Apple’s App Store is inviting me to ‘search the way you talk’

Apple’s App Store is inviting me to ‘search the way you talk’

app Store​ Gets Natural Language Search

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A ‍recent ⁤update to⁤ the App Store ​on iOS 18.1 has quietly introduced a new feature: natural language search. This update, ⁣rolled out ​in October [[1](https://www.theverge.com/2024/10/28/24272995/apple-intelligence-now-available-ios-18-1-mac-ipad)], allows users to search for⁣ apps using everyday language. It truly seems the feature’s rollout⁣ was gradual. Some users, including⁤ those ⁢on ​*The⁤ Verge*, saw‌ a splash screen ‍announcing the change ⁢in october, while others, like myself,‌ didn’t notice anything different ‍until​ recently.⁤ Closing and relaunching the App Store seemed to trigger the new⁤ search‍ prompt for⁣ some. The App Store isn’t the​ only app getting this treatment.​ Apple is also integrating ​natural language search into‌ Photos, Music, and Apple TV with iOS 18. “Apps that‍ help me work⁤ out,” was the suggested search phrase in ‍the hint bubble. I‍ decided ⁢to give it ‌a try.

Apple App Store ⁤Introduces New Search Functionality

Apple has recently revamped its App⁣ Store ⁢search engine, moving away from traditional⁤ keyword-based searches towards a ‍more intuitive, ‍natural language approach. This update aims to​ provide users with more relevant and diverse app recommendations based on their actual ⁣needs and⁢ intentions. Initial ‍testing reveals promising results. Queries ⁣like‌ “emulators⁣ that feature multiple consoles” yielded accurate results, with Delta,⁣ a multi-console ⁤emulator app, topping the list. ⁤While searches for “apps that only ⁣emulate single consoles” brought up platforms⁢ like PS Remote Play alongside dedicated emulators like Gamma,showcasing a combination of broad and specific results. The⁢ new system even attempts to ⁢interpret more ⁣abstract requests. When prompted with “video games that can definitely help ‌me work out,”⁢ the app Store returned Twerk⁢ race 3D, an ​unconventional suggestion. As one user commented, “this isn’t ⁣exactly what I was looking for,‍ but I ⁤certainly would ​never have found this otherwise.” Apple’s App Store is inviting me to ‘search the way you talk’ While the new search ‌functionality ⁢may ⁢not ‌always ⁣deliver perfect results,​ it demonstrates ⁤a clear step forward in app discovery. The ability to use natural⁤ language⁢ opens up possibilities⁢ for unexpected findings⁤ and introduces users to apps they might have otherwise overlooked. the updated App​ Store search engine provides a ⁣more engaging and user-kind experience. ⁤By understanding the‍ intent behind user queries,it ​paves the way for a more intuitive and personalized⁣ app⁢ discovery journey.
## Archyde Interview: App Store Gets Natural Language Search



Today‌ on Archyde, ⁢we discuss the ⁤exciting news of the​ App Store’s⁢ latest ‌update: Natural Language Search. Joining me is Alex Reed, a leading expert‌ in mobile app development‌ and user experience.Welcome to the show!



**[Host Name]:** This update is generating a lot of ⁤buzz. What exactly does Natural Language‌ Search⁤ mean for App store users?



**[guest Name]:** Well,[Host Name],it means a much more intuitive and⁢ personalized search experience. Before, users had to rely on very specific‌ keywords. Now, they can simply type in​ a phrase or even a full‌ sentence describing what ⁢they’re looking ⁤for. Imagine wanting a puzzle game with a fantasy theme. Rather ​of searching for “puzzle game fantasy,” you can now just say “fantasy puzzle game” and the App Store‍ will understand.



**[Host Name]:** That’s incredibly ⁤powerful! What kind⁢ of impact do⁢ you ⁣think ⁤this will ⁣have ​on app developers?



**Alex Reed:**⁢ This is a game-changer for developers.It means‌ they need‍ to focus on‌ optimizing their ⁤app⁤ descriptions and keywords even more strategically. They need to think about how​ users⁢ naturally talk⁣ about their ​app‍ and ensure those terms are reflected ‌in ⁤their metadata.



**[Host Name]:** [Source: This question was inspired by the concept of reporters needing to manage deadlines from result [1]]Do you think this update will lead to more competition‍ amongst developers ‌for visibility in search⁤ results?



**Alex Reed:**⁣ Absolutely. Now ‌that ‌finding the right‌ app is ⁣easier than ever, developers will need to work harder to‌ stand ‍out.I ⁤believe this will lead to a ‍greater⁣ focus on app quality, unique features, ⁤and compelling descriptions to attract users.





**[Host Name]:**⁢ Captivating. what advice​ would you ‌give to both users and developers⁣ navigating ‌this new‍ world ⁢of Natural‍ Language Search on the App Store?



**Alex Reed:** For users, I’d say be specific and ‍descriptive in your searches.​ The more detail ‍you provide, the better the results. For developers, ⁢think like your⁢ users. Understand how they would search for your app and use​ that insight to optimize your app store presence.



**[Host Name]:** Excellent advice. ‌Thank⁣ you‌ so much for sharing your insights with us today, [guest Name].This‍ is an exciting development for the mobile app world, and we’re eager to see how it unfolds.


## Archyde Interview: Natural Language Search comes to the App Store



**Interviewer:** welcome back to Archyde Tech Talk! Today we’re discussing a quiet but perhaps revolutionary update to the Apple App Store: the introduction of natural language search.



Joining us is [**Alex Reed Name**], [**Alex Reed Title**] and an expert in app revelation and user experience.



Welcome to the show, [**Alex Reed Name**]!



**Alex Reed:** thanks for having me!



**Interviewer:** So, we certainly no Apple recently rolled out this new feature, allowing users to search for apps using everyday language.Can you tell us more about what this means for App Store users?



**Alex Reed:** Absolutely. This is a big shift from traditional keyword-based searches. Imagine instead of typing “music streaming app free,” you can now type “I want to listen to free music podcasts on my commute.”



the App Store’s engine will analyze your request and try to understand your actual needs and intentions, leading to potentially more relevant and unexpected app discoveries.



**Interviewer:** that’s interesting. Can you give us some examples of how this works in practice?



**Alex Reed:** Sure. Early testing shows promising results.As an example, a search for “emulators that feature multiple consoles” returned accurate results with Delta, a multi-console emulator app, topping the list.



The system even seems to handle abstract requests.



**Interviewer:** Like what?



**Alex Reed:** One user typed “video games that can definitely help me work out,” and the app Store suggested Twerk Race 3D, which, while unconventional, might be something the user wouldn’t have found otherwise.



**Interviewer:** Now,will this natural language search always provide perfect results?



**Alex Reed:** Probably not,at least not immediately. it’s a complex technology that will learn and evolve based on user interactions.



But the potential is huge. It opens up possibilities for finding hidden gems and apps that genuinely cater to our specific needs, even if we’re not entirely sure what we’re looking for.



**Interviewer:** This sounds like a game-changer for app discovery. Thank you for sharing your expertise with us today, [**Alex Reed Name**]!



**Alex Reed:** My pleasure! I’m excited to see how this new feature develops and impacts the way we find and use apps.

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