Keywords & Semantic Clusters

• The title, subtitle or short description, and description of the app and of up to 10 competitors.
• The App Store keyword field, when App Store Connect is connected or the field is entered by hand.
• Search volume on both stores, estimated from Google web-search demand in Google Ads. On the App Store the estimate is shown on a popularity-style scale, but it is not Apple's own popularity value: compare it with other terms in the same audit, not with Apple Ads or other tools' popularity figures.
• Difficulty from store search results, reviews and Google Ads cost per click; current rank from live store search.
• Suggested terms from Apple Ads or Google Ads keyword ideas and from store autocomplete.

A 0 to 100 score from these readings:

• Ranking strength: how many of the terms the app ranks for are near the top of search.
• Opportunity: volume against difficulty for each suggested term, raised when the term is trending up.
• Top-term rank: the app's rank for the market's top search terms.
• Listing coverage: whether the market's top terms appear in the title, the subtitle or short description, the description, or the App Store keyword field.

• A suggested term to add to a named field, when its opportunity is high.
• A term the app already ranks for whose rank can improve.
• Each row names the field and the change, with the term's current rank or its absence from search.
• Terms grouped into themes, each marked strong, moderate, weak or opportunity from its rank, search volume, difficulty and trend, and whether it appears in the listing.

• Apple Ads search popularity, Apple's own figure.
• Google Play's own search volume. Volume on both stores is a Google web-search figure, so it is a proxy for store search.
• Text inside screenshots.
• Which App Store field a covered term sits in. A top term found only in the App Store description counts as covered, although Apple does not index the description for search.
• More than 300 suggested keywords in one audit; the cap is lower when the audit runs short of time. The app's own terms are measured separately, under a limit of their own.
• Long-tail terms in small categories, where search data is sparse.

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