How to Design a Mobile App Content Feed for AI Discovery

Use this guide when named-entity enrichment is useful. A first integration can map one major experience and its route without exporting a full catalog; see the compact app-mapping inputs. The current inline API is bounded to 4,000,000 bytes and 1,000 entities. Larger-feed engineering is a separate choice, not the default onboarding task.

A good mobile app content feed is not a database export and not a marketing sitemap. It is a small interoperability surface that lets an independent consumer answer four questions: what exists, which item matches an intent, how current the record is, and where the user should go next.

The safest way to build one is to keep the core envelope small and let vertical detail travel through documented extensions. Fitness classes, restaurant dishes, hiking trails, tickets, and financial products do not share a universal ontology. They do share identity, labels, timestamps, availability, provenance inputs, and destinations.

Start with a manifest

The manifest identifies the publisher and app, declares supported schema versions, and points to one or more feeds. It should include controlled domains and platform identifiers so a consumer can scope native IDs correctly. It can also declare whether a feed is a complete snapshot or an incremental stream.

Use a portable validation format. JSON Schema Draft 2020-12 is a reasonable exchange boundary because producers in different languages can validate the same document. Runtime application types can still use Zod, TypeScript, Kotlin, Swift, or another native tool internally.

Keep every record independently useful

Each entity should include:

• a stable publisher-scoped ID;
• a type or stable type URI;
• a concise name and optional selection summary;
• a source modification time;
• language and geographic scope where applicable;
• typed attributes, including units for measurements;
• availability;
• one or more destination candidates.

Do not use a mutable title or URL as the only identity. If “Morning Flow” becomes “Sunrise Mobility,” a consumer should update the same entity rather than creating a duplicate. If an item is replaced, model that relationship explicitly.

Avoid declaring conclusions that belong to the index. A publisher can say when it changed a record and which domain it controls. It should not declare the index’s final trust score, freshness state, relevance, or observed destination health.

Make updates unambiguous

Two delivery models cover most needs:

Snapshot: the feed is a complete view at a named point in time. Records missing from a successfully accepted new snapshot can be tombstoned according to an explicit policy.

Events: each line is an idempotent upsert or deletion with a monotonic cursor or event ID. Consumers can retry without duplicating changes.

For large catalogs, JSON Lines lets producers and consumers stream one record at a time. Validate and quarantine malformed source items upstream before preparing a complete submission. Blue Jetty rejects a full snapshot containing any invalid or duplicate record and preserves the entire last successful corpus. Correct the errors and retry a valid complete snapshot; it does not partially activate the valid lines. Keep submissions within the published size and record limits.

Treat destinations as data

A destination is more than a URL string. Record its platform, kind, priority, regional or authentication constraints, and fallback. Apple describes the two-way association behind Universal Links; Android similarly verifies websites and apps through App Links.

The publisher supplies destination candidates. The index can separately observe whether they resolve, redirect, or fail. Keeping those facts separate avoids turning a transient outage into corrupted publisher data.

Ship a compatibility test, not only prose

Before calling the feed a standard, try materially different catalogs. A cycling class, a trail, and a restaurant menu item should fit the same core without losing the attributes that make each selectable. Then ask an independent producer to generate the feed and an independent consumer to ingest it using only the published specification.

Blue Jetty uses this narrow-profile approach to give AI useful app context and publisher-approved destinations. Start with the app's capabilities and experiences; use the feed contract for selected structured data where it improves representation or routing. Preserve useful vertical detail in typed extensions without copying the full catalog by default.

Start with ten representative entities. Validate identity, deletion, extension preservation, and destinations. Only then scale the export.