Review miningCompetitor keyword gap
Pull out the words your rivals' metadata carries and yours does not.
A category's shared vocabulary lives in the titles and subtitles of the apps in it. A word most of your rivals carry and you do not is usually a gap you can close the moment you notice it.
This tool extracts 1-3 word phrases from the rival text you paste, drops the ones your own metadata already covers, and ranks what is left by how many rivals use it. The extraction is the same n-gram logic the product builds its pool with.
Title, subtitle and the keyword field if you have one - all in one box.
One rival's title and subtitle per line. 0 lines entered.
The text-folding rule differs by storefront.
Enter at least one rival line. The comparison happens entirely in your browser.
How to use it
- 1
Enter your own text
Your title, subtitle and keyword field if you have one. This is what counts as “already yours”.
- 2
Add the rivals
One rival's title and subtitle per line. Five rivals represents most categories well enough.
- 3
Read the gaps
Phrases carried by more than one rival come first. That is the category's shared language - if you do not have it, it should be on purpose.
Why titles are not enough
Scanning rival titles is a good start and a closed source: everyone sees the same pool, reaches the same conclusions, and ends up competing over the same ten words. What this tool gives you is the category's shared language - that is, exactly where the competition is.
The differentiation lives in the source nobody looks at: user reviews. People describe an app in words that appear in no store listing, and those are the words they type into search.
Should every word it finds be targeted?
No. A phrase appearing in rival metadata proves somebody wrote it there, not that anybody searches it. Two filters apply: is it actually searched, and would your app satisfy the person who came from that search?
The second matters more than it sounds. Placing yourself on an irrelevant but popular keyword brings traffic, drops conversion, and eventually pulls the ranking down with it.
Watch for brand names
Some of what comes out of rival text is a brand name. Putting somebody else's brand in your metadata is a behaviour Apple rejects, and it delays your version.
rankcusp flags that separately; here you have to spot it yourself.
Frequently asked
- How many rivals should I enter?
- Three to five is enough in practice. Pick the ones that genuinely appear in the same searches; an app in the same category doing a different job only pollutes the vocabulary.
- I cannot see my rivals' keyword field - is that a problem?
- No. The keyword field is invisible to everybody; the constraint is the same for all of you. Title and subtitle are the two most heavily weighted fields, so they carry most of the comparison.
- Do you show how popular the phrases are?
- Not here - popularity is measured against the store, and this tool makes no store requests. The frequency shown is how many rivals carry it: a measure of how common it is, not of demand.
Other free tools
- Keyword difficulty calculatorWork out how hard a search term's first page is to take, with the formula the product itself runs.
- Metadata checkerAudit your title, subtitle and the 100-character keyword field, and see how many characters are being wasted.
- Review keyword extractorPaste user reviews and get the searchable phrases back, with the narration filtered out.
- ASO ROI calculatorPut a monthly and yearly figure on a ranking improvement, in your own numbers.
Something does this for every keyword, every day.
By hand, one keyword takes a few minutes. rankcusp measures every phrase in your pool every day, separates the ones that fall into the 11-30 band, and proposes a single metadata move for each.