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Structured data for AI search: what is worth adding

Updated: · Orbtown

Structured data will not make an assistant recommend you. It does make facts about your company unambiguous, and that is worth half an hour.

What Google actually says

For AI Overviews and AI Mode, Google states there is no special schema.org markup you need to add, and that markup must match the visible text. It continues to support structured data for regular search features.

Why add it anyway

Your name, address, services and official profiles become machine-readable without guesswork, which helps any system that parses them, including directories and tools. It is a small job with lasting value.

Start with these

Example

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Example Dental",
  "url": "https://example.com",
  "telephone": "+421 900 000 000",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Main Street 1",
    "addressLocality": "Bratislava",
    "addressCountry": "SK"
  },
  "sameAs": ["https://www.facebook.com/example"]
}

Put it in a script tag of type application/ld+json.

Common questions

Is schema a ranking factor for AI?

Google says no special schema is needed for its AI features. Treat it as clarity, not as a ranking trick.

Can markup contain things not shown on the page?

It should not. Google says structured data should match the visible text.

Sources

Give AI one more reliable source about your company

Orbtown is an open company directory built for AI: structured profile, llms.txt and an MCP server. €5 per floor once, then €5 a month per plot.

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