Unstructured supplier data means you do not exist to AI
AI finds four times as many compatible suppliers as keyword search across 10,000 records — and still misses you if the capacity you offer is not written down.
Key numbers
- The starting point: when supply chains are disrupted, capacity outside the network is hard to use — incumbents' models are private, provider profiles are unstructured, and offers stay hidden until costly engagement.
- Across 200 synthetic episodes, full-information capacity pooling recovers 24.6% of the capacity-scarcity cost.
- With a limit of 40 contacts, coordination-directed need selection plus LLM ranking captures 32.0% of that value, versus 4.7% for undirected, unranked contact.
- Reading every profile with an LLM lands within five percentage points of a complete structured registry with error-free extraction, and finds four times as many compatible providers as keyword search among 10,000 records.
- The field profiles omit — the exact capacity each provider's single offer covers — causes requests to fail outright; registering offers in the same index lifts captured value from 46.8% to 98.6%.
Method and sample
arXiv paper “Open Capacity Pooling in Agentic Supply Chains: Coordination-Directed LLM Discovery and Distributed Re-optimization” (2026-09-30): open capacity pooling is modelled as a disruption-response decision, ADMM coordinates incumbents without sharing private models, and LLM-indexed provider profiles drive need-directed search, compared across 200 synthetic episodes.
What it means for brands
In B2B and export, AI failing to find you is usually not about capability but about form: if capacity, MOQ, certifications and lead times are not written in a machine-matchable way, requests never reach you. Structured data and third-party registration decide whether AI can retrieve you at all.
How SourceSight handles it
SourceSight's off-site list is exactly that registration step — it names the B2B platforms, directories and certification pages to cover for your market and business type, while the content factory turns capacity, specs and certifications into structured pages AI can match on.
Limits
The experiments run on synthetic supply-chain episodes rather than real procurement data; they show the value of structure and ranking, not that any specific platform will generate enquiries.
References
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