How It Works
The foundation of the Search Party data model is a simple chain:
Entity → Mention → Relationship
Entities are the “nouns” of the system: brands, products, people, publications, or concepts. Example: Nike, Slack Canvas, Sustainability.
Mentions are every time an entity appears in an AI response, along with the context: was it a top recommendation, a passing citation, or a direct comparison?
Relationships are built by combining mentions and observations into connections between entities. Example: Nike HAS_AFFINITY_WITH Sustainability or Slack Canvas COMPETES_WITH Notion.
This chain takes scattered AI outputs and turns them into a structured, living map of how your brand and ecosystem are perceived inside large language models.
Key Benefits
Consistency: Entities are global and standardized across all customers, ensuring accuracy
Context: Mentions capture not just that you appeared, but how you appeared
Insight: Relationships reveal meaningful connections—affinity, competition, validation, or contradiction—scored over time
Common Use Cases
Marketing: See if a campaign is increasing brand affinity with a narrative like “sustainability”
Product marketing: Track if a new feature is showing up as a competitor to another tool
Communications: Measure whether media outlets are validating or contradicting your brand messages