03 · How Understanding Forms
Retrieval, Evidence & Consensus
Information exists, then it is retrieved, then sources are selected, then they corroborate one another, then consensus emerges. This is where Aingworth's Consensus Over Rankings thesis lives.
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Begin with these foundational concepts:
All Retrieval, Evidence & Consensus terms (16)
Retrieval
Finding the relevant information a system will use to answer.
Technical TermRetrievability
The degree to which a brand's information can actually be found and used.
Aingworth ConceptQuery Fan-Out
Breaking one question into many searches before answering.
Industry TermSource Selection
How a system decides which sources are worth using.
Industry TermSource Diversity
The range of independent sources feeding a system's understanding.
Industry TermCanonical Source
The version of a fact a system treats as authoritative.
Industry TermCorroboration
Independent sources confirming the same thing.
Aingworth ConceptInformation Provenance
The traceable origin and history of a claim.
Industry TermCitation
A reference a system uses, and often shows, when answering.
Industry TermCitation Decay
References becoming fewer, less prominent, or out of date over time.
Industry TermConsensus
Independent sources and systems arriving at the same understanding.
Industry TermModel Consensus
Different AI systems agreeing on what a brand is and is known for.
Aingworth ConceptSignal Consistency
Whether the evidence around a brand tells the same story everywhere.
Aingworth ConceptEntity Consistency
Being represented the same way as an entity across the ecosystem.
Industry TermGrounding
Connecting a generated answer to real, checkable information.
Technical TermRetrieval-Augmented Generation (RAG)
Retrieving source material before generating an answer.
Technical TermNo terms match your search. Try a different word, or clear the box above.
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