Observed AI behaviour
AI Outcomes: How AI Systems Mention, Cite and Recommend Businesses
Citation Integrity assesses the underlying conditions for dependable evidence. AI Outcomes observes what AI systems actually mention, cite and recommend - the two are measured separately and neither guarantees the other.
The audience cluster for AI vendors, RAG platforms, and agent builders. It covers retrieval, reranking, evidence verification, and agentic self-correction, speaking directly to the technical buyer who needs to know whether the sources behind an answer actually support it. Expect pipeline-level detail, integration points, and measurable checks rather than capability claims.
In this cluster
Supporting articles.
Each article expands on one part of this pillar guide.
Articles coming soon.