METHODOLOGY · HUMAN-AUTHORED
Senior-ASO best practices, baked into every engine.
ASO best practices change as Apple, Google, and the LLM discovery landscape evolve. The methodology underneath every engine is authored and reviewed by an in-house senior ASO expert, and published per engine so you can read it before you buy.
ASO is constant. So is Apptonomy.
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What it is and why it matters
ASO best practices change as Apple and Google ship algorithm updates, as the LLM discovery landscape evolves, and as patterns emerge across the market. Working from last quarter's playbook means working from outdated knowledge.
Most ASO tooling encodes a fixed methodology at build time and never publishes it, so you cannot tell what changed or whether anything did. The tool you bought two years ago to give you an edge may be a year behind, and there is no way to check.
How Apptonomy addresses it
ASO best practices are baked into every engine and reviewed by an in-house senior ASO expert. Each engine has a human-authored methodology and a public methodology page — the framework is a matter of record, not a promise.
Per-engine methodology pages are public and documented. Every recommendation includes plain-language reasoning. AI is the runtime — it scales the methodology across every app and every market on a daily schedule — but the methodology is the product. A prompt wrapper has no methodology to publish.
The platform itself is the proof. Connect your app, run the free audit, and what you see is the output of the documented methodology, applied to your app. Verification paths — the per-engine methodology pages, the DIY-frontier-LLMs comparison, the "too good to be true?" URL paste — let any prospect test the claim directly without taking our word for it.
Customer example
A senior practitioner revises the Store Text engine's subtitle framework after a run of category listings shows the old convention underperforming. The change lands in that engine's published methodology, and every audit produced after that point runs against the revised framework — visible on the public methodology page, not buried in a prompt file.
Illustrative scenario. Real customer-app outcomes are documented in case studies (forthcoming).
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