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Agentic Discovery Audit: A 1‑Page Checklist to Make Your App Discoverable to AI Agents

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AGENTIC DISCOVERY AUDIT: A 1‑PAGE CHECKLIST TO MAKE YOUR APP DISCOVERABLE TO AI AGENTS

SEOJune 19, 20265 min read1,024 words

AI agents don’t browse like humans. They discover capabilities via structured metadata, manifests and commerce protocols (ACP/UCP/agent registries). This post gives founders and product operators a practical, one‑page audit they can run and hand to engineers or partners to prove “discovery readiness”: everything from SoftwareApplication JSON‑LD to SKU-level product feeds, capability entry points, and concrete pricing endpoints with sample responses.

agentic-discovery-auditAI agent discoverySoftwareApplication schemaACP UCP hooksproduct feed schemadiscovery readiness checklistagent discovery audit

Section 1

What 'discoverable to AI agents' actually means (practical definition)

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Claiming your app is discoverable requires three concrete properties: (1) canonical metadata that describes the app and its capabilities (who you are and what you do), (2) machine-readable entry points that an agent can call (APIs, webhooks, or action entryPoints), and (3) commerce / pricing hooks when the capability is billable (product feeds, SKU metadata, or pricing endpoints).

For auditability, each property must be verifiable with a single URL or JSON example and a test response. That’s the heart of this one‑page checklist: every row is a provable artifact an engineer or agent can fetch and validate.

  • Metadata: JSON‑LD SoftwareApplication + rich properties (name, description, author, applicationCategory, operatingSystem, url, sameAs, potentialAction/EntryPoint).
  • Entry points: API URL templates, OAuth or token method, contentType, rate limits and sample success response.
  • Commerce hooks: product feed or SKU JSON with price, currency, availability, returnPolicy and a pricing API endpoint that returns sample price JSON.

Section 2

The 1‑Page Agentic Discovery Audit (the checklist layout)

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Design the page as a compact table or checklist where each line is a single auditable claim. Keep columns: Claim ID, Claim (what to assert), Proof URL / JSON, Example response (snippet), Pass/Fail, Notes. Each line must be satisfiable with one GET request and one 1–3 line sample response.

Below are the rows you need. You can convert this into a CSV, Google Sheet, or a single Markdown page in your repo that an auditor or partner can fetch.

  • App metadata (SoftwareApplication JSON‑LD): URL to page containing <script type="application/ld+json"> with @type: SoftwareApplication, name, description, url, author/@id.
  • Capability manifest / UCP or ACP manifest: endpoint that returns your UCP/ACP manifest or capability profile describing available actions and required auth.
  • EntryPoint templates: for each capability, provide urlTemplate, contentType, supported HTTP methods, and a 1‑line success sample.
  • Product feed / SKU metadata: JSON or feed (e.g., product JSON‑LD or merchant feed) with SKU, price, currency, availability, GTIN/MPN where available.
  • Pricing endpoint: REST endpoint that returns price and invoiceable metadata for a SKU or capability; include sample request and sample response.
  • Auth hooks: OAuth token URL, scopes required, and minimal example of obtaining and using a token (or API key usage).

Section 3

Concrete JSON examples to include on the page

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Don’t ask agents to infer. Provide short, copy‑pasteable examples: a minimal SoftwareApplication JSON‑LD, a sample ACP/UCP manifest snippet (capability name + entryPoint), and a pricing endpoint response. Keep examples under ~60 lines each so they’re human‑auditable.

The audit should mandate both a successful and an error sample for each endpoint (e.g., 200 success with content, 401 unauthorized). That makes troubleshooting faster for integrators and agent implementers.

  • SoftwareApplication JSON‑LD: include name, description, url, sameAs, applicationCategory, potentialAction/EntryPoint with urlTemplate. (See schema.org SoftwareApplication for required properties.)
  • ACP/UCP manifest snippet: capability id, title, description, input schema (minimal), entryPoint.urlTemplate, contentType and auth type.
  • Pricing response example: {"sku":"SKU123","price":{"amount":29.99,"currency":"USD"},"billingModel":"one_time","available":true}

Section 4

How to validate — quick tests engineers can run

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Validation should be three lines: (A) fetch metadata JSON‑LD and assert @type and name, (B) fetch manifest and assert presence of declared capability and entryPoint.urlTemplate, (C) call pricing endpoint with example SKU and assert price/currency fields. Use curl or Postman snippets on the single audit page.

Automate where possible. Add a small CI job (GitHub Actions or similar) that runs the three checks and posts a pass/fail badge on your repo or product page. The single audit page is much more convincing when it includes a live badge that proves the endpoints still return the expected fields.

  • curl -s GET metadata.jsonld | jq '.@type == "SoftwareApplication" and .name != null' (example assertion).
  • curl -s GET manifest | jq '.capabilities[] | select(.id=="purchase")' to prove capability existence.
  • curl -s POST pricing -d '{"sku":"SKU123"}' | jq '.price.amount and .price.currency' to validate pricing payload.

Section 5

Operational and product considerations — beyond the checklist

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Security and auth matter. Agents will prefer standardized auth flows (OAuth 2.0 + scopes) and clear rate limits. For paid capabilities, include billingModel metadata (one_time, subscription, per_call) and link to terms and refund policy in machine-readable fields where possible.

Think like a consumer of capabilities: minimize required consent steps, give a sandbox SKU or free tier for agent testing, and keep ids stable (immutable SKU and capability ids). That stability is what allows directories and agents to cache and reuse capability descriptions safely.

  • Publish rate limit and retry guidance in your manifest (e.g., X-RateLimit-Limit semantics).
  • Provide a sandbox SKU and predictable invoiceable price for testing by agents and partners.
  • Use stable, opaque IDs for capabilities and SKUs; avoid human-readable names as canonical identifiers.

FAQ

Common follow-up questions

Do I need to implement ACP or UCP to be discoverable?

No. You can be discoverable with rich SoftwareApplication JSON‑LD and product feeds, but implementing an agent protocol manifest (ACP, UCP or similar) makes discovery and invocation much easier and more reliable for agent ecosystems and marketplaces.

What’s the minimum metadata an agent expects?

At minimum: a SoftwareApplication JSON‑LD with name, description, url and at least one potentialAction/EntryPoint with urlTemplate and contentType. For commerce capabilities, include SKU, price, currency and availability in a machine‑readable feed.

How do I represent pricing for per‑call or metered capabilities?

Expose a pricing endpoint that accepts a SKU or capability id and returns structured pricing: amount, currency, billingModel (per_call, subscription, one_time), and any tiers. Include sample requests/responses on the audit page so integrators can simulate invoices.

Should the audit page be public or behind auth?

Make the metadata and manifest public (read‑only). EntryPoints that perform actions can require auth, but the discovery artifacts (SoftwareApplication JSON‑LD, capability manifest, product feed, pricing endpoint schema) should be publicly fetchable for discovery.

Sources

Research used in this article

Each generated article keeps its own linked source list so the underlying reporting is visible and easy to verify.

Next step

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Agentic Discovery Audit — 1‑Page Checklist for AI Agent Discoverability