The evidence layer is often the most familiar part of entity infrastructure, because it overlaps most with conventional content work — but not all content functions as corroborating evidence in the way AI systems use the term. Understanding the difference helps you get more value from content you may already be producing.
Independent description, not self-description
The most valuable evidence is content that describes an entity from outside that entity's own promotional voice — neutral, descriptive, third-party-feeling content. Content published by the entity itself, about itself, in promotional language, tends to function differently — it's useful for direct engagement, but it doesn't corroborate in the same way that independent description does.
Consistency over volume
A handful of consistent, accurate descriptions across different contexts tend to be more valuable than a large volume of content that varies in how it describes the entity. If ten pieces of content describe an entity ten subtly different ways — different categorisations, different key facts, different framings — that variation can dilute the corroboration effect rather than strengthen it.
Media with structured context
Images and other media can also function as evidence — but their value as evidence often depends on the structured information attached to them: what they depict, when and where they were created, how they relate to the entity in question. Media without this context is just decoration; media with it becomes part of the corroborating record.
Where this leaves existing content
If you already have a content library, it likely already contains material that functions as evidence — it just may not be structured, connected, or consistent in the way that maximises its corroborating value. Often, the highest-leverage move isn't creating new content, but auditing existing content for consistency and connecting it properly to the rest of the entity infrastructure.