What ASO Stands For, and What It Does Not Mean
The ASO meaning is straightforward — app store optimization — but the term gets used loosely, so it is worth setting boundaries.
ASO is not app store advertising. Apple Search Ads and Google Play paid placements buy visibility; ASO earns it. The two interact, but they are different budgets and different disciplines.
ASO is also not the same as SEO, despite the family resemblance. Both involve keyword relevance and both reward genuinely useful products. But app stores are closed systems with far fewer ranking inputs, a much shorter listing to work with, and behavioral signals — installs, retention, ratings — that carry more weight than anything comparable in web search.
The Two Jobs ASO Does
Almost every ASO task serves one of two goals. Keeping them separate is the fastest way to make sense of the discipline.
Visibility. Getting your app in front of people — appearing in search results for relevant terms, surfacing in category browsing, holding a position in charts, or being picked up editorially. The metric here is impressions.
Conversion. Turning that exposure into installs. This is the job of your icon, screenshots, preview video, title, subtitle and ratings. The metric is conversion rate — installs divided by impressions.
These compound. Doubling impressions while conversion stays flat doubles installs. Improving conversion lifts installs from traffic you already had, at no extra cost — and, as covered further down, it also makes any paid traffic you buy cheaper per install.
Most teams new to ASO spend all their attention on the visibility half. The conversion half is usually where the faster gains sit, because it does not depend on an algorithm agreeing with you.
How Does App Store Optimization Work?
Both stores decide what to show using a mix of text relevance and user behavior. Neither publishes the full mechanism, but both publish enough to work from — and it is worth separating what the platforms actually state from what the industry infers.
What Apple documents
Apple states that App Store search results are "based on a number of factors, including text relevance (matches for your app's title, subtitle, keywords, and primary category), as well as user behavior (downloads, ratings and reviews, and more)."
Apple also documents practical constraints in its App Store search guidance: the keyword field holds 100 characters, terms are comma-separated, and words already used in your app name, subtitle or category should not be repeated there.
What Google documents
Google names five factors that shape what appears on Google Play: user relevance, quality of the app experience, editorial value, ads, and the user experience on Play itself. It describes store listing quality in terms of "the app's icon, title, screenshots, videos, description and links," which should "aid the user decision-making experience."
Google is also unusually direct about priorities in its discoverability guidance: "The best thing a developer can do to increase discoverability is to build an app that people enjoy and recommend to others."
What is inference rather than fact
Beyond those statements, most published ASO "ranking factor" lists are practitioner inference — drawn from testing, correlation and pattern-spotting rather than documentation. Much of it is useful and broadly reliable. None of it is authoritative, and specific weightings quoted as fact should be treated with suspicion.
The practical consequence: build against what the platforms say they reward, treat everything else as a hypothesis to test on your own listing.
Search Is Not the Only Way People Find Apps
Discovery runs through several routes, and they do not respond to the same inputs — a distinction most ASO explanations skip.
Search rewards relevance to the query. This is where keywords and metadata do their work.
Charts and browsing reward popularity and momentum. Google states plainly that Top Charts are "heavily influenced by popularity, whereas apps shown in search results are heavily influenced by relevance to the user's query." No amount of keyword work moves a chart position; download velocity does.
Editorial features are chosen by human curators, and are influenced by things no keyword field controls — design quality, timeliness, platform-feature adoption.
Off-store traffic — ads, press, word of mouth — arrives at your listing already knowing what it wants. For this group only the conversion half of ASO matters.
Knowing which route your installs actually come from determines where ASO effort belongs. An app living off paid traffic and referrals has a conversion problem to solve, not a keyword problem.
What You Actually Optimize
At a high level, the material you work with is short and mostly fixed in shape.
Text elements carry search relevance: app name or title, subtitle or short description, the keyword field on iOS, the long description on Google Play, and your category choice. These are the levers for being found.
Visual elements carry conversion: icon, screenshots, preview video. Most people decide from the search results page or the top of the listing without scrolling, which is why the icon and first two screenshots do a disproportionate amount of the work.
Social proof sits across both: star rating and review volume influence ranking on both platforms by the platforms' own statements, and they influence human decisions even more directly.
Localization multiplies all of the above across markets, and is substantially more than translation — search behavior and visual conventions differ by market.
Each of these is a discipline in its own right, and each rewards separate, deliberate attention rather than a single pass over the whole listing.
Ratings, Reviews and What Happens After the Install
ASO does not stop at the download, and this is the part most introductions leave out.
Both stores factor user behavior into what they promote. An app that is installed and quickly deleted sends a poor signal, and it accumulates the ratings to match. Retention and app quality therefore feed back into visibility — which is exactly what Google is pointing at when it tells developers the best route to discoverability is building something people recommend.
Practically, this means three things:
Ask for ratings at the right moment — after a user has experienced value, not on first launch.
Respond to reviews. It is visible to prospective users reading them, and it is one of the few direct channels you have.
Treat a spike in negative reviews as an ASO problem, not just a support problem. It affects both conversion and ranking.
An honest listing helps here too. Overselling in screenshots buys installs from people who will churn and rate you badly, which costs more than the installs were worth.
Why ASO Matters Commercially
The obvious case is free installs. The more interesting one is what ASO does to the cost of paid installs.
Conversion rate is a multiplier on all traffic reaching your listing, not just organic traffic. If your listing converts poorly, every paid click you buy is worth less — you pay the same for the visit and get fewer installs from it. Improve conversion and your effective cost per install falls across every acquisition channel at once, without changing a single bid.
That is why ASO and paid user acquisition should be planned together rather than sequentially. A performance marketing budget spending against an unoptimised listing is subsidising a fixable problem, and the return on ad spend will understate what the campaigns could deliver.
The same logic that governs landing pages governs store listings — the store page is simply a landing page you do not fully control, which is why conversion rate optimization methods transfer directly.
ASO Is Continuous, Not a Launch Task
Store listings are not set-and-forget. Competitors change their metadata, stores change their layouts and rules, seasonal demand shifts the terms people search, and your own product changes what is worth highlighting.
A working rhythm looks roughly like this: monitor impressions, conversion rate and installs by source in App Store Connect and Google Play Console; test one meaningful change at a time; give each test enough volume to mean something; keep what wins.
Testing conditions differ between the platforms — Google Play offers native store listing experiments, while iOS testing works differently — which is a practical reason to plan each store separately rather than copying one listing into the other.
What ASO Cannot Fix
Worth stating plainly, because ASO gets sold as a cure for problems it does not touch:
No demand for the category. If nobody is searching for what your app does, optimization has nothing to work with. That is a positioning problem.
A product people do not like. Both stores weight behavior and ratings. A poor app will be dragged down by its own signals faster than metadata can lift it.
The wrong audience. Ranking for broad, high-volume terms that do not describe your app produces installs that churn — and the churn hurts you.
A category dominated by entrenched incumbents. Chart positions driven by years of download velocity are not reachable through metadata alone.
ASO amplifies a product that works. It does not substitute for one.
Where to Start
If you are beginning from nothing, this order tends to be the most efficient:
Establish your baseline — current impressions, conversion rate and installs by source, per store.
Fix conversion first. Icon and screenshots are usually the fastest measurable win and depend on no algorithm.
Understand how people actually search for apps like yours, in the language they use rather than the language you use internally.
Align your text elements with those terms, respecting each store's rules and character limits.
Build a rating strategy into the product, not around it.
Choose the markets worth localizing for before localizing broadly.
Test, measure, repeat — one change at a time.
Turnalar runs ASO as a measured, continuous program across the App Store and Google Play, alongside the paid acquisition it feeds into. You can see how we approach it on our ASO services page.
About author
Kenan turns search complexity into clear growth opportunities. From technical SEO to content architecture, he builds strategies that help brands earn visibility, authority, and sustainable organic growth.

Kenan Mert Delipoyraz
Sr. SEO Executive
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