Turn an App CMS into a Machine-Readable Content Inventory

This is an enrichment workflow for apps that benefit from named items. Begin with a compact map of capabilities, user intents and destinations; a CMS export should add useful selection detail, not duplicate every underlying record. The app-mapping guide shows both compact and enriched inputs.

Most apps already have the raw material for AI discovery. A CMS, product catalog, scheduling service, or domain API knows what items exist and when they change. The challenge is not authoring the same information again. It is mapping the existing source into a stable, bounded exchange profile.

The best implementation leaves the CMS authoritative and treats the public feed as a projection. Editors continue using familiar tools; the app-index adapter translates source fields, records provenance, and exposes only what is useful for selection and routing.

Choose representative records first

Start with ten to twenty entities that cover real variation:

• an ordinary current item;
• a scheduled or region-limited item;
• an item with multiple platform destinations;
• a renamed item;
• an unavailable item;
• a deleted or replaced item;
• localized content;
• fields with measurements or controlled vocabularies.

If the mapping works only for the happy path, scaling it will create silent data loss.

Define the field boundary

For each CMS field, decide whether it belongs in the discovery feed, an extension, or nowhere.

The core generally needs a stable native ID, type, name, short selection summary, modification time, availability, and destination. Vertical attributes should retain meaning through explicit units and vocabularies. A workout duration should not become the string “45 mins”; represent a numeric value and a documented unit.

Keep premium or substitutable content inside the app. A discovery record should help a user select a recipe, class, tour, or product without delivering the full paid experience.

Use public vocabularies where their semantics fit. Schema.org can support honest mappings, but Google’s structured data guidance requires the markup to represent visible content. Do not squeeze a domain concept into an inaccurate type merely to claim compliance.

Generate, do not duplicate

Build an adapter that reads the source and produces deterministic output. Store the mapping configuration in version control. For every accepted record, retain source identity and a content hash so unchanged data can be recognized.

For smaller catalogs, a complete JSON snapshot may be enough. For large catalogs, use a streaming format such as JSON Lines and explicit snapshot identifiers. Incremental integrations need idempotent events and deletion tombstones; omission alone is ambiguous unless the contract says the feed is complete.

Validate the projection before publication. Unknown extension fields can be preserved when namespaced, while unexpected core fields should fail visibly instead of being silently discarded.

Keep refresh failure safe

Never replace a working corpus with a half-read feed. Stage the candidate snapshot, validate cross-record rules such as duplicate IDs, then publish atomically. Quarantine malformed source items in your upstream pipeline and return errors identifying the source item and field without logging private payloads or credentials. Blue Jetty rejects the whole submitted snapshot if any record is invalid or duplicated, preserving the last successful corpus until a corrected complete snapshot succeeds.

Remote fetches need size, time, redirect, and network-address limits. A submitted URL is untrusted input even when it came from an authenticated developer.

Close the loop with destinations

Generate entity-level HTTPS links from the same routing rules the app uses. Verify Apple and Android domain associations independently and observe route health without rewriting the CMS source. When a link fails, preserve the last known-good item while marking the destination assessment appropriately.

The Blue Jetty publisher API receives these generated manifests and snapshots through a versioned public contract. Validate the output locally or through the dry-run endpoint, then submit it without depending on private integration knowledge.

Treat the feed like any other production interface. Version it, test fixtures, monitor refreshes, document deletions, and assign an owner. The CMS remains the writing tool; the projection becomes the discovery surface.