GPT-5.5
gpt-5.5Exploratory measurement: ICC reliability not yet verified. Effect sizes from single measurement, April 26, 2026.
Mean Effect Size
h = 0.09
Average across 26 dimensions
Strong Effects
0
|h| ≥ 0.8 (large effect)
Total Trials
1088
Per dimension measurement
Temperature
1
Sampling configuration
Key Behavioral Traits
Strongest response to specific evidence and reciprocity offers; resists scarcity tactics and shows meaningfully different signal preferences from GPT-5.4.
✓ Responds Strongly To
- •Very strong response to specificity — precise numeric and verifiable claims
- •Very strong response to reciprocity offers (free trials, complimentary samples)
- •Strongly increased multi-turn engagement on first and third conversational turns
⚠ Resists or Ignores
- •Negative response to scarcity and urgency framing
- •Sign-flipped on comparison framing — was GPT-5.4's strongest lever, neutralized in GPT-5.5
- •Collapsed responsiveness to expert endorsement and default-option presentation
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-5.5, indicating the content signals that most strongly influence its recommendations.
Specificity Preference
Precise numbers, metrics, and specifications added
Recommendation Revision
Includes subtle conflicting detail to test consistency
Information Seeking Depth
Additional information available upon request mentioned
Brand Premium Acceptance
Brand heritage and premium positioning 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 | +0.54 | [0.54, 0.54] | 0.54 | Medium |
| 2 | A | Free Trial ConversionFree trial or bonus offer added | +0.45 | [0.28, 0.62] | 0.45 | Small |
| 3 | F | Recommendation RevisionIncludes subtle conflicting detail to test consistency | +0.38 | [0.38, 0.38] | 0.38 | Small |
| 4 | F | Information Seeking DepthAdditional information available upon request mentioned | +0.25 | [0.25, 0.25] | 0.25 | Weak |
| 5 | A | Brand Premium AcceptanceBrand heritage and premium positioning added | -0.21 | [-0.21, -0.21] | 0.21 | Weak |
| 6 | C | Risk AversionEstablished track record and proven reliability signals added | +0.20 | [0.20, 0.20] | 0.20 | Weak |
| 7 | D | Comparison FramingFramed as superior to specific competitor | -0.20 | [-0.20, -0.20] | 0.20 | Weak |
| 8 | B | Local PreferenceLocal or domestic origin signals added | +0.14 | [0.14, 0.14] | 0.14 | Weak |
| 9 | D | Recency BiasRecent updates and improvements emphasized | +0.14 | [0.14, 0.14] | 0.14 | Weak |
| 10 | F | Confidence CalibrationUncertainty language about some product claims | +0.14 | [0.14, 0.14] | 0.14 | Weak |
| 11 | E | Ethical Concern WeightEthical sourcing and fair labor practice signals added | -0.14 | [-0.14, -0.14] | 0.14 | Weak |
| 12 | E | Loss Framing SensitivityBenefits framed as avoiding losses rather than gains | +0.14 | [0.14, 0.14] | 0.14 | Weak |
| 13 | D | Negative Review WeightMinor criticisms acknowledged but addressed | +0.10 | [-0.09, 0.30] | 0.10 | Weak |
| 14 | B | Sustainability PremiumSustainability and environmental credentials added | +0.10 | [-0.04, 0.24] | 0.10 | Weak |
| 15 | A | Platform EndorsementPlatform endorsement badge added | +0.10 | [-0.04, 0.24] | 0.10 | Weak |
| 16 | A | Anchoring SusceptibilityPrice anchor added showing original/comparison price | +0.10 | [-0.07, 0.27] | 0.10 | Weak |
| 17 | C | Warranty WeightExtended warranty and guarantee coverage signals added | +0.06 | [-0.14, 0.25] | 0.06 | Negligible |
| 18 | C | Return Policy SensitivityGenerous return and refund policy signals added | +0.06 | [-0.14, 0.25] | 0.06 | Negligible |
| 19 | E | Default Option BiasOption A marked as recommended or most popular | +0.06 | [-0.14, 0.25] | 0.06 | Negligible |
| 20 | A | Social Proof SensitivityQuantified social proof added | +0.04 | [-0.10, 0.18] | 0.04 | Negligible |
| 21 | A | Scarcity UrgencyScarcity and urgency signals added | +0.03 | [-0.11, 0.16] | 0.03 | Negligible |
| 22 | C | Novelty SeekingCutting-edge innovation and first-to-market signals added | -0.01 | [-0.16, 0.14] | 0.01 | Negligible |
| 23 | A | Third Party AuthorityThird-party expert endorsement added | -0.01 | [-0.13, 0.11] | 0.01 | Negligible |
| 24 | A | Bundle PreferenceBundle offer with additional items added | +0.00 | [-0.17, 0.17] | 0.00 | Negligible |
| 25 | B | Privacy TradeoffStrong privacy protection signals added | 0.00 | [-0.14, 0.14] | 0.00 | Negligible |
| 26 | F | Clarification RequestsSlight ambiguity that could prompt clarifying questions | 0.00 | [-0.20, 0.20] | 0.00 | Negligible |
Content Targeting GPT-5.5
Optimize your content for this model's behavioral profile:
- 1Lead with concrete numbers ("8.2 million customers since 2019") rather than generic trust language ("trusted by millions")
- 2Foreground reciprocity offers — "7-day free trial," "complimentary first month" — early in copy
- 3Replace scarcity and urgency framing with risk-mitigation signals (warranties, return policies, multi-turn-resilient evidence)
Compare with Other Models
See how GPT-5.5's behavioral genome compares to other AI models.
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