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Research — Knowledge Graph

How knowledge graphs influence AI recommendations

Research into the role knowledge graphs play in LLM brand recommendations — how Google's Knowledge Graph, Wikidata, and other entity databases shape the way AI assistants understand and recommend B2B SaaS brands.

Content in Production

Knowledge Graph Research — coming soon

Knowledge graphs are the structured backbone that AI platforms use to understand real-world entities. Our research quantifies how graph presence and completeness affect brand recommendation frequency.

What's being produced
  • How Google's Knowledge Graph feeds into AI recommendation models
  • Wikidata's role across ChatGPT, Gemini, Claude and Perplexity
  • Entity relationship data that strengthens brand recommendation probability
  • Knowledge graph completeness benchmarks for B2B SaaS categories
  • How to audit and improve your Knowledge Graph presence
In the meantime

Related resources you can use now

While this section is in production, these existing resources cover adjacent topics you'll find useful.

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