Unknown-Knowns in AI

Unknown-Knowns in AI

Description
Correct and verifiable facts that exist online but are not yet recognized by AI systems due to poor structure, missing attribution, or disconnection from the main entity.
The Unknown-Knowns in AI definition
These are correct and verifiable facts that exist online but are not yet recognized by AI systems because they are poorly structured, lack attribution, or are disconnected from the main entity. They are published but effectively orphaned assets.
How Jason Barnard uses Unknown-Knowns in AI definition
We identify these in Entity Audits and fix them by reconnecting the content to the central entity with schema and internal links, repeating facts in machine-friendly formats, and cleaning up disjointed narratives.
Why Unknown-Knowns in AI matters to digital marketers
Your best facts might already be online, but if AI doesn't see or trust them, they don't count. These represent lost influence. Recovering and structuring them gives your brand back what it already earned but never delivered.
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