What is the entity?
The definition must be short, specific, and stable enough to survive summarization.
Noa Feldman’s catalog room for answer-engine identity
Entity Graph Field
A measured guide to entity definition content and knowledge graph presence for teams that need AI engines to describe their brand, products, people, and expertise with fewer guesses.
AI engines answer questions about entities. Brands that define themselves clearly get described accurately.
Definition aperture
Make the entity clear enough to be named without you in the room.
Entity Graph Field turns identity work into publishing operations: primary definition, disambiguation, attribute evidence, source reinforcement, and ongoing knowledge graph presence.
Calibration points
Four questions before an AI engine describes you.
What is it not?
Near-neighbor confusion, duplicate names, product overlap, and category drift need visible boundaries.
What facts repeat?
Attributes, relationships, credentials, locations, founders, use cases, and proof sources should agree across surfaces.
Where can the graph attach?
Knowledge systems need consistent references that connect the entity to recognized people, categories, products, and sources.
Observed fields
entity SEO and knowledge graphs for AIentity definition contentknowledge graph presencesameAs and identity markup
Featured signal reading
Clear entities are built from claims that remain true after compression.
Each essay looks for the same operational question: what would an AI engine need to see, repeatedly and consistently, before it could describe this brand without inventing a shortcut?
Recent observation plates