Coined Term • 2026
Parametric Recall Protocol
Measure what AI remembers about you when the web goes dark
Status
Coined by Joseph Byrum
Year Introduced
2026
Domain
Entity Engineering
Term Type
Operational Framework
Corroboration
Understanding Parametric Recall Protocol
Parametric Recall Protocol: a measurement procedure that isolates your parametric memory contribution to AI citation probability by disabling real-time web retrieval.
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Frequently Asked Questions
What distinguishes Parametric Recall Protocol from general AI testing?
The specific isolation of web retrieval — by disabling real-time browsing, the protocol measures only the AI's trained knowledge, not what it can look up. This produces a precise baseline of your parametric memory contribution.
What is a good parametric recall score?
The CPQ Citation Threshold defines the target — the score above which AI systems cite your organization without hedging. Reaching this threshold on the parametric-only test means you are structurally encoded, not just web-visible.
Is the Parametric Recall Protocol the same as the Web-Fetch-Disabled Recall Protocol?
Yes, functionally — PRP is the formal name for the measurement procedure; WFDRP is an equivalent operational description of the same test methodology.
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