AI-driven app discovery is creating an attribution blind spot (summary)

A summary of Branch’s AIO App Attribution announcement and what it implies for ASO/SEO as ChatGPT-style discovery grows.


Original article (source): Branch — “Introducing AIO App Attribution: Measurement for AI-Driven App Discovery”

This post is a summary with attribution + a backlink.


The problem Branch highlights

As users discover apps via AI assistants (ChatGPT, Claude, Perplexity, Gemini, etc.), referral traffic can show up as:

  • direct
  • generic organic
  • unattributed

That makes it hard to measure which AI sources drive app discovery and whether “AI optimization” efforts are working.

What Branch is launching (conceptually)

Branch positions “AIO App Attribution” as an extension of its SEO App Attribution to help teams:

  • attribute AI-driven installs and downstream events
  • break out AI as a distinct organic channel
  • pair attribution with deep linking for smoother conversion

Branch says if you already use their SEO App Attribution, AIO is auto-enabled.

Why this matters for ASO

ASO is no longer only “in-store.” Discovery is fragmenting:

  • app stores
  • web search
  • AI assistants / AI overviews

Teams that can measure new discovery sources can invest faster (and stop guessing).


Read the original: https://www.branch.io/resources/blog/introducing-aio-attribution-measurement-for-ai-driven-app-discovery/

Editor: App Store Marketing Editorial Team

Insights informed by practitioner experience and data from ConsultMyApp and APPlyzer.

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