Keyword Suggestions

Generate controlled keyword ideas from app metadata and cached or live Apple Search prefix observations.

Best for: Teams expanding an App Store keyword set
Access: Full Access

Generate suggestions

Choose the app and storefront. The run derives seed terms and checks a controlled number of Apple Search expansions through the shared gateway.

Preparing metadata identifies the app context.
Generating keywords creates candidate terms.
Checking Apple Search validates public visibility signals.
Saving results creates the reusable snapshot.

Prioritize ideas

Suggestions are discovery inputs, not proof of search volume. Select terms that are relevant to the product and validate them with ranking and difficulty evidence.

Remove brand-irrelevant terms.
Review country-specific language.
Check current rank and competitors.
Avoid assuming an autocomplete-style signal equals demand.

Data statuses

Results identify how their underlying data was produced. Always read the source and update time before making a decision.

Live: returned by the source during the current request.
Observed: public source data stored with an observation time.
Cached: a previous source response shown when live collection is limited.
Estimated: a modeled score or range, not private Apple-reported performance.
Exact: authorized first-party data only.
Beta: provider-dependent coverage that may be incomplete.

Run behavior

Prefix expansion is intentionally capped and serialized to protect Apple Search. Individual query failures do not crash the whole run.

Cache can be used during rate limits.
No-cache queries may be queued for retry.
Do not start parallel duplicate analyses.

Related resources

Keyword Suggestions Keyword Difficulty Keyword Research Hub