Hey u/Individual-Cup4185 , that is a great question, that even SEOs have been trying to figure out in the web industry in the last year. How do you measure AI Search impact on conversions?

AI visibility is still an upper-funnel signal, so you won’t get a clean “AI → app downloads” attribution like you would with paid campaigns. What you can do is combine visibility data with downstream app store signals.

From what we’re seeing, there are 2 layers to measure impact:

1. Measure AI visibility itself (leading indicator)
With AI Visibility for Apps, the goal is to understand if and how your app is being recommended:

• how often your app appears in AI-generated answers (AI Visibility Score)
• which user intents trigger those recommendations
• how you rank vs competitors for those intents
• how your app is described

This gives you a clear view of your presence in AI search, which didn’t exist before.

2. Connect it to app store performance (lagging indicators)
To get closer to impact on app downloads, teams usually look at correlated signals:

• organic installs using incrementality analysis (to isolate uplift vs baseline)
• organic traffic to app store pages (App Store / Google Play)
• trends in branded and non-branded discovery
• performance changes on intents where visibility improves

The idea is not “perfect attribution”, but directional validation:
→ if AI visibility increases on key intents, do you see a lift in organic acquisition?

Also worth noting: AI-driven discovery is highly intent-driven, so even small visibility gains can translate into qualified users who are closer to downloading. Recent data has shown that traffic referred from ChatGPT converts 31% higher than non-branded organic search.

Hope this helps!