One change first
The highest-priority observed issue becomes one narrow release task instead of a long unranked report.
ASO release preflight
Paste one live listing. Get one evidence-backed action, confidence level, public-data coverage, source scope, and an exact recheck date. A free account is required to run it.
Illustrative output
Change first
Clarify the first-line benefit
Observed description issue with a narrow, reversible action.
Confidence
High
Evidence
92%
Recheck
7 days
Example data only. Your result is built from the listing URL you submit.
Five-minute decision loop
Your listing is required. Competitor context is optional and must come from the same store. Sign in is requested only when you run it.
What you get
The preflight connects the existing audit and competitor evidence into one small action loop for indie app developers.
The highest-priority observed issue becomes one narrow release task instead of a long unranked report.
The result explains why the action was chosen and how much public evidence was actually available.
Copy the task brief, publish one controlled change, and rerun the same check after the listing is live.
Evidence boundary
App stores do not expose every optimization field publicly. AppTide keeps the ASO score separate from evidence coverage and turns missing public fields into a verification step.
FAQ
What the tool can prove, what it cannot prove, and how to use the result.
It is a short check before an app launch or listing update. AppTide reads one public App Store or Google Play listing and returns one next action, its evidence, confidence, and a date to check again.
No. It uses public listing evidence only. Private keyword fields, conversion rates, retention, revenue, and console-only experiments are excluded and shown as limitations.
The fastest workflow needs only your listing. A same-store competitor can add public-listing context, but competitor metadata does not prove search volume, ranking potential, relevance, or conversion impact.
No. The ASO score summarizes observed listing checks. Evidence coverage shows how many expected public fields were actually available, so missing data is not mistaken for a confirmed defect.
Run the preflight, copy one task, publish one controlled change, and check the same evidence again.