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TL;DR
Keyword research is still the ASO bottleneck. Steve shows why AI keyword brainstorming fails without App Store search-volume data, and why tools like ASOMobile are useful for finding low-difficulty, real-volume terms in crowded categories like calorie tracking. This source belongs to the app-masters-youtube batch.
Biggest lessons
- Do not trust generic AI keyword lists; many suggested phrases have no App Store search volume.
- Use competitors like Cal AI to inspect indexed keywords, rank, traffic score, and brand-search strength.
- Big paid/influencer apps build branded search volume; smaller apps need low-difficulty long-tail keywords to get any traction.
- Keyword research should guide both metadata and whether an idea has searchable demand before building.
Why it matters
- It adds operator-level detail to the wiki’s mobile growth system instead of another founder story.
- It connects execution tools and funnel mechanics back to durable concepts like seo-growth, mobile-app-monetization, paid-ads-scaling, and app-tool-stack.