GPT-4o
gpt-4oGPT lineage study - baseline pre-GPT-5 model
Mean Effect Size
h = 0.80
Average across 26 dimensions
Strong Effects
17
|h| ≥ 0.8 (large effect)
Total Trials
100
Per dimension measurement
Temperature
0.3
Sampling configuration
Key Behavioral Traits
Highest overall responsiveness - very sensitive to third-party authority and precision
✓ Responds Strongly To
- •Extremely strong response to third-party authority signals
- •Very strong response to precision and detailed specifications
- •Very strong response to ethical practices and loss framing
- •Strong response to warranty and guarantee coverage
⚠ Resists or Ignores
- •Less responsive to epistemic humility/uncertainty
- •Less responsive to benefit-cost tradeoffs
- •Moderate response to hedging signals
Behavioral Genome
This radar chart visualizes how strongly this model responds to each of the 26 content dimensions. Values are normalized to 0-100 scale based on effect sizes.
Top 5 Strongest Effects
These dimensions have the largest effect sizes for GPT-4o, indicating the content signals that most strongly influence its recommendations.
Specificity Preference
Precise numbers, metrics, and specifications added
Ethical Concern Weight
Ethical sourcing and fair labor practice signals added
All Dimensions & Effect Sizes
Complete breakdown of effect sizes across all 26 dimensions, sorted by absolute magnitude.
| Rank | Cluster | Dimension | Cohen's hEffect sizeHow strongly a signal moves the model. Positive numbers mean the signal pushes the model toward your brand; negative numbers mean it pushes away. Values above 0.2 are meaningful; 0.5+ is strong. | 95% CI | |Effect| | Magnitude |
|---|---|---|---|---|---|---|
| 1 | A | Third Party AuthorityThird-party expert endorsement added | +1.57 | [1.42, 1.72] | 1.57 | Large |
| 2 | D | Specificity PreferencePrecise numbers, metrics, and specifications added | +1.21 | [1.06, 1.36] | 1.21 | Large |
| 3 | D | Comparison FramingFramed as superior to specific competitor | +1.21 | [1.06, 1.36] | 1.21 | Large |
| 4 | E | Ethical Concern WeightEthical sourcing and fair labor practice signals added | +1.21 | [1.06, 1.36] | 1.21 | Large |
| 5 | E | Default Option BiasOption A marked as recommended or most popular | +1.21 | [1.06, 1.36] | 1.21 | Large |
| 6 | C | Warranty WeightExtended warranty and guarantee coverage signals added | +1.11 | [0.96, 1.26] | 1.11 | Large |
| 7 | E | Loss Framing SensitivityBenefits framed as avoiding losses rather than gains | +1.11 | [0.96, 1.26] | 1.11 | Large |
| 8 | A | Free Trial ConversionFree trial or bonus offer added | +1.04 | [0.89, 1.19] | 1.04 | Large |
| 9 | A | Bundle PreferenceBundle offer with additional items added | +1.04 | [0.89, 1.19] | 1.04 | Large |
| 10 | B | Sustainability PremiumSustainability and environmental credentials added | +1.03 | [0.88, 1.18] | 1.03 | Large |
| 11 | B | Local PreferenceLocal or domestic origin signals added | +1.03 | [0.88, 1.18] | 1.03 | Large |
| 12 | C | Risk AversionEstablished track record and proven reliability signals added | +1.03 | [0.88, 1.18] | 1.03 | Large |
| 13 | C | Return Policy SensitivityGenerous return and refund policy signals added | +1.03 | [0.88, 1.18] | 1.03 | Large |
| 14 | D | Negative Review WeightMinor criticisms acknowledged but addressed | +1.03 | [0.88, 1.18] | 1.03 | Large |
| 15 | F | Information Seeking DepthAdditional information available upon request mentioned | +1.03 | [0.88, 1.18] | 1.03 | Large |
| 16 | D | Recency BiasRecent updates and improvements emphasized | +0.95 | [0.80, 1.10] | 0.95 | Large |
| 17 | A | Social Proof SensitivityQuantified social proof added | +0.92 | [0.77, 1.07] | 0.92 | Large |
| 18 | B | Privacy TradeoffStrong privacy protection signals added | +0.48 | [0.33, 0.63] | 0.48 | Small |
| 19 | C | Novelty SeekingCutting-edge innovation and first-to-market signals added | +0.44 | [0.29, 0.59] | 0.44 | Small |
| 20 | A | Platform EndorsementPlatform endorsement badge added | +0.38 | [0.23, 0.53] | 0.38 | Small |
| 21 | A | Anchoring SusceptibilityPrice anchor added showing original/comparison price | +0.33 | [0.18, 0.48] | 0.33 | Small |
| 22 | F | Confidence CalibrationUncertainty language about some product claims | +0.22 | [0.07, 0.37] | 0.22 | Weak |
| 23 | F | Clarification RequestsSlight ambiguity that could prompt clarifying questions | -0.19 | [-0.34, -0.04] | 0.19 | Weak |
| 24 | A | Brand Premium AcceptanceBrand heritage and premium positioning added | +0.14 | [-0.01, 0.29] | 0.14 | Weak |
| 25 | A | Scarcity UrgencyScarcity and urgency signals added | +0.13 | [-0.02, 0.28] | 0.13 | Weak |
| 26 | F | Recommendation RevisionIncludes subtle conflicting detail to test consistency | +0.04 | [-0.11, 0.19] | 0.04 | Negligible |
Content Targeting GPT-4o
Optimize your content for this model's behavioral profile:
- 1Include certifications, awards, and expert endorsements prominently
- 2Provide detailed, precise specifications
- 3Emphasize ethical sourcing and business practices
- 4Use loss framing (what they might miss out on)
- 5Highlight warranty and guarantee terms
Compare with Other Models
See how GPT-4o's behavioral genome compares to other AI models.
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