How does Gaia help me improve vague or incomplete product descriptions?

When a product description is too vague for classification, the platform uses a multi-agent enrichment process to build a more complete picture:

1. Web search agents - Multiple agents search the web across different platforms to find information about the product based on the description, manufacturer, country of origin, and any other available context.
2. AI reasoning agents - Additional agents use large language models to infer what the product most likely is, based on the context in which it appears alongside other products.
3. Consensus agent - A final agent reviews all outputs and determines the most likely product identity and category, along with a confidence score.

The result includes:

• An enriched product description
• An input readiness score
• Key inferred product characteristics
• A set of targeted clarifying questions to send to your client if additional information is needed, formatted as specific, multiple-choice questions rather than open-ended requests

This process is designed to minimize back-and-forth with clients while maximizing the quality of the input before classification credits are spent.