Workflow

AppTweak finds your keywords.
ParseMyApp finds the words that convert.

Keyword volume tells you what people search for. User reviews tell you how they describe what they actually want. The best App Store listings use both.

The gap in keyword-only ASO

AppTweak tells you "budget tracker" gets 50,000 monthly searches in the US App Store. So you optimize your listing for "budget tracker." Makes sense.

But when users land on your page and read your description, they don't convert — because your copy sounds like a marketer wrote it, not like the app they're looking for. You ranked for the keyword. You lost the user.

The missing piece is user language. Not what people search for — what they say when they love or hate an app. Reviews are the largest free corpus of unfiltered user language you'll ever find.

The workflow

1

Find your target keyword in AppTweak

Use AppTweak to identify high-volume, winnable keywords in your category. You know what to rank for. Now figure out what to say.

2

Analyze the top 3 apps ranking for that keyword

Open ParseMyApp. Search each of the top-ranking apps for your keyword. Run the analysis. You're not looking at their features — you're mining how their users describe those features in their own words.

3

Extract the language users actually use

ParseMyApp surfaces exact user quotes from the Praises and Pain Points sections. These are not paraphrases — they're what real users typed. "Automatically logs every coffee I buy" is more compelling than "automatic expense tracking." Now you have the copy.

4

Check the competitor gaps for your angle

ParseMyApp also surfaces what users hate about those apps. That's your differentiation copy. If the top-ranked app keeps getting complaints about "confusing setup," your listing says "starts tracking in 30 seconds, no setup." You're speaking directly to the unsatisfied user.

5

Write the listing, validate back in AppTweak

Write your App Store description and subtitle using real user language. Plug it back into AppTweak's keyword density checker to confirm you're still hitting the target keyword. You now have copy that ranks and converts.

A concrete example

You're building a budgeting app. AppTweak shows "money tracker" has 40k monthly searches and moderate competition. You want to rank for it.

You run ParseMyApp on the top 3 apps ranking for that keyword. The Praises section for the #1 app shows: "I love that it just works in the background — I forget it's running and then I open it and my whole month is already tracked."

The Competitor Gaps section shows the #2 app getting destroyed for: "takes 20 minutes to set up categories before you can even start."

Your listing subtitle: "Money tracker that runs itself." Your first bullet: "Open the app. It's already tracking. No setup, no categories to create." That's not a feature list — that's the user's own words reflected back at them.

AppTweak does

  • — Keyword volume and difficulty
  • — Ranking tracking over time
  • — Competitor keyword gaps
  • — Metadata A/B testing
  • — Store listing optimization score

ParseMyApp adds

  • — Exact user language from reviews
  • — What users love (praise copy)
  • — What users hate (differentiation copy)
  • — Competitor weaknesses to exploit
  • — Works on any app, instantly

Works with any keyword tool. The same workflow applies whether you use AppTweak, Sensor Tower, data.ai, or even just the App Store search suggestions. ParseMyApp is the user language layer — the keyword tool is interchangeable.

Try it on your top competitor right now

Search any app, get the user language they're winning with — and the complaints your listing can directly address.

Analyze a competitor

Free. No account needed. 30 seconds.