ASO for iOS vs Google Play: What’s Different?

iOS and Google Play reward the same underlying outcome—helping the right person find and enjoy an app—but they expose different metadata, different search surfaces, and different ways to test a listing.

“Do ASO” is often treated as one task. In practice, an iOS listing and an Android listing are related products with different rules. The stores share a principle: they need to understand what an app does and they prefer results that users find relevant and worthwhile. But the inputs you control, the way text is used, the assets visible in search, and the experimental tools available to you are not identical. Copying an App Store listing into Google Play—or vice versa—usually leaves opportunity on the table.

The shared foundation

Both stores need a clear answer to three questions: what is this app, who is it for, and why should this person install it now? Accurate category choices, understandable names, useful screenshots, healthy ratings, and a product that retains users matter on both platforms. Neither Apple nor Google publishes a single ranking formula, and both explicitly describe search and discovery as evolving. That means ASO is not a checklist that guarantees position. It is disciplined product communication combined with measurement.

The practical mistake is to interpret that uncertainty as permission to guess. Build a baseline, state a hypothesis, edit the right field for the right store, and measure impressions, product-page conversion, installs, ratings, and retention. A store listing is not an isolated ad. It sets an expectation for a first session, and the quality of that session affects whether a discoverability gain can last.

iOS: compact metadata, deliberate choices

Apple gives iOS developers a small set of highly constrained search inputs. The app name can contain up to 30 characters, the subtitle up to 30 characters, and the keyword field up to 100 characters. Apple states that App Store search considers text relevance from title, subtitle, keywords, and primary category, as well as customer behaviour such as downloads, ratings, and reviews. The limits force prioritisation. A word in the name or subtitle has to earn its place because it is visible to every prospective customer and competes with brand clarity.

The keyword field is iOS’s distinctive tool. It is not shown on the public product page, so it can carry supporting concepts that would make a subtitle awkward. Apple recommends comma-separated terms without unnecessary spaces and says not to repeat words that already appear in the app name, subtitle, or category. The useful mindset is not “fill every character with popular words.” It is “cover the genuine concepts a relevant user may search, without wasting space on duplicates, generic filler, or misleading claims.”

Because the visible fields are short, iOS copy benefits from a clear hierarchy. Let the name carry brand plus category when possible. Let the subtitle carry the strongest benefit, audience, or differentiator. Let the keyword field cover adjacent concepts, feature terms, and language combinations that do not need to appear in customer-facing copy. Descriptions and screenshots still matter enormously for conversion, comprehension, and review, but a developer should not assume a beautifully written long description substitutes for missing search concepts in the constrained fields.

Google Play: a fuller textual product page

Google Play offers a different shape. The app name can be up to 30 characters and the short description up to 80 characters; the full description is far longer. Google says its discovery systems use information supplied by developers—such as title, description, category, and graphic assets—along with signals it identifies from the app, user feedback, and engagement. Its search help also notes that titles, developer names, and descriptions can all contribute, while results can vary by device, location, carrier, and available features.

That means Google Play gives you more room to explain the product, but more room is not an invitation to repeat the same term until the description becomes unreadable. Policy and user trust still apply. Use the short description as a concise promise that can convert a browsing user. Use the full description to explain key jobs, features, proof, onboarding expectations, and relevant terminology in natural language. If a user cannot understand the app after reading the first section, adding more keywords elsewhere will not solve the underlying problem.

A field-by-field comparison

Search results are not the only discovery surface

On iOS, search can include the app, ratings, screenshots or previews, app tags, in-app events, promoted in-app purchases, and custom product pages. Apple now lets developers associate keywords with custom product pages for organic search in supported contexts. This creates a way to align a specific product page with a specific intent, but it should be used carefully: a page for “guided sleep meditation” should actually show guided sleep meditation, not a generic screenshot sequence reused for every query.

Google Play discovery spans search, browse surfaces, recommendations, collections, editorial placements, and device-specific experiences. Google describes relevance and quality as central, but no single placement has one fixed recipe. Store listing assets still carry a major burden: icon, feature graphic, screenshots, video, rating, and description all help a person decide. Treat them as one story. A title promises the job, screenshots make the workflow concrete, and the product confirms the promise quickly after install.

Different testing tools, same scientific discipline

Apple’s product page optimisation lets a developer test alternative icons, screenshots, and app previews against a control. Custom product pages let teams create additional variants for particular audiences or campaigns, and selected pages can be assigned to relevant search keywords. Google Play provides store listing experiments and custom store listings that can tailor text and assets for audiences. The details differ, but the testing error is the same: changing too many variables and calling the winner “the new design.”

Choose one question per experiment. Does a screenshot showing the result improve conversion more than one showing setup? Does “shared budget” convert better than “expense tracker” for household users? Does a localised screenshot remove hesitation in a new market? Define the audience, control, metric, expected direction, and minimum decision window before launch. Keep a record of what changed, because a result is only reusable when you know what produced it.

Ratings, reviews, and product quality

This is where teams can over-focus on metadata. Apple says downloads, ratings, and reviews are among the customer-behaviour factors that influence App Store search. Google describes feedback, engagement, quality, and relevance as inputs to discovery. Neither statement turns ratings into a magic lever. But both make the broader point unavoidable: the store has evidence beyond your copy. A keyword phrase may earn a view; a weak first session, crashes, confusing paywalls, or unmet expectations can prevent that view from becoming sustainable discovery.

Read reviews by storefront and language. A localisation problem may appear as poor conversion in one country and low ratings in another. A feature request can reveal a missing long-tail promise. A complaint about onboarding can explain why a listing test gains clicks but not retained installs. Separate recurring themes from individual anecdotes, then feed the findings back into product, screenshots, support, and metadata. This is ASO as a feedback system, not a text-editing exercise.

Localisation is not copying English into more fields

Both stores support market-specific metadata and assets, and both require accuracy. Begin with the local search language, not the original English slogan. A search term that is common in one market can be awkward or misleading in another. Also audit practical differences: available features, pricing, currencies, privacy commitments, support hours, screenshots with text, and culturally specific use cases. Google specifically advises separate screenshots and promotional videos for each language when visual assets contain text.

A useful workflow is to maintain one product-message brief, then build two store-specific implementations. The brief defines the audience, problem, proof, and vocabulary. The iOS implementation decides what deserves its scarce visible characters and hidden keyword coverage. The Google Play implementation writes a strong short description and a complete natural-language explanation. Both use market-specific screenshots, but neither pretends a translated asset is automatically localised.

A practical release checklist

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