CRAAP Test

How it works

CRAAP is an established source-evaluation method originally developed by librarians at California State University, Chico. In SeekBox, the analysis model (default: GPT-OSS) applies the five CRAAP criteria to every model’s output:

• Currency – How up-to-date is the information? Does it reference recent events or data?
• Relevance – Does the response directly address your query and your context?
• Authority – What credentials or knowledge base does the model draw from? Does it cite verifiable sources?
• Accuracy – Are facts verifiable? Are there internal contradictions or known hallucinations?
• Purpose – What is the apparent goal of the response? Is bias detectable?

When to use it

• Academic research or fact-heavy reports where source quality matters
• Medical, legal, or financial queries (always consult professionals, but use CRAAP to triage AI answers)
• Evaluating marketing claims or product reviews generated by AI
• Teachers assessing student work that used AI assistance
• Anyone who wants a standardized, transparent rubric instead of subjective opinion

This mode organizes model output for review. Its conclusions still require appropriate source checking and human judgment.