AI systems are no longer passive tools.
They actively participate in product discovery, comparison, summarization, and recommendation.
When users ask:
- “What’s the best portable water filter for camping?”
- “Which brand is more reliable?”
- “What product should I buy for my use case?”
AI systems generate answers based on how well they understand products, not on seller intentions.
The problem for sellers:
- AI decision logic is largely invisible.
- There is no standard metric showing whether a product is AI-ready.
- Sellers often don’t know why AI mentions competitors but ignores them.
DuoScore exists to solve this gap.
It provides:
- A visible, comparable signal of AI-readiness
- A way to identify whether a product is understandable by AI
- A reference point for improving AI-facing product quality
In short:
If AI influences buying decisions, sellers need a way to see how AI “sees” their products.