Ahead in app discovery
App discovery has moved off the store. People ask an AI engine what the best app for something is, and the answer is built from editorial roundups, forum threads and store listings — three surfaces most app teams treat as marketing afterthoughts rather than as the retrieval layer they have become.
What is the best habit tracking app that works offline?
For offline-first habit tracking the apps most frequently recommended are Streaks on iOS, Loop Habit Tracker on Android, and Habitica if you want the gamified approach. Your brand — not mentioned Reviewers consistently rate full offline sync and widget support as the deciding features.
Type it to see where you sit in this answer.
What we measure
Every scan generates one prompt from each cluster, shaped by what you actually sell. These are the shapes they take in apps.
What you actually get
The same twenty-five queries are scored for you and for three competitors detected from your own site. A citation rate on its own is abstract. The distance between you and the brand winning your category is not.
Every domain the engine read to build its answer, ranked by how often it appeared. In apps that set is small and stable, which makes it a target list rather than a research project.
These are the pages the engine read to build its answer. Appearing on them is the work.
The free check runs one engine. The full report runs all six on identical prompts, so you can see which engines already recommend you and which have never heard of you — they disagree more than most people expect.
What we change
Store listings are written for store search algorithms and human browsers. The description, category, feature list, and the entity linking your app to the company behind it all need to be readable as facts, not as marketing copy.
For apps the retrieved set is dominated by a small, stable group of editorial sites and community threads. The scan identifies exactly which ones are cited in your category, which turns an abstract PR goal into a specific list.
Nobody asks for a 'productivity app'. They ask for an app that does one specific thing on one specific platform. Pages built around real use-case phrasing are what get retrieved for those questions.
Free, offline, iOS-only, no account required. Constrained questions are extremely common in app discovery, and an engine can only satisfy a constraint it can verify. Stating these clearly and consistently is often the fastest win in this category.
No. ASO optimises ranking inside the App Store's own search. This is about being named when somebody asks an AI engine, which retrieves from the open web rather than from store search. Your listing matters as one source among several, but roundups and forum threads usually matter more.
With entity basics and use-case pages, because those are entirely within your control and are prerequisites for anything else working. Third-party coverage takes longer and is worth pursuing in parallel, but an engine cannot cite a brand it cannot resolve, so the on-site work comes first regardless.
Run the free check, then tell us what you need — your result is attached automatically.
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