WWDC 2026 recap: what’s changing for ASO teams

We believe the App Store announcements at WWDC 2026 all point the same way: more of app discovery is being handed to AI, systems that recommend apps based on app usage and downloads, as well as other App Store information and assistants that surface them on request, often before a user searches at all. It’s a shift that we see has been building for a while, and this year Apple’s announcements made it more concrete.

Three WWDC 2026 announcements are highly relevant for ASO practitioners. Personalized Collections recommend apps to users with no search involved. And Creative Assets change what users see once they find you, freed from the app release cycle. Each rewards different work, and none of it replaces ranking, it raises the stakes on being clear about what your app is and does. Below, we cover these updates and how teams can react.

Key takeaways

Personalized Collections: the App Store starts recommending, not just ranking

Apple is introducing Personalized Collections, groups of recommended apps that appear across the Apps, Games, and Search tabs based on each user’s interests, app usage, and downloads.

Each recommendation carries an App Note, a short explanation shown to the user of why that app was suggested, which signals to AppTweak how far Apple is leaning into recommendation as a discovery mode. The collections will evolve over time. These features started rolling out this week in English in the U.S., with more regions and languages to follow.

This adds a recommendation layer on top of search, not in place of it. Keyword search and top charts still drive discovery; what’s new is an additional surface that can reach users based on app usage and downloads, as well as other App Store information before they’ve searched for anything. The App Store can surface your app because a user’s interests and usage mark it as a relevant match, which widens where discovery can happen rather than changing what already works.

It’s a notable signal of where we believe Apple is taking discovery: alongside the editorial collections curated by its team, the store now has a scaled, algorithmic way to surface apps to the users most likely to want them.

What this means for ASO practitioners

Apple hasn’t published a ranking framework for Personalized Collections. What you can do is ensure your app clearly communicates what it does and who it’s for, so any AI-driven system can understand it.

The fundamentals haven’t changed: category fit, metadata precision, keyword relevance, and engagement quality after install are still the levers ASO teams work with. What’s shifting is how those signals get interpreted. As we detailed in our blog How AI is changing relevance in app store search, discovery is moving from exact keyword matching toward semantic interpretation, where metadata, creatives, and reviews are read together as connected signals of what an app is for. Apple has been open about this direction: at WWDC 2025, it introduced AI-generated App Store Tags powered by its own large language models, built from app metadata.

The less ambiguous your app and the clearer its use cases, the easier these systems can understand and surface it, across App Store search and AI engines like ChatGPT, which is what our AI visibility playbook is built to help you optimize for. Personalized Collections run on the same kind of intelligence, so it’s reasonable to expect clarity helps there too, even if Apple hasn’t confirmed what drives placement.

Creative Assets: a new surface to win, and a faster way to manage it

Developers can now use Creative Assets, rich images and videos that appear in the product page header and in search results, separately from standard screenshots and app previews. These assets can highlight a brand, promote seasonal content, or showcase new features, and they work across the main product page, custom product pages, and Product Page Optimization tests.

What makes Creative Assets more than a visual refresh is where they appear, when you can change them, and how you manage them across surfaces.

1. Placement

Creative Assets can be selected to appear in organic keyword search results. For the first time, video and images can show up in search, not just static screenshots. The visual a user sees when they search a relevant term can be tailored to that context rather than defaulting to whatever Apple pulls from your existing screenshots. That is a new conversion variable directly inside the search results page.

2. Timing

Until now, updating your main product page’s creative meant bundling it into an app version submission, so a simple screenshot swap could be stuck waiting on an engineering release. The Asset Library breaks that dependency: you submit creative on its own, get it approved, and push it live when you choose. Seasonal campaigns, fast iteration on Product Page Optimization results, and Apple Ads coordination no longer have to wait for your next app update.

3. Management

The Asset Library centralizes your creative assets, app previews, and screenshots in App Store Connect, with assets reusable across custom product pages and In-App Events. For teams managing multiple custom product pages, that removes real operational overhead. And because Creative Assets work across both organic placements and Apple Ads from the same library, the boundary between ASO and Apple Ads creative strategy continues to narrow.

What this means for ASO practitioners

The most immediate opportunity is alignment: does the asset a user sees in search results match the intent behind the keyword that surfaced your app? A user searching for a productivity tool and a user searching for a collaboration app may land on the same product page, but they are not the same user. Creative Assets give you a way to begin to address that gap, and it’s worth testing deliberately rather than setting once and forgetting.Since Creative Assets, including the header, can be tested in Product Page Optimization, that’s another element worth adding to your test queue.

App Intents is now how Siri finds your app

App Intents is now the only framework that connects your app to the new Siri. Apple gave the older SiriKit framework a formal deprecation notice at WWDC. Apps still on SiriKit keep running, but they won’t surface when users invoke the new Siri at all.

App Intents lets your app declare its actions so Siri can trigger them directly, without the user opening the app, and chain them across other apps in a single request. Ask Siri to add a photo to an album, pull a date from a screenshot into your calendar, or run a multi-step task, and the apps that have declared those actions are the ones it reaches. The ones that haven’t are invisible to it.

This is a different kind of discovery than Personalized Collections. Personalized Collections push your app to users based on app usage and downloads, as well as other App Store information . Siri works the other way: it reaches your app when someone asks for something your app can do. You earn that placement by declaring your actions clearly.

What this means for ASO practitioners

Because Siri can now perform specific tasks from inside your app, like starting a workout or adding an item to a list, you choose which to make available to it. That’s a positioning decision, not a default setting: weigh the tasks worth being reachable by voice against the experiences that genuinely need the user inside your app.

Start by auditing whether your app still runs on SiriKit, then plan the App Intents migration. One caveat for EU teams: Siri AI is delayed in the European Union on iOS 27 and iPadOS 27, with Apple citing the Digital Markets Act, and EU developers can’t test it during development. The deprecation clock on SiriKit runs regardless, so the App Intents migration is still worth starting now, even if EU teams can’t yet see it working in Siri.

Time Allowances add a category-level cap in some verticals

Apple’s Screen Time overhaul introduces Time Allowances, which let parents set limits for entire app categories rather than managing apps one at a time. Categories including Entertainment, Games, and Social Media can each get their own allowance, with separate weekday and weekend limits. A companion feature, Schedules, lets parents control which categories are available at different times of day, such as during school hours.

This isn’t an ASO mechanic, but it’s a real consideration for teams in those verticals. Apps in Social, Entertainment, and Games face a new category-level limit on time spent by users under parental controls, worth factoring into retention and engagement planning even though it doesn’t change how you optimize a listing.

For gaming apps: a new way to pitch Apple’s editors

Featuring Nominations let games developers propose an in-game offer or limited-time discount to Apple’s editorial team for promotion on the Apple Games app. It won’t change how your game ranks, but it’s a direct line to editorial featuring that we see most teams don’t currently use, worth building into your live-ops calendar around launches, seasonal events, or major content drops.

Conclusion

App discovery has been moving beyond the search bar all year, toward systems that recommend apps based on usage and interests and surface them before anyone types a query. WWDC 2026 didn’t start that shift but it does confirm it. Personalized Collections recommend your app to users based on app usage and downloads, as well as other App Store information so what matters is how clearly your app communicates what it does and who it’s for. Siri reaches your app when someone asks for something it can do, so what matters is declaring those actions through App Intents. Creative Assets sit across both, giving you more control over what users see and letting you change it without waiting on an app update.

The ASO fundamentals still matter. Keyword optimization, metadata quality, category fit, and creative testing remain the foundation, and nothing here replaces ranking, search, or conversion. But “still matter” isn’t the headline.

Discovery is expanding faster than the playbook most teams are running, and each new surface rewards work the old playbook doesn’t cover: recommendation systems that read your positioning, assistants that act on your declared capabilities, and more. The teams that treat this as one vague “AI discovery” bucket will optimize for the wrong thing. The ones that learn how each surface works, and build the visibility to see where they actually show up, will be the ones that stay discoverable as the year goes on.

FAQs