What it does
Deepsearch is an AI-powered search application designed to gather and consolidate public information about people. Users can input a name, and the app scours various online sources to build a profile, including social media accounts, photos, and professional details. It aims to provide a comprehensive digital snapshot of an individual in one place.
Where it shines
The app shines in its clear and focused user interface. The main search screen (00:36) is clean, offering popular celebrity searches as examples to immediately demonstrate its use case. When a search is performed, the results page for Taylor Swift (00:43) is well-organized, categorizing information into photos, sources, and an AI-generated answer. The visual feedback during a search, like the animated globe at 01:43, adds a layer of polish and makes the process of data gathering feel substantial.
UX highlights
- Pre-populated suggestions: The home screen uses popular celebrity queries (00:38) to guide new users and instantly show the app's functionality without requiring them to think of a search term.
- Organized results: Search results are neatly broken down into sections for Photos, Sources, and an 'Answer' (00:48), making complex information easy to digest.
- Clear content gating: The app uses a 'Pro' badge on premium sources (00:49), clearly communicating which content requires a subscription before the user even taps.
- Follow-up questions: Below the main AI answer, the app provides related questions (01:00), creating a conversational path for deeper discovery and encouraging further engagement.
- In-app browser: Tapping a free source like Wikipedia (00:50) opens the link within the app, keeping the user within the ecosystem instead of pushing them out to a separate browser.
- Visual search indicator: The globe animation during a deep search (01:43) provides engaging visual feedback that a complex process is happening behind the scenes, potentially increasing the perceived value of the results.
Monetization & growth
The app employs an aggressive and persistent monetization strategy. A paywall is presented at the end of the very brief onboarding at 00:28. From that point on, nearly every valuable action, such as accessing 'Pro' sources (00:54), asking follow-up questions (01:08), or even trying a new search (01:47), triggers the same paywall. The plans offered include a weekly and a yearly option, with significant discounts highlighted to encourage longer-term commitment. There is no free trial; access to deep features is immediately gated.
Who it’s for
Deepsearch is for users who need to quickly gather public information about someone, whether for professional or personal reasons. This could include researchers, journalists, people vetting online connections, or simply curious individuals. The focus on social media and professional details suggests a target audience interested in understanding an individual's digital footprint and online presence.
Notes & opportunities
While the persistent paywall is a clear monetization strategy, it can create significant friction. For instance, the user is blocked from seeing more sources at 00:55, then blocked from asking a related question at 01:08, and blocked again when trying to search a new name at 01:47. This repeated interruption could lead to user frustration and abandonment. A potential opportunity could be to offer a limited number of free 'pro' actions or a single free deep search to more tangibly demonstrate the premium value before requiring a subscription.