Agent‑Ready Feature Cards: A 1‑Page Template to Make App Features AI‑Citable

AI agents and modern search systems prefer structured, authoritative signals. A concise, machine‑readable feature card reduces ambiguity: it tells an agent exactly what the feature is, how it behaves, how to access it, and under what terms it can be used or purchased.

Beyond SEO, well‑structured feature pages reduce hallucination risk in LLM answers and make multi‑step agent workflows (compare, test, recommend) possible. Recent technical work shows that adding JSON‑LD and purpose‑built entity pages measurably improves agent retrieval and answer quality when used as a “memory” or canonical source.

A one‑page card also helps internal teams: PMs, designers, and engineers can align acceptance criteria, demo artifacts, and the canonical JSON payload that will be published with the release notes and landing page.

Keep the card to a single responsive web page or CMS entry. The card has four living components: (1) a clear textual brief, (2) a static mockup plus a short micro‑UX video (3–8 seconds) demonstrating the core flow, (3) machine‑verifiable acceptance tests, and (4) a JSON‑LD block that represents the feature as SoftwareApplication + HowTo + Offer nodes.

Each component has a purpose: the brief supplies natural language for human readers and agents; the mockup and micro‑video give visual proof and a canonical interaction to cite; acceptance tests let downstream agents check whether behavior matches claims; the JSON‑LD exposes structured facts that search and agentic systems can consume directly.

Start with an app‑level SoftwareApplication node that names the product and links to the feature card via an identifier or URL. Include recommended properties: name, description, applicationCategory, operatingSystem (or WebApplication), image (thumbnail), offers (if relevant), and a featureList or short feature description that names the card explicitly.

Add a HowTo node for the specific interaction the feature enables. The HowTo should include a concise name, estimated time, and a steps array where each step includes a short description and a URL pointing to the micro‑UX video timestamp or the card’s anchored section. If the feature unlocks paid functionality, include an Offer node that specifies price, priceCurrency, priceValidUntil (for promotions), and eligibleDuration for trials.

Agents are only as confident as the evidence they can check. Short micro‑UX videos (3–8s) with a clear start and finish give agents visual evidence; host them on your domain or a CDN and reference exact timestamps in the HowTo steps. Provide a plaintext transcript or step list alongside the video to help non‑visual agents.

Write acceptance tests in BDD style (Given/When/Then) and expose them on the card as machine‑readable JSON too. That makes it straightforward for an agent or end‑user automated checker to validate whether the live product behaves as claimed and to surface a confidence score when recommending features.

Treat the feature card as a canonical, versioned artifact. When you ship a feature, publish the card at a stable URL (preferably versioned: /features/feature-name/v1) and include a dateModified field in the JSON‑LD. If the feature changes, update the card and increment the version — agents and search engines will prefer stable canonical URLs with clear version metadata.

Validate markup, monitor indexing, and link the card from your main product page and changelog. Use sitemaps and internal linking to make the card discoverable; run the JSON‑LD through Google’s Rich Results and an independent JSON‑LD validator as part of your release checklist.