App Store Optimization for Indie Developers

For an indie app, App Store Optimization (ASO) is the discovery channel you actually control. You’re not paying for acquisition, you’re not relying on a viral moment, you’re tuning the store listing so that when someone searches for what your app does, they find you and install. This post separates what Apple actually documents about App Store search ranking (which is less than people assume) from where practitioner consensus takes over — because conflating the two is how you end up chasing signals that don’t matter.

What Apple actually says about App Store search

Apple documents that App Store search uses the app’s metadata to match and rank results, but the precise weighting is not published. The durable, Apple-stated facts:

The app name and subtitle carry the most weight in matching — Apple’s App Store search documentation states that the app name and the subtitle (a 30-character field introduced in 2017) are the primary metadata fields search considers.
The keyword field (100 characters, comma-separated, no spaces between keywords) is also matched by search. You cannot repeat words from the name/subtitle in the keyword field (Apple treats that as wasted characters, since those words already match).
Downloads and engagement are Apple-stated as factors in ranking — Apple’s documentation has historically referenced download volume and user engagement as influencing how apps rank in results.
The description field has very limited (Apple-stated as no or near-no) keyword-search weight — Apple’s guidance is that the description is for users who’ve already found your listing, not for the search algorithm.

That’s the narrow, defensible set. Beyond this, App Store ranking is opaque — Apple does not publish the algorithm and routinely adjusts it. Treat anything more specific than the above as practitioner consensus, not Apple fact.

Practitioner consensus (clearly labeled as such)

The general indie-ASO practitioner consensus on what moves rankings and conversions, separate from Apple-documented claims:

Keyword research first. Pick keywords with a realistic chance of ranking for an unknown app (long-tail, specific, lower-competition). Tools like App Store Connect search-term reports and third-party ASO tools surface search volume and competition estimates. For an indie with no brand recognition, competing on a generic term (“notes”, “tasks”) is usually a loss; specific compound terms (“adhd task planner”, “voice journal”) are where you can rank.
Put the strongest keyword in the app name. The name carries the most match weight. Format: App Name — Keyword Phrase (the part after the dash counts). Reserve the 30-character subtitle for the next-strongest keyword combination.
Screenshots drive conversion, not just ranking. The first screenshot is what most users see before scrolling. It should communicate the app’s core value in one frame. Most users don’t read the description; they look at the first 1–3 screenshots and decide.
Ratings and reviews. Rating average and volume influence both ranking (engagement signal) and conversion (social proof). Asking for a rating at a good moment (after a success, not on launch) via the StoreKit rating prompt is the practical lever. Avoid over-prompting — Apple throttles the system rating prompt.
Localization. Localizing the app name, subtitle, keywords, and screenshots for each market materially expands discoverability. Even a low-effort localization (translated strings + localized screenshots) opens the app to that market’s search. The return per effort on localization is often higher than chasing marginal English keywords.
Category choice. Primary and secondary category affect where the app appears in browsed lists and what it competes against. A niche app that’s a weak fit for a broad category may do better in a more specific one.
Updates. A stale app drifts in ranking; a regularly-updated app signals to the algorithm (and to users comparing options) that the app is maintained. Update cadence is a low-rank signal but it compounds with the “last updated” date users see on the listing.

The thing to internalize: ASO is not one optimization, it’s a portfolio — name+subtitle keyword fit, screenshot conversion, rating volume, localization, and category — each contributing. Fixating on a single factor (usually keyword density) is the common indie mistake.

A workflow for an indie

A practical ASO loop for a solo developer:

Baseline. Use App Store Connect’s analytics + search-terms report to see what terms your app already ranks for and which convert. You can’t optimize what you can’t measure.
Pick 1–2 target keyword phrases that have search volume and where your app has a realistic ranking path. Don’t try to optimize for everything at once.
Rewrite the name + subtitle + keyword field to target those phrases. Don’t repeat words across name, subtitle, and keywords (each is matched separately; repetition wastes characters).
Re-do the first 1–3 screenshots to communicate the value tied to the target keywords. The screenshots should make the listing “click” for someone searching that phrase.
Submit an update (an updated listing is itself a small freshness signal, and you can’t change store metadata without a build in review in some cases — verify against current App Store Connect behavior).
Measure 2–4 weeks of search impressions and conversion, then iterate. ASO is not a one-shot; the search-terms report tells you whether the change moved the needle.
Repeat for the next keyword phrase. Build the portfolio over releases.

What doesn’t work (common indie mistakes)

Keyword stuffing in the description. Apple-stated: description has minimal keyword weight. Stuffing it makes the listing read badly and doesn’t help ranking.
Repeating the same word in name, subtitle, and keywords. Wasted; each field is matched independently and Apple counts the repetition against you.
Generic terms. “Notes” / “Tasks” / “Game” — you won’t rank for these as an unknown app. Go specific.
Over-prompting for ratings. Apple throttles the StoreKit prompt to 3 times per year per app per device. Save it for good moments.
Treating ASO as set-and-forget. Rankings drift; competitors update; Apple changes the algorithm. A listing that worked at launch decays without updates.

The takeaway

App Store search ranking rests on a narrow Apple-documented base (name + subtitle carry the weight, the keyword field adds, description does little) plus a larger practitioner-consensus surface (keyword research, screenshot conversion, ratings volume, localization, category fit, update cadence). Run it as an iterative loop: measure with App Store Connect’s search-terms report, target one keyword phrase at a time, rewrite name/subtitle/keywords/screenshots, ship, measure, repeat. For an indie, the compounding effect of this loop over releases is the discovery engine.

Sources & References

Apple Developer — App Store search (what metadata search uses): https://developer.apple.com/app-store/search/
Apple Developer — App Store Connect (analytics, search-terms report): https://developer.apple.com/app-store-connect/
Apple Developer — App Store Review Guidelines (metadata rules, no keyword stuffing): https://developer.apple.com/app-store/review/guidelines/
Apple Developer — StoreKit rating prompt (SKStoreReviewController, prompt throttling): https://developer.apple.com/documentation/storekit/skstorereviewcontroller
Note: claims about ranking factor weighting beyond name/subtitle/keywords/engagement are practitioner consensus, not Apple-stated, and are labeled as such in the body.