01
Store search
Apple and Google intent systems, built separately.
- Indexing inputs
- Keyword and category footprint
- Rank + conversion read
// App Growth. ASO. AI Discovery
Rank. Install.
Recommended.
ASO for Apple App Store and Google Play. AI Discovery for the recommendation layer. App advertising connected to activation and value. One operating system for how an app is found, understood, chosen and grown.
Built for CMOs, growth leaders and app owners who need more than metadata: distinct Apple and Google systems, intent-matched storefronts, credible evidence, paid acquisition economics and a release backlog the team can actually ship.
Published pricing Client-owned accounts No install farms
Native operating surfaces
Official embedded product marks
Official embedded product marks
App Store
store + analytics
Google Play
store + acquisition
Google Ads
app campaigns
Meta
app promotion
OpenAI
observed answers
Gemini
observed answers
// The CMO decision desk
App growth is one equation with several doors.
A weak listing can waste paid demand. A cheap install can hide a poor cohort. A beautiful brand can be absent from assistant answers. The operating answer appears only when those systems are read together.
CMO lens · growth
Where should the next rupee of app growth go?
Start with the business constraint, not the channel. The decision desk joins category demand, store conversion, paid economics, retention and recommendation visibility into one investment view.
Executive decision contractcurrent
Operating answer
One board view
Store + acquisition + value
Next decision
Ship / learn
named owner + observation date
Evidence requiredSource · window · denominator · limitation
What changesOne ranked release backlog
What does notNo install farms · no invented proof
// Six discovery doors
People do not discover apps through one search box.
The app can be found through native store search, category and feature surfaces, paid routes, the open web, recommendation systems and direct brand demand. Each door has its own eligibility, relevance and conversion contract.
02
Browse + feature
Category, collection, event and merchandising eligibility.
- Editorial readiness
- In-app event system
- Quality and rating cues
03
Paid routes
Campaign promise carried into custom store pages.
- Apple Ads
- Google App campaigns
- Meta + intent routing
04
Web evidence
Product facts, category language and trusted sources.
- Capability pages
- Comparison evidence
- Authority sources
05
AI recommendations
Repeated observation of mentions, recommendations and citations.
- Prompt architecture
- Engine-specific sampling
- Source-gap remediation
06
Brand demand
The direct route created by memory, reputation and product use.
- Branded search
- Referral continuity
- Review and trust flywheel
// A commercial outcome ladder
Rank is useful. Value is the finish line.
Eligibility, retrieval, mention, recommendation, citation and attribution are not synonyms. Store movement, paid attribution and post-install value are also kept separate, then reconciled into one decision.
01
Eligible
The store, page or source can be accessed and understood.
02
Retrieved
It enters the result or answer-generation context.
03
Mentioned
The app name appears in the answer or shortlist.
04
Recommended
The app is explicitly proposed for the user's job.
05
Cited
A source supporting the app is visibly referenced.
06
Attributed
The path is reconciled to install, activation and value.
Discovery
Share
rank · visibility · observed answers
Decision
CVR
source × store × page × market
Product
D7 / D30
activation and retention cohorts
Business
Value
trial · purchase · revenue · profit
// Native store control
One app. Two stores. Different rules.
Apple and Google are never collapsed into a generic ‘ASO checklist.' Field behaviour, indexing inputs, creative context, custom routes, experiments and commercial reporting are designed independently, then governed through one backlog.
Apple App Store
Native field contract
Indexing inputsName · subtitle · keyword field · in-app events
Decision surfaceIcon · first three portrait frames · preview · rating
Intent routesCustom Product Pages · Apple Ads
Experiment layerProduct Page Optimisation
Commercial readProduct-page conversion · proceeds · retention
Google Play
Native field contract
Indexing inputsTitle · short description · full description
Decision surfaceIcon · feature graphic · screenshots · video · rating
Intent routesCustom Store Listings · deep links
Experiment layerStore Listing Experiments
Commercial readAcquisition · conversion · Android vitals · value
// Engagement architecture
Choose the operating depth the app can use.
Plans are priced by monthly download band, not seniority theatre. Scope, price, boundaries and ownership are published on every plan page before any pitch.
Showing
Foundation
₹99,999
/ month · Install the operating system
Under 100K monthly downloads. Both stores, one primary market.
- App Truth File and baseline audit
- Keyword master sheet, both stores
- One QA'd metadata release per store per month
- Quarterly AI Discovery + GEO panel
Explore Foundation →
GrowthMost chosen
₹1,99,999
/ month · Parallel workstreams, monthly GEO
100K–300K monthly downloads. Enough traffic for experiments to resolve.
- Continuous experiment queue, PPO + SLE
- Custom Product Page and Store Listing matrix
- Monthly prompt-panel waves and citation ledger
- Bi-weekly operating call
Explore Growth →
Brand
₹3,99,999
/ month · Prove what caused the movement
300K–1M monthly downloads. Multi-market, causal measurement, category authority.
- Native localisation and market-priority score
- Incrementality and cannibalisation testing
- Weekly prompt-panel waves across five surfaces
- Executive governance and RACI matrix
Explore Brand →
Scale
Get in touch
Portfolio and capability transfer
1M+ monthly downloads, multiple apps or regions. One central standard.
- Cross-app cannibalisation control
- Least-privilege access and incident procedure
- Consolidated Share of Recommendation
- Capability transfer from the ASO + GEO Blueprint
Explore Scale →
App Advertising
Need app advertising?
Paid acquisition is managed at 4% of spend, with media billed directly by platforms and no creative markup.
// Pause or scale with 30 days' notice// Content · creative · media are separate line items// No install farms
// App Store Essentials
Buy the missing outcome without buying a retainer.
Six productised one-time services. Each page states price, fit, exact output, turnaround, boundaries, value and the decision the artifact enables.
₹75,000
One-time diagnostic · Apple App Store + Google Play
ASO Diagnostic
Find the constraint before you fund the roadmap.
Turnaround10 business days
FitOne app · two stores · one primary market
View scope →
₹1,50,000
One-time AI recommendation baseline
AI Discovery Sprint
See when assistants understand, mention and recommend your app.
Turnaround15 business days
FitOne app · up to 40 prompt themes · one priority locale
View scope →
₹1,25,000
One-time conversion system
Store Creative Sprint
Turn the first five frames into a commercial argument.
Turnaround15–20 business days
FitOne app · Apple + Google · one locale
View scope →
₹1,50,000
One-time paid-to-store intent routing
Custom Store Page System
One campaign promise. One matching storefront.
Turnaround15–20 business days
FitUp to three intent routes · one app · one locale
View scope →
₹1,00,000
One-time web evidence system
App Content + Evidence Pack
Make the product legible beyond the store listing.
Turnaround15 business days
FitOne app · four priority evidence assets
View scope →
₹1,50,000
One-time market operating pack
Localisation + Market Entry
Translate the decision, not only the words.
Turnaround20 business days
FitOne app · one new market · Apple + Google
View scope →
// Impact preview
The mechanism matters more than a vanity metric.
Every case starts with the constraint, shows what changed, names the decision surface and keeps commercial movement inside an explicit evidence boundary.
6-month engagement
V
Hybrid-casual gaming·United States
Voltace: Turn gameplay into the store argument.
Paid acquisition found installs. The store page failed to explain why the game deserved a second session.
#4
category rank
19%
D7 retention
38.6K
organic / month
$1.10
blended CPI
Read the case →
8-month engagement
L
Personal finance·India
Ledgerly: Translate money jobs—not finance jargon.
The product was trustworthy. The language was not how people described the money job they needed done.
#7
finance rank
71.5K
organic / month
13.8%
trial to paid
29%
recommendation share
Read the case →
10-month engagement
D
Meditation + wellness·United States
Driftwell: Make capability evidence visible.
A beautiful brand was invisible for practical, high-intent needs: offline meditation, sleep support and anxiety routines.
#9
health rank
49.6K
organic / month
$1.35
blended CPI
34%
recommendation share
Read the case →
Client names and identifying details are withheld under NDA. Figures are drawn from the engagement's own analytics, measured on consistent endpoints.
// The first 90 days
Truth. Release. Experiment. Compound.
The work begins with source and decision contracts, not speculative recommendations. Every release has an owner, hypothesis, source, observation date and ship/iterate/stop rule.
Phase 01
Days 01–15
Establish truth
Connect sources, verify baselines, map discovery doors, define the commercial event and expose evidence limitations.
Phase 02
Days 16–30
Ship the first release
Publish the highest-confidence metadata, conversion, review or source-evidence intervention.
Phase 03
Days 31–60
Open experiments
Run store-native tests, custom routes and repeated recommendation observations with explicit decision rules.
Phase 04
Days 61–90
Compound learning
Read store movement, value cohorts and source outcomes; scale, iterate or stop each workstream.
// Tools of the trade
App Store Connect
store truth
Play Console
store truth
Google Ads
acquisition
Meta Ads
acquisition
FI
Firebase
events
RE
RevenueCat
subscription
FI
Figma
creative
BI
BigQuery
warehouse
LO
Looker
readout
MI
Mixpanel
product
OpenAI
observation
Perplexity
observation
// Questions CMOs ask
Clear answers before the proposal.
App growth is full of metrics that sound more certain than they are. We state the measurement and operating boundaries early.
QIs ASO still important when AI assistants recommend apps?+
Yes. Store eligibility, listing clarity, ratings, product evidence and public source quality remain important inputs into discovery. AI Discovery expands the surface area; it does not erase native store search or conversion.
QDo you guarantee rankings, recommendations or installs?+
No. We guarantee the operating scope, artifacts, evidence discipline and delivery cadence. Store algorithms, assistant outputs, competition, product quality and market conditions remain outside unilateral control.
QHow do subscriptions differ from one-time services?+
Subscriptions run a compounding backlog across releases and observations. One-time services produce a defined diagnostic or production outcome with a fixed scope and handoff.
QWho owns accounts, data and creative?+
The client. App Store Connect, Play Console, advertising accounts, dashboards, audiences, source files and approved artifacts remain client-owned.
QCan you manage acquisition without doing ASO?+
Yes, when the store and measurement foundation are strong enough. If paid traffic lands on a weak generic page or the event map cannot support a value read, those dependencies are exposed before scale.
QWhat does the free audit include?+
A tactical first read of the public store presence and the likely operating constraint. It is not a substitute for a paid diagnostic, but it should be useful before a commercial conversation.
// Ready to rank?
Get your free app audit.
Store URL, monthly install range and the one thing you'd fix first if you had a week. We reply with a tactical audit within 24 hours — no sales call attached.
// 24-hour turnaround// Senior reviewer// No obligation
30 seconds. No commitment.