm US App Store listing, captured 26 October 2026. Select a panel to enlarge it.

What the screenshots show: Calm uses the first two frames for category leadership, ratings, awards and press. Product screens appear in frames three and four.

What I would test: For non-brand queries, test moving the most relevant product proof forward: sleep stories for sleep intent or a daily session for meditation intent. The outcome is unknown until tested.

Original artwork from the Balance US App Store listing, captured 26 October 2026. Select a panel to enlarge it.

What the screenshots show: The frames show several goals, a question about the biggest source of stress, a daily-picks home screen and category tiles.

What I would test: Replace the broad outcome claim with a visible explanation of how answers change the next session; personalization needs a mechanism. The outcome is unknown until tested.

Original artwork from the Medito US App Store listing, captured 26 October 2026. Select a panel to enlarge it.

What the screenshots show: The opener combines free access and social proof. A second claim leads with science, followed by the course library and sleep content.

What I would test: Lead with the exact free-access boundary or a beginner lesson. Keep research claims only with precise, reviewable support and appropriate qualification. The outcome is unknown until tested.

Apply screenshot strategy, order, readability and storytelling.

Still Cue is fictional. This example assumes verified beginner courses, session filters, teacher and technique labels, full/light/timer/silent guidance, interval bells, pause and end controls, offline downloads, transcripts and a clear professional-care boundary.

Description opening: Choose how long you have, how much guidance you want and which technique you are about to practise. Preview the teacher, download the session and stop or adjust at any time.

Boundary line: Still Cue supports general mindfulness practice; it does not diagnose, treat or replace professional or emergency mental-health care.

CTA: Choose my first session.

Download the ten-test backlog and turn each idea into a falsifiable A/B-test hypothesis.

No campaigns or spend are authorized. Keep exact, broad and Search Match controlled. Exclude therapy, diagnosis, medication, crisis, unsupported religion or tradition, children, hypnosis, live teacher, music-only and disease-treatment queries. Do not optimize away a professional-care or crisis exit.

Follow Apple documentation for match types, negatives and ad variations. Evaluate with ASO KPIs, conversion definitions, completed supported practice, safety exits and customer economics—not taps alone.

Use the competitor-research process to recheck patterns before every release. A common pattern is not automatically a good strategy.

The two images below are fictional Still Cue concepts made after the real screenshot review. They are prompts for a human design and product discussion—not competitor screenshots, live features or test winners.

Concept review: The first concept makes a session legible, but its perfect card could overstate how consistently real content is tagged. The second explains changing guidance well, but selected states, bell behavior and “End anytime” must match the shipped player. Neither proves accessibility, safety, offline playback or improved conversion.

Before production: Rebuild in the product design system; verify every field and control; complete health-claim, policy, privacy, teacher-rights, localization and accessibility review; then test one message with a clear A/B-test hypothesis.

Prioritize markets with market prioritization, research them through local keyword research, adapt teachers and session proof with screenshot adaptation and finish with localization QA. Go deeper with the guided-meditation, sleep-meditation or breathwork-app ASO playbook. For a second opinion, see ASO audit or ASO services.