Free Mobile Application Schema Generator

Fill in the facts visible on your page, copy the Mobile Application JSON-LD, and validate it before you publish. The guide, examples, and FAQs are below the tool. Generate this schema with AI

Type to filter 121 supported schema types.

Schema workflow

Use only facts a visitor can verify on the page, then validate the JSON-LD before publishing.

Required

  • Visible Mobile Application content
  • Canonical page URL
  • Clear page owner/publisher
  • Fields that match the visible page

Recommended

  • A representative image when the schema supports it
  • SameAs or related links when visible
  • Validation before publishing

Avoid

  • Adding properties that are not visible
  • Copying example URLs into production
  • Skipping Google and Schema.org validation

Schema stacks

Use Mobile Application schema in a stack

Complete JSON-LD bundles that combine Mobile Application with the other types a real page needs. Browse all stacks

  • App Store Landing Stack

    Multi-platform app landing pages with MobileApplication + SoftwareApp, reviews, FAQs, and breadcrumb context.

Next step

Validate, repair, and publish clean structured data.

Check the generated JSON-LD against the visible page, then run both SwiftSchema and external validators before publishing.

Mobile Application Schema Generator — Clarify App Platform & Store Links

Generate clean MobileApplication JSON‑LD. Specify app name, category, platforms (operatingSystem), pricing, ratings, and store URLs to improve understanding.

Try the Mobile App Generator

Why many app pages underperform

  • Supported platforms (iOS/Android) aren’t specified in markup.
  • Store listing URLs and pricing aren’t modeled via offers.
  • Ratings are missing or not summarized with aggregateRating.
  • Manual JSON‑LD is inconsistent across app pages.

How SwiftSchema helps

The generator guides you to include app `name`, `applicationCategory`, and `operatingSystem` (e.g., iOS, Android), along with optional `offers` (price/currency) and `aggregateRating` (ratingValue/ratingCount).

It supports canonical `url` (site or store listing) so search engines can associate the app page reliably.

How it works

  1. 01

    Choose MobileApplication in the generator below.

  2. 02

    Enter app name, category, and operatingSystem (list supported platforms).

  3. 03

    Add store listing URL(s) via `url` or `offers.url`; include price/currency in offers when applicable.

  4. 04

    Add aggregateRating (ratingValue/ratingCount) when policy‑compliant.

  5. 05

    Copy JSON or Script, paste on your app page, and validate in the Rich Results Test.

Ready to build the markup?

Paste once per app page. Validate. Ship.

Generate MobileApplication JSON‑LD

What is MobileApplication structured data?

MobileApplication is a specialization of SoftwareApplication that describes native apps distributed via app stores. The schema covers your app’s name, category, supported operating systems, pricing model, ratings, download URLs, and publisher. When included on your app landing page, it acts like a product spec sheet for your software, allowing search engines, app directories, and AI assistants to understand exactly what the app does and where to get it.

Structured data is especially important when you market the same app across multiple platforms. It helps consolidate signals for brand searches (“SwiftPlanner app”), ensures knowledge panels reference the correct store listings, and proves that your app page offers more than thin marketing copy.

Why app markup matters

  • Discoverability: Google surfaces app install buttons in knowledge panels and search results when it understands platform support and store URLs.
  • Trust & compliance: Store policies and review guidelines expect accurate representations of price, ratings, and supported devices. Schema helps keep everything aligned.
  • Multi-platform clarity: Apps often support iOS, Android, and tablets with different pricing or features. Structured data outlines those differences clearly.
  • Automation: With consistent JSON-LD, marketing teams can automate QA to ensure every app microsite references the latest version, price, and rating, preventing stale or thin pages.

Essential properties to include

  • name: Official app name as shown in stores.
  • applicationCategory: Use Schema.org or store categories (e.g., “BusinessApplication”, “Lifestyle”, “Game/Arcade”).
  • operatingSystem: List supported platforms (“iOS”, “Android”, “iPadOS”). Separate them with commas or provide an array.
  • url: Canonical landing page or store link. You can also include per-store URLs in offers.url.
  • offers: Use Offer objects to describe purchase models:
    • price and priceCurrency for paid apps.
    • url pointing to the store listing (App Store, Google Play).
    • availability (e.g., InStock) or price = 0 for free apps.
  • aggregateRating: Include ratingValue, ratingCount, and optional ratingExplanation if you display reviews. Remember: only use ratings you’re allowed to republish.
  • operatingSystem and softwareRequirements: document minimum OS versions or device limitations (e.g., “iOS 16 or later”).
  • applicationSubCategory, softwareVersion, releaseNotes: Provide more detail on updates.
  • screenshot / image: Showcase UI previews.
  • publisher / author: Reference the company or developer with Organization schema.

Preparing app content before generating schema

  1. Gather store metadata: Name, description, category, price, and availability from App Store, Google Play, etc. Confirm they match the copy on your landing page.
  2. Document platform support: List OS versions, device types, and any platform-specific features. This informs operatingSystem and softwareRequirements.
  3. Collect media assets: Screenshots, promo videos, and icons. Use them both in the page content and structured data.
  4. Compile ratings and reviews: Determine if you can legally display ratings (some stores restrict usage). If allowed, include aggregateRating.
  5. Outline monetization: Note whether the app is free, freemium with in-app purchases, subscription-based, or paid upfront. Represent this in offers.
  6. Plan multi-store coverage: Decide if you’ll include multiple Offer objects (one per store) and how you’ll update them during releases.
  7. Align with versioning: Prepare softwareVersion, downloadUrl, and release notes to highlight recent updates, showing that the app page is fresh.

These prep steps ensure your app landing page contains substantive information, not just a download button — guarding against thin-content evaluations.

Implementation workflow inside SwiftSchema

  1. Select MobileApplication in the generator.
  2. Enter the app name, applicationCategory, and operatingSystem. Provide an array if you support multiple platforms.
  3. Add url pointing to your canonical marketing page or primary store listing.
  4. Configure offers:
    • For each store, create an Offer with price, priceCurrency, and url.
    • Indicate availability and price = 0 for free apps, or note subscription terms in the visible copy.
  5. Include aggregateRating if you display store ratings and have permission. Supply ratingValue, ratingCount, and optional bestRating.
  6. Add publisher (Organization) with logo and sameAs links for brand consistency.
  7. Optionally include softwareVersion, softwareRequirements, and screenshot URLs to highlight recency.
  8. Export the JSON-LD, embed it on the app landing page, and validate via the Rich Results Test.

Troubleshooting and QA

  • Mismatched store data: Ensure the schema’s price, rating, and version match the app store listings. Automate nightly checks to compare JSON-LD with store APIs.
  • Missing operating systems: If you only list “Mobile” instead of “iOS, Android,” Google may not show platform-specific CTAs.
  • Outdated screenshots: Keep images current to reflect new UI. Replace both visible and structured-data references after major releases.
  • Unauthorized ratings: Don’t fabricate or scrape ratings you’re not allowed to republish. Use only the values you display on the page and have rights to show.
  • Multiple app pages: If you run one landing page per platform, ensure each includes the proper MobileApplication schema referencing the specific store.
  • Incomplete offers: Always include currency codes (USD, EUR). Without them, price data may be ignored.

Automate QA by checking schema values against app store APIs or internal release notes. Flag differences for the growth/product marketing team.

Maintenance and release cadence

With every app release:

  • Update softwareVersion, offers.price (if pricing changes), and aggregateRating (if you refresh displayed ratings).
  • Swap screenshots or videos as your UI evolves.
  • Ensure the landing page highlights new features, keeping the page informative (not thin) and aligned with schema.
  • Log updates in your content calendar and schema_guides_inventory.csv.

For multi-geo apps, maintain localized landing pages and schema per language/region, referencing the correct store URLs. When apps are deprecated, remove or update schema to avoid promoting unavailable downloads.

Common Errors & Fixes

  • Missing OS: specify platforms like "iOS, Android".
  • No price or currency: add offers.price and offers.priceCurrency even if the app is free (use 0).
  • Stale ratings: refresh aggregateRating when store numbers change.
  • Incorrect store URLs: ensure Offer url points to your official listing, not a tracking redirect.
  • Ignored updates: after major releases, update both the page copy and schema so search engines know the app is actively maintained.

AI and answer-engine readiness

Mobile Application structured data gives Google, AI search systems, and answer engines a cleaner entity record to reference when they summarize your page. Keep the JSON-LD aligned with the visible page copy: names, URLs, locations, media, offers, and contact details should match what users can verify on the page.

Use this markup as part of an AI-ready schema stack, not as a standalone ranking promise. The goal is to reduce ambiguity so crawlers can understand what the page represents, which entity owns it, and which facts are safe to reuse in search answers or AI summaries.

Validation workflow

  1. Generate the Mobile Application JSON-LD with SwiftSchema.
  2. Run the published URL through the Schema Markup Validator to confirm Google can read the markup and nothing required is missing.
  3. Before publishing, paste the JSON-LD into the Schema Markup Validator to catch syntax, vocabulary, and required-field mistakes.
  4. Validate the live URL in Google Rich Results Test and Schema.org Validator before requesting indexing.
  5. Re-check after major content, brand, location, product, or media changes.

Internal linking checklist

  • Link this schema page from related schema types and from any relevant guide or stack page.
  • Link the live business/content page back to supporting entities where useful, such as Organization, WebSite, WebPage, Article, Product, LocalBusiness, or media schema.
  • Keep canonical URLs stable so search and AI systems see one authoritative version of the page.

Required properties

  • name
  • applicationCategory
  • operatingSystem

Recommended properties

  • offers.price
  • offers.priceCurrency
  • aggregateRating.ratingValue
  • aggregateRating.ratingCount
  • url
Minimal JSON-LD
Validate
{
  "@context": "https://schema.org",
  "@type": "MobileApplication",
  "name": "Tasky",
  "applicationCategory": "Productivity",
  "operatingSystem": "iOS, Android"
}

FAQs

iOS and Android?Show

List both in `operatingSystem` when applicable.

App store links?Show

Use `offers.url` or `url` to point to store listings.

Related types

Browse all schema types

References