AI‑Agent Release Checklist: 9 Prebuild Artifacts That Make Your App Immediately Citable and Discoverable

Before anything else, add a JSON‑LD SoftwareApplication block on your product page. Include precise fields: name, description, url, logo, applicationCategory, author/publisher, sameAs links, featureList, and interactionStatistic when available. This gives search engines and agent pipelines a canonical, machine‑readable entity to index and cite.

Keep the JSON‑LD minimal but authoritative. Use exact URLs and a consistent canonical link tag. Treat this JSON‑LD as the canonical record of your product’s identity: update its version/dateModified when the product changes to maintain provenance for agents.

AI agents prioritize short, unambiguous facts. Publish a small, plain‑text 'feature card' block on your site — think 1–3 bullets per card with a single sentence title, a 15–25 word caption, and an action example. Store them in HTML and duplicate as structured JSON‑LD (or as items in the SoftwareApplication.featureList).

Feature cards act as the atomic unit agents quote when summarizing apps. Keep them machine‑clean (no marketing fluff), use consistent terminology, and surface a canonical hyponym (e.g., “CSV import → column mapping”) so agents can map capabilities to queries.

A short microdemo video (10–30 seconds) showing the core value prop — recorded at 30–60 fps, 720p sufficient — is disproportionately effective. Host it on your page with an accessible thumbnail and include a VideoObject JSON‑LD block with transcript, duration, thumbnailUrl, and uploadDate so agents can surface a preview and cite the clip.

Make the first 5 seconds self‑contained: app name on screen, one problem statement, and one result. Add an accurate caption/transcript as text on the same page; agents often prefer text for quick extraction and citation.

JSON‑LD is primary, but agents still read OpenGraph and page metadata. Provide og:title, og:description, og:image and Twitter Card metadata that mirror your JSON‑LD fields. These act as fallback signals when agents or crawlers fetch pages with limited parsing stacks.

Also include clear canonical link tags and a consistent page title scheme (Product Name — One‑line tag). Consistency across JSON‑LD, meta tags, and visible H1/H2 text reduces ambiguity when agents disambiguate entities.

AI systems weigh provenance heavily. Publish a visible short block with publisher/author, current version, release date, links to source repo (if public), and a stable product slug. Include these in JSON‑LD and human readable form to let agents confirm identity and freshness.

If you have multiple editions (SaaS vs. OSS), provide separate SoftwareApplication entries or include distinct applicationCategory values. This explicit disambiguation prevents agents from conflating different products under the same name.