Discoverability
SoftwareApplication schema; an FAQ-schema'd pricing page; integration pages structured so assistants can match capabilities to needs.
Conceptual example · SaaS / software product
Documentation an agent can read, evaluate, and act on.
Buyers increasingly shortlist software by asking an AI assistant "which tools integrate with X and support SSO?". If your features, pricing, and integrations are not machine-readable, you are absent from that shortlist before a human ever sees your site.
SoftwareApplication schema; an FAQ-schema'd pricing page; integration pages structured so assistants can match capabilities to needs.
Named team with verifiable identities, dated case studies with measurable outcomes, current security/compliance pages (SOC 2, GDPR).
Fast, accessible docs; answer-layer summaries atop every doc page; keyboard-navigable interactive examples.
Public REST + MCP endpoints with published examples so an agent can run a real query, not just read about one.
This is the genuine JSON-LD embedded in this page's <head> — the same data an AI engine reads. There's no honest way to link you to a page's source (browsers block it), so here it is in full. Confirm it via your browser's View Source, or validate it independently.
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.6",
"reviewCount": "92"
},
"applicationCategory": "BusinessApplication",
"featureList": [
"SSO / SAML",
"REST API",
"MCP endpoint",
"GDPR data residency (EU)"
],
"name": "Cadence Analytics",
"offers": {
"@type": "Offer",
"price": "49.00",
"priceCurrency": "EUR"
},
"operatingSystem": "Web"
}
This is a concept, not a real business. The brand is invented; the structured data, semantic markup, and answer-layer units on this page are genuine and validatable. That's the point — see the framework applied, then verify it.