Understanding AI Provider Recommendations in Local Service Markets
When someone asks an AI assistant which doctor to see or which firm to trust with their savings, the answer is a referral. We audit AI provider recommendations in four registry-backed service domains across the 100 largest U.S. metropolitan areas, matching every recommendation against the official registry for its domain (Medicare clinician and facility records, and SEC adviser disclosures), under three conditions: an open-weight model, a proprietary model without web search, and the same proprietary model with search. Without search, both models largely fabricate recommendations in the domains the web covers thinly. Only 4% of the open-weight model's recommended doctors and 11% of the pr...
| Authors | Hazem Ibrahim, Yasir Zaki |
|---|---|
| Primary category | cs.CY |
| Published | 16 September 2026 |
| Last updated at source | 16 September 2026 |
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