Coined Term • 2026
Framing Position Gap
AI is ranking you lower than your capabilities justify — and costing you deals
Status
Coined by Joseph Byrum
Year Introduced
2026
Domain
Entity Engineering
Term Type
Measurement Framework
Corroboration
Understanding Framing Position Gap
Framing Position Gap is the difference between where AI ranks you in comparisons and where your actual capabilities justify. You can have every fact correct in AI systems and still lose deals because AI consistently positions you third when you should be first. This is not an accuracy problem – it is a framing problem, and it requires a different fix. A negative Δ_framing means AI is systematically undervaluing you in the moments that matter most: when buyers are choosing.
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Frequently Asked Questions
What is the Framing Position Gap?
The Framing Position Gap (Δ_framing) is the difference between where AI ranks you in comparative queries and where your actual capabilities justify being ranked. A negative gap means AI is systematically undervaluing you at the exact moments buyers are choosing between you and competitors.
Is a Framing Position Gap an accuracy problem?
No — and this distinction matters. Your facts can be completely correct in AI systems while your framing position is still wrong. This is a structural problem at the framing layer: how AI positions you relative to others, not whether it knows your attributes. It requires a different fix than fact correction.
How is the Framing Position Gap measured?
Across six Framing Position Register levels, computed separately for parametric AI, RAG-augmented AI, and reasoning AI architectures — because the same entity can be framed differently depending on which retrieval pathway generates the response. A complete gap assessment tests all three.
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