ASOpatents.com compiles a list of patents that are likely used to shape the algorithms of the Apple App Store, Google Play Store, and other major platforms. While it's uncertain whether these patents are actually implemented in the algorithms, the site provides insights into potential clues about search results, recommended apps, and other data points.

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How App Store A/B Testing Actually Works

How product page testing works end to end: how users are assigned to a version, how the reported numbers are formed, what Apple already documents, and the engagement metrics the platform collects for every variant but never shows you.

19 September 2026 · Sources: US20230176843A1, US12332765B2

How “You Might Also Like” Actually Works

The shelf at the bottom of a product page is part advertising and part recommendation model. How the two halves are produced, why Apple has two different definitions of a similar app, and why category has nothing to do with it.

19 September 2026 · Sources: Apple Ads help, US12314272B2, US10394838B2

How Peer Group Benchmarks Actually Work

Why every benchmark number is deliberately blurred, how much blurring depends on the size of your peer group, why you cannot see where you sit inside a percentile band, and the metric Apple compares across peers but has never shown you.

19 September 2026 · Sources: App Store Connect help, US12430660B2, US12561221B2

App Store Ranking Factors: What Apple’s Patents Actually Say

A ranking factor list built only from what Apple’s search patents state, each factor quoted and sourced. Includes the one published scoring formula, the signals nobody talks about, and the ten commonly claimed factors that no patent mentions.

19 September 2026 · Sources: eleven Apple patents read in full