KI-Technologie

Wissensgraph

A Knowledge Graph is a structured database that organizes information into "entities" (people, places, things) and the relationships between them (e.g., "CEO of," "Located in"). It allows search engines and AI to understand the meaning behind data, rather than just matching keyword strings.

KI-Technologie
Semantic Web
Strukturierte Daten

The Brain of Modern Search and AI

Knowledge Graphs are how Google "knows" that searching "Tom Cruise" should show his movies, height, and spouse—not because of keywords, but because these entities are linked in its Knowledge Graph. When you implement JSON-LD schema, you're essentially contributing facts to Google's Knowledge Graph and creating your own entity relationships. This is critical for both traditional SEO (powers the sidebar Knowledge Panel) and GEO (gives AI models structured facts to cite). Brands that define their Knowledge Graph explicitly control how search engines and AI models understand and present their business.

Traditional Database vs. Knowledge Graph

Aspekt
Ohne
With Knowledge
Data Structure
Database: Rows and columns
Graph: Entities with relationships
Beispiel
Row: "Elon Musk, CEO, Tesla"
Graph: "Elon Musk" --(is CEO of)--> "Tesla"
Query Type
Database: "Show CEO where company=Tesla"
Graph: "Who leads Tesla?" (understands intent)
AI Usage
Database: Must parse and interpret
Graph: Direct semantic understanding

Auswirkungen in der realen Welt

Vorher
Aktueller Ansatz
📋 Szenario

Website has unstructured text: "John founded Acme in 2020"

⚙️ Was passiert

Google can't create Knowledge Panel

📉
Wirtschaftliche Auswirkungen

No rich SERP features, generic search result

Danach
Optimierte Lösung
📋 Szenario

Add JSON-LD: "John" --(founder)--> "Acme", "foundingDate": "2020"

⚙️ Was passiert

Google builds Knowledge Graph entity

📈
Wirtschaftliche Auswirkungen

Knowledge Panel appears, AI cites facts accurately

Bereit zum Mastern Wissensgraph ?

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