The Science Behind the Scores
Gustoso uses Semantic Similarity Rating (SSR), a peer-reviewed methodology that achieves 90% of human panel reliability — without recruiting a single respondent.
Based on Maier et al., 2025 — developed at PyMC Labs
Why not just ask AI to rate things?
Traditional consumer panels take weeks and cost tens of thousands of dollars. But simply asking AI to “rate this product 1 to 5” doesn’t work either — language models default to safe, middle-of-the-road answers that tell you nothing useful.
SSR solves both problems. Developed by researchers at PyMC Labs, it extracts genuine preference signals from AI by measuring what they say, not what number they pick.
How SSR Works
Four steps from creative upload to actionable scores
- 01Generate Personas
- 02Elicit Reactions
- 03Embed & Compare
- 04Convert to Ratings
1. Generate Personas
2. Elicit Free-Text Reactions
3. Embed & Compare
4. Convert to Ratings
What You Get
Purchase Intent Distributions
Demographic Breakdowns
Qualitative Themes
Where It Works Best
SSR accuracy correlates with how much real consumer language exists for a category.
High confidence
CPG, personal care, food & beverage, consumer electronics, apparel
Abundant consumer language online
Medium confidence
B2B SaaS, luxury goods, healthcare
Less consumer discussion data to draw from
Low confidence
Industrial equipment, agricultural inputs
Limited online consumer discourse
What This Isn’t
Gustoso is not a replacement for large-scale quantitative research.
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