Schema entity coverage — Agentsy guide

A single Organization block tells an engine you exist. It does not tell the engine what you sell, or pin you to the right place in its map of the world. Entity coverage is about filling in the rest of the picture, so an engine understands not just your name, but your category and your offers.

This builds directly on the JSON-LD guide. If you have not added Organization yet, start there.

What it is

Entity coverage is how many of the relevant schema.org types your structured data actually uses. Three types do most of the work together:

Organization establishes your identity: the entity itself.
Service enumerates what you do: your distinct, nameable service lines.
FAQPage exposes the specific questions and answers an engine can lift directly.

Most sites stop at Organization. The gap this check flags is the missing Service and FAQPage markup on the pages where buyers decide.

Why AI engines care

Each type answers a different question an engine has about you. Organization answers “who is this?” Service answers “what do they actually do, and where?” FAQPage answers “what do their buyers ask?” Together they give an engine a fuller, more confident read of your category, which makes it likelier to place you correctly and pull you into the right answers.

Service is the one people skip most. If you offer distinct service lines, an audit, a retainer, an implementation, marking them up as Service turns them from prose into named things an engine can recognize.

How to set it up

Add a Service block for each meaningful service line. Key properties: serviceType (the category), provider (you), areaServed (where you operate), and offers (the commercial terms):

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Service",
  "serviceType": "AI search visibility consulting",
  "provider": {
    "@type": "Organization",
    "name": "Acme Analytics",
    "url": "https://www.acme-analytics.com"
  },
  "areaServed": {
    "@type": "Country",
    "name": "United States"
  },
  "offers": {
    "@type": "Offer",
    "price": "2500.00",
    "priceCurrency": "USD"
  }
}
</script>

Then make sure your buyer-question pages carry FAQPage markup, as shown in the JSON-LD guide.

Strengthen your entity with sameAs

The single most useful addition is the sameAs property on your Organization. It links your page to authoritative profiles that already describe you:

"sameAs": [
  "https://www.wikidata.org/wiki/Q12345678",
  "https://www.linkedin.com/company/acme-analytics",
  "https://www.crunchbase.com/organization/acme-analytics"
]

This disambiguation matters. If three companies share your name, the sameAs links are how an engine knows which one is you. Connecting your site to Wikidata, LinkedIn, and Crunchbase strengthens your standing in the knowledge graphs these engines draw on.

Cover what you actually offer

Coverage means coverage, not invention. Only mark up services you genuinely offer and questions you genuinely answer on the page. Padding your schema with types that do not match your visible content works against you. Validate every block before shipping with Google’s Rich Results Test or the Schema.org validator.