The new signs created from artificial intelligence

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Apple plans to improve the discovery of the application store Using AI’s mark mode techniques It is now available at Beta Build of Developer from iOS 26.

However, the signs do not appear in the public application store yet, nor do they teach the application store search in the public store.

Image credits:App Store screen shot (Beta 1, iOS 26)

Of course, with any updated update for the application store, there is speculation about how changes affect the application of the app search.

new analysisSHe is By App Intelligence Provisors, for example, metadata suggests from the application clips that affect their classification.

The company organized that Apple was extracting the text from the illustrations of the screen shots. Previously, the application name only, the return, and the keyword menu will count on the search classification, he said.

The conclusion that the screenshots report the discovery of applications, based on what Apple announced at the Global Developer Conference (WWDC 25), but the way Apple extracts those data that involves AI, not optical recognition techniques on letters, as Appigors has gone off.

At the annual developer conference, Apple explained that screenshots and other descriptive data will be used to help improve the discovery of the application. The company said it is so Using artificial intelligence techniques to extract information For example, this will be buried in the application description, its class information, its shots, or other identification data, for example. This also means that developers should not need to add major words to screenshots or take other steps to influence the signs.

This allows Apple to set a sign to better classify the application. The company said that the developers will eventually be able to control any of these AI’s signs that will be linked to their applications.

In addition, Apple confirmed developers that humans will review the signs before they live.

Over time, it will be important for developers to better understand the signs and which of them will help discover their application, when the signs reach the users of the global application store.



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