AI on its own guesses.
A frontier model has no ASO method, no live store data and no memory of what moved your installs.
See the comparison →The platform
Expert ASO run on all of your apps, every day, automatically so you earn more installs for less money.
Daily expert audit · Competitor monitoring · AI/LLM discoverability · Automated localisation · Store analytics · Integrated publishing · Review sentiment · AI content generation.
100+ expert ASO checks, written by a 12-year practitioner and updated weekly; ten engines run them on every audit.
App Store, Google Play, and whether ChatGPT, Claude, Gemini and Perplexity recommend the app.
Every revision is scored by the next audit and by the conversion data from your App Store Connect and Google Play Console.
Easy to set up, easy to use
Five steps. The first takes a minute; the rest run on their own.
Paste a store link, or connect App Store Connect and Google Play Console.
Ten engines score the listing against its rivals, every day.
One Weekly Revision Plan, reasoning attached. You approve it.
One click to both stores.
Your store analytics show what each change moved, and feed the next audit.
Expert ASO, automated
The Apptonomy audit is the heart of the system — it runs ten expert-crafted ASO engines on your listing and all of your competitors to keep your recommendations fresh and your app on top.
Which terms your listing ranks for, and which it should.
Whether ChatGPT, Claude, Gemini and Perplexity recommend your app.
What people are trying to do when they search, and whether your listing answers it.
Your rivals' listings, and every change they make.
Title, subtitle, description and keyword field, scored line by line.
Whether each screenshot earns the install.
Whether the icon reads and converts at store size.
What reviews praise, what they complain about, and what to change.
How the listing performs in every market it is in.
Store-policy problems, caught before Apple and Google do.
Cross-checks all ten engines against each other and across several AI models, drops what they disagree on, and delivers one ASO readiness score and a ranked, reasoned action list.
The UI
Three screens you'll use every week: what the audit found, the plan you approve, and KPI monitoring.
21 data sources, constantly updated
Every audit pulls live data from the app stores, the AI surfaces your customers ask, and the web and ad signals behind them.
Human ASO expertise, on rails
Apptonomy embodies many years of ASO experience and up-to-the-minute trend awareness to deliver actionable, high-impact insights and recommendations for your apps daily.
A frontier model has no ASO method, no live store data and no memory of what moved your installs.
See the comparison →Nobody can re-audit every app, in every market, against every competitor, every day.
A practitioner’s method, run by machines daily, with the work shown under every score and recommendation.
Read the methodology →Connected store metrics stay scoped to your account and are not pooled into cross-customer benchmarks. Store credentials receive application-level encryption, and every publish requires an authorized project member.
Practitioner results
Hours of research done in minutes & recommendations that deliver results
“We started from nothing on ASO. Apptonomy has been crucial for our organic growth and our product launches.”
Rodrigo MonzónGrowth Lead, Pickem“With Apptonomy, I was able to identify weak spots that would have taken me hours, sometimes even several iterations to identify.”
Marina RoglicASO Expert“Apptonomy takes the research and analysis that used to eat 5 to 6 hours a week and turns it into something I can act on in minutes.”
Georgy NatsvlishviliASO & Mobile Growth Specialist“Apptonomy collects and structures the context I need: competitors, patterns, what changed. Hours of manual research turn into a few minutes.”
Vladyslav ShatokhaGrowth Partner for Mobile Apps“The client was impressed by Apptonomy’s AI discoverability insights. It quickly surfaced high-impact opportunities to improve App Store visibility.”
Natalia BeckerMobile App Growth“Apptonomy gave me a prioritised list of what to fix and why. After the description and screenshot changes, my app’s iOS conversion improved by 8.56%.”
Arturo MéndezSr ASO & Growth LeadGet started with monthly ASO audits — no credit card required
For indie devs getting serious about ASO
$49/mo
30-day money-back guaranteeFor small teams publishing across multiple stores
$149/mo
30-day money-back guaranteeFor agencies with large, multilingual portfolios
$399/mo
30-day money-back guaranteeFlexible, custom solutions — contact sales
Custom
Tailored pricing
Yes. The methodology is the product; AI is the runtime that makes it scale. Each audit runs expert-crafted prompts cross-validated across multiple frontier models — when models disagree, the consistency check filters the recommendation out. The per-engine methodology pages are public, and the DIY-LLMs comparison page lets you run the same prompts against ChatGPT and Claude on your own app to see the architectural gap with your own eyes.
Apptonomy's methodology is authored and maintained in-house by a senior ASO expert, and updated weekly. Each engine has its own published methodology page, so what the framework says today is something you can read rather than take on trust. Release Notes are the log of what actually shipped.
No. Apptonomy is additive, not forklift. Many teams run Apptonomy alongside an existing keyword tracker or rank monitor and use Apptonomy for the daily expert audit, the Weekly Revision Plan, and the one-click publish. The free tier is the lowest-risk way to evaluate it next to what you already use.
Live store listings (App Store + Google Play), Google Ads keyword volume calibrated against Apple Ads search popularity, App Store Connect + Play Console analytics (when connected), direct queries to ChatGPT / Claude / Gemini / Perplexity / Google AI Overviews, Reddit and open-web probing for AI-discovery signal, and review APIs for sentiment. Language models name the search intents and write the assistant questions from that data.
Yes. Every engine has a public methodology page. Plain-language reasoning accompanies every recommendation in product. And the free audit on your own URL is the honest test — five minutes, no account, the output is the methodology applied to your app.
The audit runs ten specialized engines daily: Keywords & Clusters, AI Discoverability, User Intent, Competitors, Store Text, Screenshots, Icon, User Sentiment, Localization Analysis, and Policy Checker, scoring your listing across four pillars: Discoverability, Conversion, Retention, and Trust. Recommendations from all four daily streams (audit, competitor, AI/web, store intel) converge into one Weekly Revision Plan per app.
Yes. One-click publish to iOS and Google Play from inside the Weekly Revision Plan. Both stores, no copy-paste, no console hunting. The verified competitor scan shows no other AI-native ASO platform offers equivalent one-click publishing to both stores.
We publish our methodology per engine, ship continuously, and operate as a real engineering company — multi-frontier-model architecture, named co-founders with senior ASO and platform-engineering pedigrees, public roadmap with stage markers (not vague "coming soon" tags). See /about for the team, /release-notes for the log of what shipped, and /roadmap for the trajectory.
Yes. Multi-app projects organized into portfolios. Same effort for 5 apps or 50. The four daily intelligence streams run on every app in the portfolio simultaneously; each app gets its own Weekly Revision Plan, each publishes independently. Each plan sets how many apps and markets it covers; add apps with an Extra Project Slot.
Localization Analysis runs across 22 inspected languages today, with per-market scoring that rolls up into one portfolio view. Full Localize across 87 languages and 170+ markets is on the roadmap. Each plan sets how many markets it covers.
Every recommendation is reviewed in the Weekly Revision Plan before it ships. Approve, edit, or decline per row. Plain-language reasoning per recommendation lets you understand the why before adjusting tone or copy. Nothing publishes without your explicit approval.
Yes. Free tier (€0, no credit card required) for the first audit. Paid tiers start at Basic €49/mo, with a 30-day money-back guarantee on every paid plan. Pro (€149) is the wedge tier; Elite (€399) is the agency tier; Enterprise is custom.
We read the public store listing for any app you submit. Connecting a store account is optional and unlocks additional signals — search terms and console analytics — which we use only to produce your audits. Connected-store data is kept separate from your account identity, from the usage analytics we collect on this website, and from payment data (handled by Stripe). Audit results are private to your account by default; PDF exports and shareable links are opt-in per audit.
Included in every plan, including Free. AI and web monitoring (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Reddit, open web) ships as one of the four daily streams on every audit. We do not gate AI as a separate enterprise product the way some competitors do.
The methodology + the Weekly Revision Plan convergence + the one-click publish action. Most ASO tools surface data and leave the rest to you; Apptonomy converges signals across four daily streams into one publishable artifact per app per week, and publishes it to both stores in one click. See /vs/apptweak for a head-to-head comparison.
Private connected-account metrics stay scoped to your account and are not pooled into cross-customer benchmarks. Store credentials are encrypted before upload and application-encrypted for persistence. Store publishing requires an authorized project member, and access can be revoked from the store console. See our Security page for current processors, controls, and SOC 2 status.
Get started
Free to start, no credit card required.