Coined Term • 2026
Categorical Signal Share
The percentage of your AI authority score that survives when your market fills up
Status
Coined by Joseph Byrum
Year Introduced
2026
Domain
Entity Engineering
Term Type
Measurement Framework
Corroboration
Understanding Categorical Signal Share
Categorical Signal Share answers: of your total AI authority score, how much of it will hold its value when your market fills up with competitors? A score of 80 with 70% categorical signal share will still be 80 in a saturated market. A score of 80 with 20% categorical signal share will compress toward the competitive average. Before celebrating your EAS score, check your κ_cat_share.
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Frequently Asked Questions
What is Categorical Signal Share?
Categorical Signal Share (κ_cat_share) measures the proportion of your total AI authority position composed of noise-floor-immune categorical signals. It's the answer to: how much of your EAS score will still hold its value when your market reaches competitive saturation?
Why can two identical EAS scores have very different durability?
Because EAS doesn't distinguish how authority was built. An entity scoring 80 on EAS with 70% categorical signal share retains its position in a saturated market. An entity scoring 80 with 20% categorical share sees its advantage compress toward the competitive average.
How do you improve Categorical Signal Share?
By converting probabilistic investments into categorical infrastructure: authority database records, institutional registry entries, vocabulary declarations with timestamp attribution. These shift your signal composition from rented advantage toward permanent structural position.
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