How We Analyze
We start with real computer vision measurements — symmetry, complexity, color science, WCAG contrast, golden ratio, shape psychology — then add colorblind simulation, image quality assessment, color harmony analysis, CLIP semantic classification, and industry benchmarking against 10,000+ real brand logos before interpreting through cognitive neuroscience and psychology research. Our multi-layer pipeline evaluates 550+ scientific metrics across 17 analysis dimensions.
The Analysis Architecture
A real-time view of how scientific knowledge, your inputs, and our AI engine converge to produce a complete logo intelligence profile.
Computer Vision (Layer 1)
Real image measurements via Sharp
Neuroscience Research
Visual perception research
Cognitive Psychology
Attention & memory encoding
Color Science & WCAG
Contrast ratios & color theory
Eye Tracking Datasets
Calibrated gaze & saliency studies
Behavioral Economics
Purchase intent & trust signals
Cultural Semiotics
Cross-cultural symbol meaning
Gestalt & Visual Science
Perceptual grouping principles
Colorblind Simulation
Brettel/Viénot matrices
Image Quality (PyIQA)
NIQE, BRISQUE, MUSIQ
CLIP Zero-Shot Vision
OpenAI visual-language model
Aaker Brand Personality
5-dimension personality framework
Palmer & Schloss (2010)
Color preference & ecological valence
Kobayashi Color Image Scale
180 image words & color-emotion mapping
Industry Benchmark Database
10,000+ real brand logos across 20 sectors
Shape Analysis (Zernike/Hu)
Geometric moment descriptors
550+ Scored Metrics
Design, psychology, market
Perception Response Map
Cognitive & emotional modeling
Eye Tracking Heatmap
Gaze paths & fixation data
Persona Evaluations
Per-audience emotional profiles
Market Intelligence
Purchase intent & trust scores
Color Science Report
Palette analysis & accessibility
33+ Page PDF Report
Complete analysis document
Verified Certificate
QR-coded analysis badge
Colorblind Previews
4 simulated vision conditions
Image Quality Scores
NIQE, BRISQUE, MUSIQ
Color Harmony Report
Wheel analysis & suggestions
CLIP Classification
Industry, archetypes & style
Industry Benchmark Ranking
Percentile vs 10,000+ logos
Brand Alignment Radar
50 personality values chart
Shape Psychology Profile
Geometric personality traits
AI Detection Report
Human vs AI-generated confidence
Design Trend Radar
8 modern trend alignments
Versatility Matrix
SSIM across sizes & backgrounds
Font Classification
7 categories with personality traits
The Pipeline in Detail
From upload to deliverable report in six stages — each building on the last.
Upload & Configure
Upload your logo in PNG, JPG, GIF, or WebP format (up to 10 MB). Optionally configure your industry vertical, brand description, and target audience filters.
Computer Vision Measurements
Before any AI interpretation, your logo undergoes objective analysis via multiple specialized engines — extracting 35+ measurements that become the ground truth for all subsequent interpretation.
Neuroscience-Informed AI Analysis
The objective measurements from Step 2 are fed into our multi-stage AI pipeline, which interprets them through validated cognitive psychology and neuroscience research frameworks.
Persona-Based Evaluation
AI-generated audience personas — grounded in demographic and psychographic research — evaluate your logo independently, producing a multi-perspective human response profile.
Eye Tracking & Attention Mapping
We generate predictive eye tracking data using DeepGaze IIE — a saliency prediction model trained on real-world human gaze recordings [Kümmerer et al., 2022].
Report Generation
All 550+ metrics, visualizations, and insights are compiled into an interactive dashboard and a downloadable 33+ page PDF report.
What We Measure
Each logo is evaluated across 17 scientific dimensions. Click any dimension to see the specific metrics we extract and the methodology behind them.
What You Receive
Every analysis produces a complete intelligence package — not just a score.
Interactive Dashboard
6-tab analysis dashboard with scores, charts, heatmaps, brain wave visualizations, and gaze path animations
33+ Page PDF Report
Comprehensive downloadable report with all metrics, visual analyses, persona evaluations, and actionable recommendations
Analysis Certificate
Verifiable certificate with unique QR code, tier-based grade, embeddable badge code, and shareable verification link
Competitor Benchmarking
Side-by-side comparison against competitor logos with metric-level benchmarking and differentiation analysis
Shareable Results
Generate share links with privacy controls, expiration settings, view limits, and selective content sharing
Raw Data Export
Full JSON data export of every metric and analysis result for integration with your own tools and workflows
Beyond Surface-Level Analysis
Most logo review tools give you a score and a few bullet points. Here's what makes our approach fundamentally different.
Measured Data First, Then Neuroscience Interpretation
We don't just evaluate whether a logo "looks good." We first compute real metrics — symmetry, complexity, edge density, contrast ratios — then interpret them through neuroscience research on cognitive structures involved in decision-making, emotional processing, reward response, and pattern recognition. Every neural prediction is anchored in objective visual measurements.
Real Audience Personas, Not Generic Scores
We generate AI audience personas based on your target demographics — age, gender, digital habits, economic background, lifestyle — and each persona independently evaluates your logo. You get per-persona emotional response data including happiness, anxiety, sentiment, attention scores, modeled engagement indicators (arousal, valence, attention), and familiarity ratings. This reveals how different audience segments experience your brand differently.
Predictive Eye Tracking, Not Guesswork
Our analysis includes animated gaze path simulations and attention heatmaps powered by a hybrid approach: DeepGaze IIE (a saliency model trained on MIT1003 real-world gaze data) determines precise fixation locations, while AI semantic analysis identifies elements and determines the natural viewing order. This shows exactly where viewers look first, how their eyes move through your design, and which elements receive the most fixation time. Saliency scoring ranks every design element by its attention-capturing ability. Visual flow efficiency measures whether your logo's visual hierarchy guides the eye intentionally or loses attention to unimportant areas.
Market-Ready Metrics, Not Just Design Critique
We generate modeled indicators related to brand strength: distinctiveness, clarity, category fit, impulse appeal, and competitive differentiation. Your logo isn't just art — it's a business asset. We model its potential to stand out, drive recognition, and build long-term brand equity, informed by industry benchmarks.
Methodology FAQ
Technical questions about the scientific models and standards behind our analysis pipeline.
Benchmark Transparency
Benchmark Dataset
10,247
Real brand logos across 20 sectors
MIT1003
Eye-tracking dataset (1,003 images)
ViT-B/32
CLIP model (400M image-text pairs)
3 IQA
NIQE, BRISQUE, MUSIQ quality models
Model Versions
| Component | Version | Last Updated |
|---|---|---|
| AI Analysis Engine | Gemini 2.5 Flash/Pro | March 2026 |
| Saliency Prediction | DeepGaze IIE v1.0 | February 2026 |
| CLIP Classification | ViT-B/32 | February 2026 |
| CV Measurements | OpenCV 4.x | February 2026 |
| Color Science | CIE Lab + Brettel et al. | Stable |
Known Limitations
Text-heavy logos: OCR extraction is good but not perfect — handwritten or highly stylized text may be misread.
3D/animated logos: Analysis is static — 3D depth and animation effects are not evaluated.
Cultural context: Cultural sensitivity scoring covers major global markets but may miss region-specific symbolism.
Small sample industries: Industries with fewer than 50 logos in our benchmark have wider confidence intervals.
AI interpretation: Narrative insights are AI-generated — they synthesize measurements but may occasionally over-interpret patterns.
See Your Logo Through Science
Real computer vision measurements, colorblind simulation, image quality assessment, CLIP classification, color harmony analysis, industry benchmarking against 10,000+ real brand logos, brand alignment across 50 personality values, and shape psychology. 550+ metrics across 17 scientific dimensions. Cognitive neuroscience interpretation grounded in objective data — powered by Aaker Brand Personality, Palmer & Schloss color preference research, and Kobayashi Color Image Scale. Upload your logo and get the most comprehensive analysis available — your first analysis is free.