Health & Fitness
Health apps get recommended, not just searched.
Users ask assistants what to install for anxiety, sleep, macros, and offline meditation. If your metadata doesn't teach the machine what your app is for, someone else's does.
01
install intent
The prompts your users are typing, into the search box, and into assistants.
- "meditation app that works offline"
- "anxiety app without subscription"
- "macro tracker no ads"
- "sleep app for shift workers"
02
the motion
- 01AI Discovery Model (M-07): baseline and grow Share of Recommendation quarterly.
- 02Capability-clear metadata rewrites machines can lift verbatim.
- 03Review-theme engineering to elevate the capabilities users ask machines about.
- 04Third-party listicle + press outreach targeting the sources assistants cite.
other verticals
Fintech
Fintech apps live and die on trust keywords.
E-commerce
E-commerce apps compound the long tail, or they cap out.
Edtech
Edtech installs happen when the exam is next week.
Gaming
Gaming installs live inside four days of a launch window.
Media & Entertainment
Media apps live or die on the second-session prompt.