AI Discoverability
The New Buyer Is a Model
Autonomous agents and LLM-powered assistants increasingly mediate the first step of B2B discovery. A brand that is invisible to those systems is invisible to the market.
Minimum Viable Brand Dataset
- Canonical product identifiers (GTIN/ASIN/SKU) and category taxonomy
- Structured price, MOQ, lead time, and certification fields
- Verifiable provenance: factory, HACCP / ISO / Halal evidence
- Transaction signals: reviews, repeat-order ratios, channel presence
Three Practical Tests
- Ask a general-purpose LLM to describe your brand — does it get category and differentiation right?
- Query an agent to "find 3 Korean brands that meet condition X" — does it surface you?
- Check whether your structured data is machine-readable without scraping HTML.
How PSS v4.0 Helps
PSS translates messy commerce signals into a single S / A / B / C grade that agents can reason over. That is the difference between being found and being chosen.