AI Perception Score
Strajist's signature layer: strategic deep questions asked to 8 AI models to surface the model's underlying belief about a brand, beyond surface mentions.
Definition
AI Perception Score is a 40+ question battery asked across 8 major AI models. Questions probe strategic dimensions, ideal customer profile, target company size, pricing perception, top strengths and weaknesses, closest competitors, recommended use cases, and category leadership claim.
Why it matters
Surface mentions tell you what AI said. AI Perception Score tells you what AI believes. Buyers don't stop at the first mention, they probe. The model's answers to those probing questions are what shape the deal.
How it is scored
Each answer is scored on accuracy (does it match the brand's reality?), positioning alignment (does it match intended positioning?), and narrative coherence (is the story consistent across the 40+ questions?).
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Start free trialRelated terms
The discipline of measuring how AI models describe, categorize, and contextualize a brand, and which sources shape those descriptions. One layer beneath visibility tracking.
How AI models rank and frame a brand against a defined competitor set on identical prompts, order, leader vs alternative labels, and recommendation strength.
How large language models describe, categorize, and contextualize a brand when asked about it, effectively the brand image AI models hold.
Whether AI-generated answers describe a brand in positive, neutral, or negative terms.
Tracking which competitors AI models recommend in your category and how their visibility evolves over time.
Designing and refining the set of prompts used to test AI visibility, so that the prompts reflect real buyer questions and produce stable, comparable results.