The Perception Score™

The standard for measuring how AI understands brands.

The Perception Score™ is SpokenOf's proprietary assessment framework for measuring how accurately, consistently and confidently AI understands, represents and recommends a brand. It transforms AI perception into a consistent, repeatable and evidence-based business measure.

Perception Score™Measurement Scale
0 - 100
000
025
050
075
100
+27 pts
100Ideal
89Reachable
62Current
The SpokenOf Assessment Method™

Structured.
Evidence-based.
Continuous.

SpokenOf Assessment Method™
Continuous
Assessment
Method™
Observe
Validate
Measure
Benchmark
Improve

The SpokenOf Assessment Method™ combines structured AI observation, evidence validation and comparative benchmarking to produce a consistent and repeatable measurement of AI brand perception. Every assessment follows the same methodology, making results comparable across brands, industries and time.

Evidence-basedRepeatableComparableTransparentIndependent
Assessment Dimensions

Four dimensions.
One consistent score.

Perception Matrix™
Internal Definition
External Representation
Future Influence
Current State
02
AI Readiness
How effectively AI can interpret and use brand information.
04
Influence Potential
How strongly the brand can shape future AI understanding and recommendation.
01
Brand Governance
How clearly the brand, products and positioning are defined.
03
Ecosystem Consistency
How consistently the brand is represented across relevant sources.
Interpretation

Interpreting the Score

Perception Journey™
62
Current
89
Reachable
100
Ideal
Current Position
Measured today
Reachable Improvement
Through the defined programme
Remaining Potential
Distance to theoretical maximum
Current Position
The measured state today.
Reachable Improvement
The measurable gain achievable through the defined programme.
Remaining Potential
The distance between the reachable state and the theoretical maximum.
AI Information Flow

Where AI builds its understanding.

AI Information Flow
01
Owned Sources
Websites, product data, official communication
02
Earned Sources
Media, reviews, coverage
03
Third-Party Sources
Directories, aggregators, references
04
AI Models
Interpretation and synthesis
05
Users
Answers, recommendations, decisions
Source Ecosystem
AI Interpretation
Market Outcome
Evidence Model

Every score is anchored in evidence.

Evidence Model
01
Verified Sources
Authoritative, verifiable references
02
Structured Data
Machine-readable brand information
03
Owned Content
Official positioning and product data
04
External Signals
Independent representation across the ecosystem
05
Observed AI Responses
Systematic observation across leading AI systems

Different forms of evidence contribute to one structured assessment.

The framework shown represents the current working model and will be further developed as the SpokenOf assessment methodology is formalised.

The Framework

What shapes how AI recommends a brand.

The score rests on two forces: whether AI understands your brand as intended, and whether that understanding translates into effective representation and recommendation.

Pillar 01

Soul Alignment

Does AI understand who your brand truly is?

Measures whether AI understands the identity, personality and decision logic behind your brand.

  • Identity
  • Personality
  • Decision Logic
  • Recommendation Alignment
  • Consistency
  • Emotional Outcome
Pillar 02

AI Market Performance

Does AI represent and recommend your brand effectively?

Measures how your brand performs across AI-driven discovery, comparison and recommendation environments.

  • Visibility
  • Representation
  • Recommendation Strength
  • Authority
  • Ecosystem Consistency
The SpokenOf Method
Diagnose
Improve
Measure
The SpokenOf Method turns perception gaps into measurable improvement.
The Perception Score™

A proprietary assessment framework.
A repeatable methodology.
One consistent standard.

Designed to help organisations measure AI perception consistently, benchmark progress over time and prioritise actions with confidence.