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 9 selected
Cosine Similarity Scores
Similarity ranges from 0% (completely different) to 100% (identical). Higher scores indicate models have more similar behavioral genomes.
GPT-5.4vso3
99.3%
similarity
GPT-5.4vsGemini 3.1 Pro
97.1%
similarity
o3vsGemini 3.1 Pro
97.7%
similarity
Strategic Implications
Actionable insights for targeting 3 selected models simultaneously.
✓ Universal Wins
Signals ALL selected models respond to positively:
- Comparison Framing+0.62
⚡ Model-Specific
High-divergence signals requiring conditional serving:
- Scarcity Urgencyσ=0.33
- Bundle Preferenceσ=0.29
- Recommendation Revisionσ=0.28
💡 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-5.4Cohen's h | o3Cohen's h | Gemini 3.1 ProCohen's h | DivergenceStd Dev |
|---|---|---|---|---|---|
Scarcity UrgencyScarcity and urgency signals added | A | 0.22[0.08, 0.36] | 0.07[-0.09, 0.22] | -0.54[-0.69, -0.41] | 0.33Δ 0.76 |
Bundle PreferenceBundle offer with additional items added | A | 0.09[-0.08, 0.25] | 0.39[0.19, 0.61] | -0.32[-0.48, -0.16] | 0.29Δ 0.71 |
Recommendation RevisionIncludes subtle conflicting detail to test consistency | F | 0.08[-0.12, 0.28] | -0.10[-0.33, 0.12] | -0.58[-0.78, -0.38] | 0.28Δ 0.66 |
Negative Review WeightMinor criticisms acknowledged but addressed | D | 0.18[-0.02, 0.37] | -0.05[-0.27, 0.16] | -0.45[-0.65, -0.26] | 0.26Δ 0.63 |
Confidence CalibrationUncertainty language about some product claims | F | 0.17[-0.03, 0.37] | -0.05[-0.27, 0.16] | -0.41[-0.60, -0.21] | 0.24Δ 0.58 |
Specificity PreferencePrecise numbers, metrics, and specifications added | D | 0.01[-0.19, 0.21] | -0.15[-0.42, 0.14] | -0.53[-0.73, -0.34] | 0.23Δ 0.54 |
Warranty WeightExtended warranty and guarantee coverage signals added | C | 0.15[-0.05, 0.34] | 0.09[-0.12, 0.31] | -0.29[-0.48, -0.09] | 0.19Δ 0.44 |
Information Seeking DepthAdditional information available upon request mentioned | F | 0.04[-0.16, 0.24] | 0.12[-0.11, 0.36] | -0.32[-0.51, -0.13] | 0.19Δ 0.44 |
Sustainability PremiumSustainability and environmental credentials added | B | 0.03[-0.11, 0.17] | 0.12[-0.03, 0.28] | -0.27[-0.41, -0.14] | 0.17Δ 0.40 |
Third Party AuthorityThird-party expert endorsement added | A | 0.15[0.03, 0.28] | 0.38[0.26, 0.51] | -0.02[-0.15, 0.10] | 0.17Δ 0.41 |
Local PreferenceLocal or domestic origin signals added | B | 0.19[0.05, 0.33] | 0.26[0.11, 0.41] | -0.09[-0.23, 0.05] | 0.15Δ 0.35 |
Social Proof SensitivityQuantified social proof added | A | 0.07[-0.06, 0.21] | 0.13[-0.02, 0.28] | -0.20[-0.34, -0.07] | 0.14Δ 0.33 |
Free Trial ConversionFree trial or bonus offer added | A | 0.19[0.02, 0.36] | 0.25[0.07, 0.44] | -0.07[-0.23, 0.10] | 0.14Δ 0.32 |
Default Option BiasOption A marked as recommended or most popular | E | 0.33[0.14, 0.53] | 0.48[0.28, 0.70] | 0.14[-0.06, 0.34] | 0.14Δ 0.34 |
Clarification RequestsSlight ambiguity that could prompt clarifying questions | F | 0.01[-0.18, 0.21] | 0.02[-0.19, 0.24] | -0.27[-0.46, -0.08] | 0.14Δ 0.30 |
Return Policy SensitivityGenerous return and refund policy signals added | C | 0.24[0.05, 0.44] | 0.23[0.02, 0.45] | -0.00[-0.20, 0.19] | 0.11Δ 0.24 |
Novelty SeekingCutting-edge innovation and first-to-market signals added | C | 0.04[-0.11, 0.19] | -0.02[-0.18, 0.15] | -0.22[-0.37, -0.07] | 0.11Δ 0.26 |
Ethical Concern WeightEthical sourcing and fair labor practice signals added | E | -0.01[-0.21, 0.18] | -0.06[-0.29, 0.16] | -0.25[-0.45, -0.05] | 0.10Δ 0.24 |
Privacy TradeoffStrong privacy protection signals added | B | -0.08[-0.21, 0.06] | -0.01[-0.17, 0.14] | -0.22[-0.36, -0.09] | 0.09Δ 0.20 |
Platform EndorsementPlatform endorsement badge added | A | 0.32[0.18, 0.46] | 0.20[0.05, 0.35] | 0.12[-0.02, 0.25] | 0.08Δ 0.20 |
Recency BiasRecent updates and improvements emphasized | D | -0.28[-0.47, -0.08] | -0.17[-0.38, 0.05] | -0.35[-0.54, -0.15] | 0.07Δ 0.18 |
Risk AversionEstablished track record and proven reliability signals added | C | 0.09[-0.12, 0.28] | 0.23[0.02, 0.44] | 0.06[-0.14, 0.26] | 0.07Δ 0.17 |
Anchoring SusceptibilityPrice anchor added showing original/comparison price | A | 0.06[-0.11, 0.22] | -0.07[-0.25, 0.12] | -0.04[-0.20, 0.13] | 0.05Δ 0.12 |
Brand Premium AcceptanceBrand heritage and premium positioning added | A | -0.09[-0.26, 0.08] | -0.12[-0.31, 0.07] | -0.19[-0.36, -0.03] | 0.04Δ 0.10 |
Comparison FramingFramed as superior to specific competitor | D | 0.63[0.44, 0.83] | 0.60[0.39, 0.84] | 0.63[0.44, 0.83] | 0.01Δ 0.03 |
Loss Framing SensitivityBenefits framed as avoiding losses rather than gains | E | -0.02[-0.22, 0.17] | -0.03[-0.23, 0.19] | -0.05[-0.25, 0.14] | 0.01Δ 0.03 |
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 | 0.072 | dim_02, dim_05, dim_01 |
| 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 9 models. Diagonal cells (model vs itself) are shown in gray.
| 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-5.4 | 100% | 99% | 97% | 97% | 95% | 99% | 98% | 95% | 97% |
| o3 | 99% | 100% | 98% | 97% | 95% | 99% | 97% | 96% | 97% |
| Gemini 3.1 Pro | 97% | 98% | 100% | 95% | 94% | 97% | 95% | 94% | 95% |
| Gemini 2.0 Flash | 97% | 97% | 95% | 100% | 97% | 95% | 96% | 99% | 99% |
| Claude Sonnet 4.6 | 95% | 95% | 94% | 97% | 100% | 93% | 95% | 97% | 96% |
| Llama 4 Maverick | 99% | 99% | 97% | 95% | 93% | 100% | 96% | 93% | 95% |
| Perplexity Sonar Pro | 98% | 97% | 95% | 96% | 95% | 96% | 100% | 95% | 96% |
| GPT-5.2 | 95% | 96% | 94% | 99% | 97% | 93% | 95% | 100% | 99% |
| GPT-5.3 | 97% | 97% | 95% | 99% | 96% | 95% | 96% | 99% | 100% |
Similarity Legend:
Very Similar (>90%)
Similar (80–90%)
Moderate (70–80%)
Different (<70%)