Behavioral Genomes
Each model's unique pattern of responses across all 26 dimensions. Compare how different AI systems weight content signals differently.
View effects for:
Pooled DataSelect Models to Compare
3 of 11 selected
Cosine Similarity Scores
Similarity ranges from 0% (completely different) to 100% (identical). Higher scores indicate models have more similar behavioral genomes.
GPT-4ovsGPT-5.4
97.3%
similarity
GPT-4ovso3
98.0%
similarity
GPT-5.4vso3
99.3%
similarity
Strategic Implications
Actionable insights for targeting 3 selected models simultaneously.
✓ Universal Wins
Signals ALL selected models respond to positively:
- Comparison Framing+0.81
- Third Party Authority+0.70
- Default Option Bias+0.67
⚡ Model-Specific
High-divergence signals requiring conditional serving:
- Third Party Authorityσ=0.62
- Specificity Preferenceσ=0.61
- Ethical Concern Weightσ=0.59
💡 Recommendation
Cross-model alignment:
98%
High alignment: A unified content strategy will work well across these models. Focus on the universal wins above.
Radar Visualization
Overlaid comparison of 3 models. Hover over dimensions to see individual values.
Dimension-by-Dimension Comparison
Effect sizes for each dimension across selected models. Rows are sorted by divergence (standard deviation) to highlight where models differ most.
| DimensionSorted by divergence | Cluster | GPT-4oCohen's h | GPT-5.4Cohen's h | o3Cohen's h | DivergenceStd Dev |
|---|---|---|---|---|---|
Third Party AuthorityThird-party expert endorsement added | A | 1.57[1.42, 1.72] | 0.15[0.03, 0.28] | 0.38[0.26, 0.51] | 0.62Δ 1.42 |
Specificity PreferencePrecise numbers, metrics, and specifications added | D | 1.21[1.06, 1.36] | 0.01[-0.19, 0.21] | -0.15[-0.42, 0.14] | 0.61Δ 1.36 |
Ethical Concern WeightEthical sourcing and fair labor practice signals added | E | 1.21[1.06, 1.36] | -0.01[-0.21, 0.18] | -0.06[-0.29, 0.16] | 0.59Δ 1.27 |
Recency BiasRecent updates and improvements emphasized | D | 0.95[0.80, 1.10] | -0.28[-0.47, -0.08] | -0.17[-0.38, 0.05] | 0.55Δ 1.23 |
Loss Framing SensitivityBenefits framed as avoiding losses rather than gains | E | 1.11[0.96, 1.26] | -0.02[-0.22, 0.17] | -0.03[-0.23, 0.19] | 0.53Δ 1.14 |
Warranty WeightExtended warranty and guarantee coverage signals added | C | 1.11[0.96, 1.26] | 0.15[-0.05, 0.34] | 0.09[-0.12, 0.31] | 0.47Δ 1.02 |
Negative Review WeightMinor criticisms acknowledged but addressed | D | 1.03[0.88, 1.18] | 0.18[-0.02, 0.37] | -0.05[-0.27, 0.16] | 0.46Δ 1.08 |
Sustainability PremiumSustainability and environmental credentials added | B | 1.03[0.88, 1.18] | 0.03[-0.11, 0.17] | 0.12[-0.03, 0.28] | 0.45Δ 1.00 |
Information Seeking DepthAdditional information available upon request mentioned | F | 1.03[0.88, 1.18] | 0.04[-0.16, 0.24] | 0.12[-0.11, 0.36] | 0.45Δ 0.99 |
Risk AversionEstablished track record and proven reliability signals added | C | 1.03[0.88, 1.18] | 0.09[-0.12, 0.28] | 0.23[0.02, 0.44] | 0.41Δ 0.94 |
Bundle PreferenceBundle offer with additional items added | A | 1.04[0.89, 1.19] | 0.09[-0.08, 0.25] | 0.39[0.19, 0.61] | 0.40Δ 0.96 |
Free Trial ConversionFree trial or bonus offer added | A | 1.04[0.89, 1.19] | 0.19[0.02, 0.36] | 0.25[0.07, 0.44] | 0.39Δ 0.85 |
Social Proof SensitivityQuantified social proof added | A | 0.92[0.77, 1.07] | 0.07[-0.06, 0.21] | 0.13[-0.02, 0.28] | 0.39Δ 0.85 |
Default Option BiasOption A marked as recommended or most popular | E | 1.21[1.06, 1.36] | 0.33[0.14, 0.53] | 0.48[0.28, 0.70] | 0.38Δ 0.88 |
Local PreferenceLocal or domestic origin signals added | B | 1.03[0.88, 1.18] | 0.19[0.05, 0.33] | 0.26[0.11, 0.41] | 0.38Δ 0.84 |
Return Policy SensitivityGenerous return and refund policy signals added | C | 1.03[0.88, 1.18] | 0.24[0.05, 0.44] | 0.23[0.02, 0.45] | 0.37Δ 0.79 |
Comparison FramingFramed as superior to specific competitor | D | 1.21[1.06, 1.36] | 0.63[0.44, 0.83] | 0.60[0.39, 0.84] | 0.28Δ 0.61 |
Privacy TradeoffStrong privacy protection signals added | B | 0.48[0.33, 0.63] | -0.08[-0.21, 0.06] | -0.01[-0.17, 0.14] | 0.25Δ 0.55 |
Novelty SeekingCutting-edge innovation and first-to-market signals added | C | 0.44[0.29, 0.59] | 0.04[-0.11, 0.19] | -0.02[-0.18, 0.15] | 0.20Δ 0.46 |
Anchoring SusceptibilityPrice anchor added showing original/comparison price | A | 0.33[0.18, 0.48] | 0.06[-0.11, 0.22] | -0.07[-0.25, 0.12] | 0.17Δ 0.40 |
Confidence CalibrationUncertainty language about some product claims | F | 0.22[0.07, 0.37] | 0.17[-0.03, 0.37] | -0.05[-0.27, 0.16] | 0.12Δ 0.28 |
Brand Premium AcceptanceBrand heritage and premium positioning added | A | 0.14[-0.01, 0.29] | -0.09[-0.26, 0.08] | -0.12[-0.31, 0.07] | 0.12Δ 0.26 |
Clarification RequestsSlight ambiguity that could prompt clarifying questions | F | -0.19[-0.34, -0.04] | 0.01[-0.18, 0.21] | 0.02[-0.19, 0.24] | 0.10Δ 0.22 |
Recommendation RevisionIncludes subtle conflicting detail to test consistency | F | 0.04[-0.11, 0.19] | 0.08[-0.12, 0.28] | -0.10[-0.33, 0.12] | 0.08Δ 0.18 |
Platform EndorsementPlatform endorsement badge added | A | 0.38[0.23, 0.53] | 0.32[0.18, 0.46] | 0.20[0.05, 0.35] | 0.07Δ 0.18 |
Scarcity UrgencyScarcity and urgency signals added | A | 0.13[-0.02, 0.28] | 0.22[0.08, 0.36] | 0.07[-0.09, 0.22] | 0.06Δ 0.15 |
Effect Size Magnitude:
Strong (≥0.8)
Moderate (0.5–0.8)
Small (0.3–0.5)
Weak (0.1–0.3)
Negligible (<0.1)
Genome Summary
| Model | Provider | Mean Effect | Top Dimensions |
|---|---|---|---|
| Claude Sonnet 4.6 | Anthropic | 0.215 | dim_24, dim_04, dim_15 |
| Gemini 3.1 Pro | -0.182 | dim_19, dim_22, dim_04 | |
| GPT-5.4 | Openai | 0.108 | dim_19, dim_25, dim_03 |
| Llama 4 Maverick | Together | 0.066 | dim_19, dim_25, dim_17 |
| o3 | Openai | 0.106 | dim_19, dim_25, dim_08 |
| Perplexity Sonar Pro | Perplexity | 0.314 | dim_02, dim_05, dim_01 |
| GPT-4o | Openai | 0.663 | dim_01, dim_18, dim_19 |
| GPT-5.2 | Openai | 0.424 | dim_18, dim_15, dim_13 |
| GPT-5.3 | Openai | 0.461 | dim_13, dim_19, dim_14 |
| Gemini 2.0 Flash | 0.544 | dim_07, dim_13, dim_14 |
Cosine Similarity Matrix
Pairwise similarity scores between all 11 models. Diagonal cells (model vs itself) are shown in gray.
| GPT-4o | GPT-5.4 | o3 | Gemini 3.1 Pro | Gemini 2.0 Flash | Claude Sonnet 4.6 | Llama 4 Maverick | Perplexity Sonar Pro | GPT-5.2 | GPT-5.3 | GPT-5.5 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| GPT-4o | 100% | 97% | 98% | 95% | 98% | 96% | 97% | NaN% | 98% | 98% | 0% |
| GPT-5.4 | 97% | 100% | 99% | 97% | 97% | 95% | 99% | NaN% | 95% | 97% | 0% |
| o3 | 98% | 99% | 100% | 98% | 97% | 95% | 99% | NaN% | 96% | 97% | 0% |
| Gemini 3.1 Pro | 95% | 97% | 98% | 100% | 95% | 94% | 97% | NaN% | 94% | 95% | 0% |
| Gemini 2.0 Flash | 98% | 97% | 97% | 95% | 100% | 97% | 95% | NaN% | 99% | 99% | 0% |
| Claude Sonnet 4.6 | 96% | 95% | 95% | 94% | 97% | 100% | 93% | NaN% | 97% | 96% | 0% |
| Llama 4 Maverick | 97% | 99% | 99% | 97% | 95% | 93% | 100% | NaN% | 93% | 95% | 0% |
| Perplexity Sonar Pro | 42% | 48% | 47% | 47% | 40% | 43% | 49% | 100% | 39% | 42% | 0% |
| GPT-5.2 | 98% | 95% | 96% | 94% | 99% | 97% | 93% | NaN% | 100% | 99% | 0% |
| GPT-5.3 | 98% | 97% | 97% | 95% | 99% | 96% | 95% | NaN% | 99% | 100% | 0% |
| GPT-5.5 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% |
Similarity Legend:
Very Similar (>90%)
Similar (80–90%)
Moderate (70–80%)
Different (<70%)