AI workflow · Verified 2026-10-12
AI-assisted ASO keyword research
Use models to organize real language and intent—not to fabricate store search volume or difficulty.
In brief
AI is useful for clustering customer language, expanding concepts, identifying intent, and mapping phrases to product proof. Treat every generated phrase as a candidate until it is validated for relevance, policy, market language, and available evidence.
Start with a real language corpus
Collect reviews, support conversations, interviews, store suggestions, competitor positioning, product UI language, and appropriate third-party estimates. Remove personal and confidential information before sharing.
Cluster by decision intent
Group phrases by the job and expectation behind them, not merely shared words. Ask which product proof and page promise would satisfy each cluster.
Validate generated candidates
Check product relevance, market idiom, policy, trademark risk, field fit, and whether the product can retain someone arriving with that expectation.
Say what is unknown
A model’s frequency intuition is not App Store or Google Play search volume. Label third-party popularity and difficulty values as vendor estimates with a date and market.
Primary sources
Rules and interfaces move. Recheck these sources before submission-sensitive work.