Apple is set to revolutionize App Store discoverability with new AI-driven tagging techniques now available in the developer beta build of iOS 26. Although these tags aren’t visible in the public App Store yet, nor are they impacting the current search algorithm, they’re stirring excitement and speculation.
Industry insiders are keenly observing these changes, discussing their potential influence on app search rankings. According to a recent analysis by app intelligence provider, Appfigures, apps might soon see an impact from the metadata embedded in their screenshots. Previously, only the app’s name, subtitle, and keyword list played a role in search rankings.
Apple clarified during its Worldwide Developer Conference (WWDC 25) that AI, rather than OCR techniques, is being used to extract valuable information from screenshots and other metadata. This helps enhance an app’s visibility without developers needing to clutter screenshots with keywords.
The AI assigns tags to categorize apps more accurately. Developers will have a say in which AI-assigned tags associate with their apps, ensuring a customized and controlled approach to discoverability. Apple further ensures that these tags undergo human review before being activated.
As these developments progress, understanding and leveraging AI-assigned tags will become crucial for developers aiming to reach global App Store audiences. Apple’s innovative approach promises to streamline and enhance the way users discover apps, ushering in a new era of app marketing and visibility.
