Physical Address
304 North Cardinal St.
Dorchester Center, MA 02124
Physical Address
304 North Cardinal St.
Dorchester Center, MA 02124
Apple will start using AI technology to feed the discovery of applications on the App Store, the company announced at the world conference of this week’s developers (WWDC 25).
In a session focused on updates to the App Store Connect, its application distribution platform for developers, the company has announced that it would introduce the App Store tags – labels that highlight the specific features and features found in an application.
These tags will initially be generated by the large Apple language models using various sources, such as the metadata of the application. They will then be assessed by humans before being applied to applications on the App Store.
Apple customers will be able to use these tags when searching for applications on the App Store, where the beacons appear alongside the research page categories and the applications that appear in the search results.
Apple says that new tags will help the surface information that is often buried in the application lists, such as the description of the application app store, category, metadata or even in its screenshots. The beacons, according to Apple, will help users to find more easily the applications that offer the features they are looking for, while offering developers a better idea of how their applications are discovered.
Today, consumers have applications via a certain number of features from the App Store, including its editorial parts on the TODAY tab, the collections organized by the editorial team of the App Store, by browsing the categories of applications or using the search for App Store. Apple also monetizes the App Store with announcements that may appear in the Today tab, the search tab, on product pages and its search results.
When App Store users press one of the new tags, they will be taken to a new page offering an organized collection of all applications and games that offer similar features or features – an extension of the existing functionality of the App Store which points to users of the applications they “could also like”, found at the bottom of the individual lists.
Although the tags themselves are generated and examined by AI, the developers will finally have the last word on which the beacons are associated with their applications. A new information page will be available in the App Store Connect software, where they can manage tags or deselect those they do not wish to appear on the product page of their application.
Apple already uses AI on its App Store to summarize the reviews of an application by combining information in a short paragraph.
Tags are not the only improvements to come on the App Store. Apple says that developers will also be able to create personalized product pages that appear when a user is looking for applications using particular keywords. It also improves its “nutrition labels” functionality; Expand its range of application age ranges (there are now five); And extend supply codes to consumables, non-consummables and non-renewable subscriptions.