Wien.gv.at Schema.org Analysis

Final Report: Is It Unique or Boilerplate?

Analysis Date: January 25, 2026 | Sample: 200 URLs | Data Source: Live Fetch

🔍 KEY FINDING: Organization Schema is PSEUDO-UNIQUE

While Organization schemas appear 100% unique (different @id per page), the actual content is only 37.5% unique. The name "MA 10 - Informationsplattform" appears on 35 different pages!

100%
Pages with Schema.org
176
Organization Schemas (Full)
66
Unique by Content (37.5%)
110
Duplicate Content

What's Actually IN the Organization Schema?

Here's a real Organization schema from a kindergarten page:

{ "@context": "https://schema.org", "@type": "Organization", "@id": "https://www.wien.gv.at/bildung/schadinagasse-9-teddybaer#Organization-9364c", "dateModified": "2024-02-01T12:38:43+01:00", "datePublished": "2024-02-01T12:37:00+01:00", "inLanguage": "de-DE", "name": "MA 10 - Informationsplattform" }

âś“ Fields Present

  • @context (always same)
  • @type (always "Organization")
  • @id (unique URL-based ID)
  • dateModified
  • datePublished
  • inLanguage (always "de-DE")
  • name (the ONLY useful info!)

âś— Fields Missing

  • address
  • telephone
  • email
  • contactPoint
  • description
  • openingHours
  • areaServed
  • parentOrganization

Uniqueness Analysis Per Schema Type

Comparing FULL schema (with @id/dates) vs CONTENT only (without metadata):

Schema Type Total Unique (Full) Unique (Content) Verdict
Organization 176 176 (100%) 66 (37.5%) PSEUDO-UNIQUE
WebPage 114 114 (100%) 114 (100%) TRULY UNIQUE
CollectionPage 18 18 (100%) 18 (100%) TRULY UNIQUE
Preschool 35 35 (100%) 35 (100%) TRULY UNIQUE
Project 11 11 (100%) 11 (100%) TRULY UNIQUE
NewsArticle 7 7 (100%) 7 (100%) TRULY UNIQUE
Event 6 6 (100%) 6 (100%) TRULY UNIQUE

Most Repeated Organization Content

These organization names appear on MULTIPLE pages with identical content:

Organization Name Occurrences % of Total Meaning
"MA 10 - Informationsplattform" 35 19.9% Magistratsabteilung 10 - Wiener Kindergärten
"MA 21" 13 7.4% Stadtteilplanung und Flächennutzung
"MA 10" 7 4.0% Wiener Kindergärten
"MA 08" 2 1.1% Wiener Stadt- und Landesarchiv
"MA 53" 2 1.1% Presse- und Informationsdienst
The Problem

35 different kindergarten pages all have the EXACT SAME Organization schema content: "name": "MA 10 - Informationsplattform"

They only differ by @id and dates - which is metadata, not meaningful content!

What AI/LLMs Can Extract

From Schema.org âś“

  • Page title (name)
  • Page description
  • Last updated date
  • Language (German)
  • Organization abbreviation ("MA 10")

NOT from Schema.org âś—

  • Full organization name
  • Contact phone number
  • Email address
  • Physical address
  • Opening hours
  • Service descriptions
  • Department hierarchy

Bottom line: An LLM reading "MA 10 - Informationsplattform" cannot know this means "Wiener Kindergärten" (Vienna Kindergartens) without external knowledge.

What Wien.gv.at Does Well

  • 100% schema.org coverage - Every page has structured data
  • JSON-LD format - Modern, recommended by Google
  • WebPage/CollectionPage schemas are TRULY unique - Good descriptions per page
  • Preschool schemas have unique content - Individual kindergarten info
  • Proper @id per page - Pages are identifiable

Recommendations for GEO Optimization

1. Enrich Organization Schema

{ "@type": "Organization", "name": "MA 10 - Wiener Kindergärten", // Full name, not abbreviation "alternateName": "Magistratsabteilung 10", "description": "Städtische Kindergärten der Stadt Wien", "address": { "@type": "PostalAddress", "streetAddress": "...", "addressLocality": "Wien" }, "telephone": "+43 1 4000-90900", "email": "post@ma10.wien.gv.at", "parentOrganization": { "@type": "GovernmentOrganization", "name": "Stadt Wien" } }

2. Add Page-Specific Contact Info

Each kindergarten page should have its own ContactPoint with specific phone/email.

3. Use GovernmentService Schema

For service pages, use schema.org/GovernmentService with service descriptions.

4. Add FAQPage Schema

Help pages should have structured FAQ data for AI extraction.

Methodology

AspectDetails
Sample Size200 URLs from wien.gv.at sitemap
Data SourceLive fetch on January 25, 2026
Uniqueness TestMD5 hash comparison of JSON-LD content
Content HashExcludes @id, dateModified, datePublished, url, mainEntityOfPage
Full HashIncludes all fields

Visualizations

Generated charts from the analysis:

Content vs Full Uniqueness

Content vs Full Uniqueness

Organization Content Patterns

Organization Patterns

Per-Type Uniqueness

Per Type Uniqueness

Uniqueness Heatmap

Uniqueness Heatmap

Conclusion

The Verdict

Organization schema on wien.gv.at is PSEUDO-UNIQUE.

It looks different per page (unique @id and dates), but the actual meaningful content (just the "name" field with cryptic abbreviations like "MA 10") is repeated across many pages.

For AI/GEO: The schema provides basic page identification but lacks the rich organizational data (contacts, addresses, services) that would make it truly valuable for LLMs.