19.Discover a competitor's visual strategy

Name: Dembrandt
Author: Dembrandt

PMDesignerMarketing

Overview

What visual language does each competitor use before a user reads a single word? Extract tokens from multiple brands in the same category, then ask an AI agent to compare color temperature, type personality, and UI density.

Every design system communicates a personality before a user reads a word: color temperature (cool, warm, neutral), type personality (geometric precision, humanist warmth, transitional authority), UI density (open and airy vs. information-dense), and border treatment (sharp and technical vs. rounded and approachable). Extract tokens from three to five competitors in the same market category, then ask an AI agent to analyze what each brand communicates through its visual choices. This is market positioning research done with actual data instead of subjective impressions.

Extract competitor A

Terminal

dembrandt stripe.com --save-output

Extract competitor B

Terminal

dembrandt linear.app --save-output

Extract competitor C

Terminal

dembrandt notion.so --save-output

AI agent prompt

# If brand-visual-language skill is installed, activate it first.

# Load all three extractions, then:

"Compare the visual strategy of these three products.

Output a structured table:

DIMENSION | BRAND A | BRAND B | BRAND C

Color temperature| warm/cool/neutral

Type personality | humanist/geometric/transitional

UI density | tight/medium/open (note px spacing base)

Border treatment | sharp/rounded (note px radius base)

Shadow depth | flat/subtle/elevated

For each dimension, note the specific token values that drive the conclusion.

End with one sentence per brand: what it communicates before a user reads a word.

Flag any dimension where two brands are within 10% of each other as ≈ (similar)."

Output

Visual strategy analysis: brand tone, density positioning, and design language compared across competitors.

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