HOW APPTONOMY WORKS
Apptonomy runs four daily intelligence streams on every app: audit, competitor, AI and web, store. Recommendations from all four converge weekly into a single publishable revision plan you ship to iOS and Google Play in one click.
ASO is constant. So is Apptonomy.
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What it is and why it matters
ASO done well is a loop, not a project. The loop has three phases: Insights (what is the state of the listing right now), Actions (what should change next), Analysis (did the last change move the number). Run the loop continuously and ASO compounds; run it sporadically and the results follow the cadence.
Most ASO tooling stops at the Insights phase — a dashboard tells you what's happening and leaves the rest to you. The drift between Insights and Actions, between Actions and Analysis, is where hours and conversion both leak.
How Apptonomy addresses it
Apptonomy is built as one continuous loop. The buyer's mental model — Insights → Actions → Analysis — and the product mechanism — four daily intelligence streams → Weekly Revision Plan → one-click publish → Score History — are the same loop sliced two different ways.
Four daily streams produce signals. The Weekly Revision Plan is where those signals converge into a single publishable artifact per app, per week. One click ships the approved rows to iOS and Google Play. Score History attribution ties each shipped recommendation to the install and conversion-rate movement that followed — and the loop continues into next week.
Every layer is engineered to keep the loop running without burning your time. The methodology underneath every stream is updated weekly by an in-house senior ASO expert, so what runs today reflects the current state of Apple, Google, and the LLM landscape — not last quarter's playbook.
In detail
Four moments tell the whole story. Each runs continuously on every app you connect; together they close the loop.
Four streams running every day: Daily Audit (ten engines re-score your listing), Daily Competitor Intel (the real competitors monitored), Daily AI & Web Intel (share-of-voice across LLMs + Reddit + open web), Daily Store Intel (ASC + Play Console ingestion).
Signals from all four streams converge into one publishable artifact per app, per week. Recommendations ranked by impact, with plain-language reasoning and source-signal attribution. Approve, edit, or decline per row.
From inside the Weekly Revision Plan: one click publishes the approved changes to iOS and Google Play. Both stores. No copy-paste, no console hunting. The drift between insight and action — closed.
After publish, the daily streams keep running. Score History ties each shipped recommendation to the install and conversion-rate movement that followed — measured on your own ASC and Play Console data. The loop continues.
One loop. Four moments. Running continuously on every app you connect.
Customer example
An indie publisher with six apps wires them all into a single Apptonomy portfolio on Tuesday. By Friday morning, six Weekly Revision Plans are waiting — one per app, each with the four daily streams' findings converged into ranked recommendations. Forty minutes of review + six publish clicks later, every app in the portfolio has the week's ASO changes live in both stores. The loop is now running.
Illustrative scenario. Real customer-app outcomes are documented in case studies (forthcoming).
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