App Store Optimization (ASO): How to Rank on the App Store and Google Play in 2026

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App store optimization is to an app what SEO is to a website: a set of on-page and off-page levers that decide where a listing appears and whether people tap "Get" or "Install". The rules are public. Apple documents them in its guide to creating your product page, and Google in the Play Console help. This guide covers both stores field by field, then the part most ASO guides skip: how the app's website, its search presence and its visibility in ChatGPT or Gemini bring installs the stores never see coming.

What is app store optimization and how does it work?

Each store runs its own search engine. When someone types "budget tracker" in the App Store, the algorithm matches the query against the text fields of every listing, then orders the matches using signals such as downloads, ratings, engagement and relevance. Apple says it plainly on its developer pages: keywords "help determine where your app displays in search results", and ratings and reviews "influence how your app ranks in search".

ASO therefore works on two funnels at once:

• Discovery: appearing for the right searches, in category charts, in editorial picks and in similar-app suggestions.
• Conversion: turning a listing view into an install. A higher conversion rate also feeds the ranking, because downloads are a ranking signal, so the two halves reinforce each other.

The same logic as keyword optimization on the web applies: match the words people use, place them where the algorithm reads them, and never stuff them.

How do the App Store and Google Play differ for ASO?

The biggest difference is where the store reads keywords. Apple gives you a hidden keyword field and ignores the long description for search. Google Play has no keyword field and reads the full description instead. The table sums up the official limits (checked October 2026).

Sources: Apple's product page and custom product pages documentation, and the Play Console store listing help.

How do you do keyword research for ASO?

ASO keyword research starts from the same question as web research: what do people type when they need what your app does? Three sources give the raw list:

1. Store autocomplete. Type the start of a query in each store and note the suggestions. They reflect real, frequent searches.
2. Competitor listings. Read the titles and subtitles of the apps that rank for your core term. Repeated words show what the algorithm associates with the category.
3. Your own web data. Google Search Console queries for your website, support tickets and reviews reveal the vocabulary of real users, often closer to store searches than a brainstorm.

Then sort the list by relevance, volume and competition. A new app rarely ranks for a head term such as "fitness"; a long-tail keyword such as "home workout no equipment" is reachable and converts better because the intent is precise. Automated keyword research does this sorting for websites (intent, difficulty, volume), and the website side of ASO starts from the same list.

How do you optimize the text fields of an app listing?

App name and title

The name carries the most weight in both stores. Put the brand first, then the main keyword if space allows ("Calmly: Sleep & Meditation"). Apple's App Review Guideline 2.3.7 limits names to 30 characters and forbids packing metadata with "trademarked terms, popular app names, pricing information, or other irrelevant phrases".

Subtitle and short description

The Apple subtitle (30 characters) and the Google Play short description (80 characters) are the second indexed line and the first sentence users read in results. Use them for a benefit plus a secondary keyword, never a repeat of the title.

Apple keyword field

Apple's rules for the 100-character field are precise: separate terms with commas and no spaces, skip plurals of words already present, skip the word "app" and category names, and never repeat a word already in the name or subtitle. Apple combines words across fields, so "budget" in the title and "planner" in the keyword field can rank for "budget planner".

Google Play full description

On Google Play, the 4,000-character description is indexed, so write it like a good web page: the main keyword in the first lines, secondary terms spread naturally, short paragraphs and lists. Google warns that repetitive or irrelevant keyword use in the title or descriptions can lead to suspension, and its metadata policy bans emojis, ALL CAPS (unless part of the brand) and ranking claims such as "#1" or "App of the year" in the title, icon and developer name.

How do icons, screenshots and videos raise conversion?

Most visitors decide from the search result itself, without opening the full page. On the App Store, the first one to three screenshots appear in results when there is no preview video, so they work as an ad. Good practice from both stores' guidance:

• Icon: one simple shape, readable at small size, distinct from the top competitors in your category.
• Screenshots: one benefit per image, a short caption in large type, the strongest feature first. Treat the first two like the hero of a landing page.
• Video: show the app in use from the first seconds, since many viewers watch muted and stop early.

Then test. Apple's product page optimization runs up to three treatments against the original for up to 90 days, on icons, screenshots and previews. Google Play's store listing experiments also cover text. Run one change at a time and wait for a clear result, the same discipline used to increase the conversion rate of a website.

Why do ratings, reviews and updates matter for ASO?

Ratings act on both funnels: they are a ranking signal, and the star average is visible in every search result. Apple's guideline 5.6.1 requires the official API to ask for a review and disallows custom review prompts, so timing is the only lever: ask after a success (a task completed, a goal reached), never at first launch or after an error.

Reply to reviews, especially negative ones that describe a bug, and mention the fix in the next release notes. Users who see a team that answers are more likely to install, the same mechanism that makes more Google reviews lift a local business. Regular updates also help: they keep the app compatible, give you a reason to refresh screenshots, and let you test new keywords on Apple, where the keyword field only changes with a new version.

Should you localize your app listing?

Yes, as soon as you target more than one language. Both stores let you write a separate name, subtitle or short description, keywords and screenshots per locale. Localization is more than translation: a Spanish user may search a different word than the literal translation of your English keyword, so run the research again in each market, as you would for SEO localization of a website.

How does your website SEO support app store optimization?

Many installs start outside the stores. People search Google for "best app to split bills", read a comparison, ask ChatGPT, then open the store already decided. A website optimized for search captures that demand before the store does:

• Landing pages per use case that answer one search each, with clear store badges and deep links.
• Smart App Banners on iOS (a meta tag Apple provides) and Android App Links, which verify that your domain and your app belong together, so web visitors open the right screen of the app.
• Structured data: the SoftwareApplication type in schema.org describes the app, its operating system and rating. A schema markup generator produces the code.
• A blog that targets user problems: guides on the topics your users search build traffic and authority. Sorank's blog article generator writes and publishes those articles in autopilot on WordPress, Shopify, Webflow or Wix.

A strong site also helps the store indirectly: more branded searches and more direct installs raise the download velocity that both algorithms reward. For the bigger picture, product marketing ties ASO, positioning and launch together.

How do AI assistants change app discovery?

Questions like "what is the best habit tracker for iPhone" now go to ChatGPT, Gemini or Perplexity as often as to a store. These assistants answer from web pages they can retrieve: review sites, comparison articles, Reddit threads and the app's own website. An app with no web presence outside its store page has little chance of being named.

The levers are those of generative search optimization: clear pages that answer one question each, reviews on third-party sites, comparisons where your app appears with honest strengths and limits. To know where you stand, track your brand in AI answers: Sorank follows the prompts you choose on ChatGPT, Claude and Gemini (plus Grok on Pro) and shows which apps are cited instead of yours.

Which ASO metrics should you track?

Both consoles provide the essentials for free: App Store Connect (App Analytics) and the Google Play Console. Watch these numbers by week and by country:

• Impressions and product page views, split by source (search, browse, web referrer).
• Conversion rate from page view to install, the main readout of your visuals and reviews.
• Keyword rankings for your 10 to 20 target terms (third-party ASO tools estimate them; the stores do not show them directly).
• Rating average and review volume, especially after each release.
• Retention, since an install that churns in a day sends a weak quality signal.

On the web side, Google Search Console and visits from AI assistants complete the picture. A GEO and SEO dashboard puts both in one place for the app's website.

ASO wins installs inside the stores; the website and AI visibility win the decision before users get there. Work both, and if you want the website side handled without adding hours to the week, look at Sorank's plans, with a 3-day free trial.