Geographic Bias in LLM Company Descriptions
LLMs show significant geographic bias in company descriptions. US-based companies receive 40% more detailed and accurate AI descriptions than companies in other regions, even controlling for company size.
Study methodology
- 200 companies: 50 US, 50 EU, 50 Asia, 50 other regions.
- Matched by industry and company size (revenue, employees).
- Evaluated AI descriptions for: detail level, accuracy, recency.
Bias findings
- US companies: average 4.2/5 description quality.
- EU companies: average 3.4/5 description quality.
- Asia companies: average 2.9/5 description quality.
- Other regions: average 2.3/5 description quality.
- Gap closes to <0.5 points when companies publish structured profiles.
Mitigation
- Non-US companies benefit disproportionately from publishing canonical profiles.
- English-language structured data is essential even for non-English-market companies.
- Multi-language profile publishing further reduces geographic bias.
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