ASO is not disappearing. The App Store is still the transaction surface. What changes is the discovery path before users arrive there.
A user may hear about an app from Google, Reddit, YouTube, ChatGPT, a comparison page, a newsletter, or a friend before they ever search the App Store. But when they arrive, the App Store page still has to rank, explain, and convert.
Metadata still matters
Title, subtitle, keyword field, screenshots, reviews, pricing, and conversion remain core App Store surfaces. AI search does not remove the need to win the store page.
The practical ASO work stays familiar: choose keywords carefully, inspect competitors, localize where the market is reachable, improve screenshots, measure conversion, and watch rank history. AI search adds another discovery layer; it does not replace the store funnel.
Public context matters more
Websites, docs, comparison pages, reviews, changelogs, and clear positioning can help AI systems understand what the app does and when it should be recommended.
This favors apps that explain their work in public. A useful pricing page, a real docs page, a thoughtful comparison page, and specific blog posts can do more than a polished but vague landing page.
The winning habit is consistency
The app should tell the same story everywhere: App Store metadata, screenshots, website, support docs, product updates, and founder content.
Founders should build a knowledge surface
A knowledge surface is the collection of pages that explain your product honestly: what it does, who it helps, what data it uses, what it costs, how it compares, and where it has limits. That helps users and gives recommendation systems fewer reasons to misunderstand you.
The near-term workflow
Keep doing ASO, but connect it to content. When you target a keyword cluster, make sure the App Store page, screenshots, website page, and supporting article all explain the same intent. That is the future-proof version of ASO: clear search intent, clear product proof, clear public context.