Today we’re adding measurement to an area that, until now, had no data: mobile app visibility inside AI-generated answers from LLMs.
Say hi to “AI Search for Mobile Apps”
We are happy to announce that LLM Pulse now tracks app brand mentions, share of voice, and citations of website + App Store and Google Play direct links across ChatGPT, Perplexity, Google AI Mode, and AI Overviews. This dataset didn’t exist before. It helps teams understand how LLMs drive discovery, recommendations, and user decisions. This feature is available starting from the Growth plan and above.
We also analyze brand reputation in every response we process, giving you a clearer view of how each model perceives and frames your product.
This new layer connects SEO, GEO (AI Search), and ASO in a single analytical framework. SEO covers classic web visibility. ASO remains essential for visibility + performance + reputation inside App Store and Google Play. GEO adds how LLMs interpret each brand, respond to transactional queries, and reference, among others, official store links.
The combination of these three areas gives teams a complete view of the discovery cycle: web, app stores, and generative engines. Until now, each channel was measured separately. Starting today, you can finally see how they relate and evolve together, because all three are deeply connected.
For brand, marketing, growth, and product teams, this unlocks more precise analysis. You can detect when your app begins to appear in relevant prompts. You can benchmark your share of presence against competitors. And you can verify whether LLMs are recommending the correct App Store and Google Play URLs.
This is a natural step in the evolution of digital visibility. And it provides a solid foundation for understanding how LLMs impact app discovery. That’s what we’re introducing today with LLM Pulse.
And, remember:
– Do not try and bend the spoon. That’s impossible. Instead… only try to realize the truth.
– What truth?
– There is no spoon.
