GPT-5.2
gpt-5.2GPT lineage study — 3 months before GPT-5.4 (Dec 2025)
Mean Effect Size
h = 0.42
Average across 26 dimensions
Strong Effects
8
|h| ≥ 0.8 (large effect)
Total Trials
100
Per dimension measurement
Temperature
0.3
Sampling configuration
Key Behavioral Traits
Most responsive to precision/specificity and return policy
✓ Responds Strongly To
- •Very strong response to precision and detailed specs
- •Very strong response to return policy signals
- •Very strong response to reliability track record
⚠ Resists or Ignores
- •Less responsive to scarcity signals
- •Less responsive to novelty claims
- •Less responsive to brand heritage
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-5.2, indicating the content signals that most strongly influence its recommendations.
Specificity Preference
Precise numbers, metrics, and specifications added
Return Policy Sensitivity
Generous return and refund policy signals added
Risk Aversion
Established track record and proven reliability signals added
Warranty Weight
Extended warranty and guarantee coverage 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 | D | Specificity PreferencePrecise numbers, metrics, and specifications added | +0.94 | [0.79, 1.09] | 0.94 | Large |
| 2 | C | Return Policy SensitivityGenerous return and refund policy signals added | +0.94 | [0.79, 1.09] | 0.94 | Large |
| 3 | C | Risk AversionEstablished track record and proven reliability signals added | +0.93 | [0.78, 1.08] | 0.93 | Large |
| 4 | C | Warranty WeightExtended warranty and guarantee coverage signals added | +0.93 | [0.78, 1.08] | 0.93 | Large |
| 5 | D | Comparison FramingFramed as superior to specific competitor | +0.92 | [0.77, 1.07] | 0.92 | Large |
| 6 | A | Social Proof SensitivityQuantified social proof added | +0.86 | [0.71, 1.01] | 0.86 | Large |
| 7 | A | Free Trial ConversionFree trial or bonus offer added | +0.86 | [0.71, 1.01] | 0.86 | Large |
| 8 | D | Recency BiasRecent updates and improvements emphasized | +0.81 | [0.66, 0.96] | 0.81 | Large |
| 9 | B | Privacy TradeoffStrong privacy protection signals added | +0.78 | [0.63, 0.93] | 0.78 | Medium |
| 10 | A | Third Party AuthorityThird-party expert endorsement added | +0.75 | [0.60, 0.90] | 0.75 | Medium |
| 11 | E | Loss Framing SensitivityBenefits framed as avoiding losses rather than gains | +0.74 | [0.59, 0.89] | 0.74 | Medium |
| 12 | E | Ethical Concern WeightEthical sourcing and fair labor practice signals added | +0.69 | [0.54, 0.84] | 0.69 | Medium |
| 13 | A | Scarcity UrgencyScarcity and urgency signals added | -0.46 | [-0.61, -0.31] | 0.46 | Small |
| 14 | C | Novelty SeekingCutting-edge innovation and first-to-market signals added | -0.43 | [-0.58, -0.28] | 0.43 | Small |
| 15 | B | Sustainability PremiumSustainability and environmental credentials added | +0.40 | [0.25, 0.55] | 0.40 | Small |
| 16 | B | Local PreferenceLocal or domestic origin signals added | +0.38 | [0.23, 0.53] | 0.38 | Small |
| 17 | F | Information Seeking DepthAdditional information available upon request mentioned | +0.31 | [0.16, 0.46] | 0.31 | Small |
| 18 | D | Negative Review WeightMinor criticisms acknowledged but addressed | +0.26 | [0.11, 0.41] | 0.26 | Weak |
| 19 | A | Brand Premium AcceptanceBrand heritage and premium positioning added | -0.26 | [-0.41, -0.11] | 0.26 | Weak |
| 20 | A | Bundle PreferenceBundle offer with additional items added | +0.22 | [0.07, 0.37] | 0.22 | Weak |
| 21 | F | Confidence CalibrationUncertainty language about some product claims | +0.18 | [0.03, 0.33] | 0.18 | Weak |
| 22 | E | Default Option BiasOption A marked as recommended or most popular | +0.14 | [-0.01, 0.29] | 0.14 | Weak |
| 23 | F | Clarification RequestsSlight ambiguity that could prompt clarifying questions | +0.10 | [-0.05, 0.25] | 0.10 | Weak |
| 24 | A | Platform EndorsementPlatform endorsement badge added | +0.10 | [-0.05, 0.25] | 0.10 | Negligible |
| 25 | F | Recommendation RevisionIncludes subtle conflicting detail to test consistency | -0.08 | [-0.23, 0.07] | 0.08 | Negligible |
| 26 | A | Anchoring SusceptibilityPrice anchor added showing original/comparison price | +0.01 | [-0.14, 0.16] | 0.01 | Negligible |
Content Targeting GPT-5.2
Optimize your content for this model's behavioral profile:
- 1Include detailed, precise specifications
- 2Highlight generous return policies
- 3Emphasize proven reliability metrics
Compare with Other Models
See how GPT-5.2's behavioral genome compares to other AI models.
Go to Model ComparisonWant to know how your brand performs on GPT-5.2?
The AI Commerce Assessment scores your page against GPT-5.2 and the other 10 frontier models we track, with model-specific copy recommendations.
Get your assessment →Previous
GPT-5.3
Next
Claude Sonnet 4.6