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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

Gated AI visibility score

A gate multiplies a weighted sum of eight positive scoring factors and three suppression factors. The compact transcription names the visible factors without inventing uncertain tiny argument punctuation.

AI visibility / marketing scoring proposalsource graphic; not an execution result
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Start with the symbols, follow the operations, and check what the result means.

Open guided lesson
poster-eq-5d62eaaf1195a9mathematical expression
AIVis(p,q,c,u,t,l)=GATE(p,q)⋅[α⋅FIND+β⋅SUPPORT+γ⋅TRUST+δ⋅ENTITY+ε⋅USEFULNESS+ζ⋅CONTEXT+η⋅FEEDBACK+θ⋅CORROBORATION−λ⋅RISK−μ⋅COMPETITION−ν⋅REDUNDANCY]AI_Vis(p,q,c,u,t,l) = GATE(p,q) · [ α·FIND + β·SUPPORT + γ·TRUST + δ·ENTITY + ε·USEFULNESS + ζ·CONTEXT + η·FEEDBACK + θ·CORROBORATION − λ·RISK − μ·COMPETITION − ν·REDUNDANCY ]

Read the equation

A gate multiplies a weighted sum of eight positive scoring factors and three suppression factors. The compact transcription names the visible factors without inventing uncertain tiny argument punctuation.

Its role in the build

The Universal AI Visibility Equation

Terms & definitions

TermMeaning in this source
p

Page / website / source (the candidate).

q

User query.

c

Claim the statement needs to support.

u

User context, including location, device, language, personalization and history when used.

t

Time: current time, freshness needs and topic volatility.

l

Location: geographic location, service area and proximity.

S

Selected sources already chosen, used for diversity control.

α

Find coefficient.

β

Support coefficient.

γ

Trust coefficient.

δ

Entity coefficient.

ε

Usefulness coefficient.

ζ

Context coefficient.

η

Feedback coefficient.

θ

Corroboration coefficient.

λ

Risk penalty coefficient.

μ

Competition penalty coefficient.

ν

Redundancy penalty coefficient.

How it works

  1. Read AI_Vis(p,q,c,u,t,l) as the quantity being defined or updated by this relation.

  2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

  • The upper panel uses pictograms in the bracket. Its separator before the competition pictogram appears as a plus sign while the coefficient label below reads −μ; the complete text block subtracts competition. Preserve this visual inconsistency rather than silently choosing one upper-panel sign.

  • The complete-text block clearly supplies FIND(p,q), SUPPORT(p,c), TRUST(p), ENTITY(p,q), CONTEXT(q,u,t,l), FEEDBACK(p,q), and REDUNDANCY(p;S). Punctuation in the small USEFULNESS, CORROBORATION, RISK, and COMPETITION argument lists is not reliably legible at the supplied resolution.

  • No calibrated weights, numeric scale, training data, or measured search-engine/AI ranking function is supplied in this image.

Original context

Read the surrounding source passage
The Universal AI Visibility Equation: A gate multiplies a weighted sum of eight positive scoring factors and three suppression factors. The compact transcription names the visible factors without inventing uncertain tiny argument punctuation.
Exact original notation
AI_Vis(p,q,c,u,t,l) = GATE(p,q) · [ α·FIND + β·SUPPORT + γ·TRUST + δ·ENTITY + ε·USEFULNESS + ζ·CONTEXT + η·FEEDBACK + θ·CORROBORATION − λ·RISK − μ·COMPETITION − ν·REDUNDANCY ]

Related builds

Sources & provenance

01
AI visibility equation infographic.png
Upper pictogram equation and lower-right COMPLETE FORMULA (TEXT VERSION) block; verified transcript lines 15–23 · Jul 11, 2026
AI_Vis(p,q,c,u,t,l) = GATE(p,q) · [ α·FIND + β·SUPPORT + γ·TRUST + δ·ENTITY + ε·USEFULNESS + ζ·CONTEXT + η·FEEDBACK + θ·CORROBORATION − λ·RISK − μ·COMPETITION − ν·REDUNDANCY ]

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