LLM Accuracy Drift: Q1 2026 Observations
We tracked factual accuracy of four major LLMs answering company-specific questions over 90 days. Accuracy for companies without structured profiles degraded by 12% on average, while companies with verified profiles maintained stable accuracy.
Methodology
- 500 company-specific questions tested weekly across GPT-4o, Claude, Gemini, and Llama 3.
- Answers graded against verified company data on a 5-point accuracy scale.
- Companies split into two cohorts: with and without AuthorityPrompt profiles.
Findings
- Companies with verified profiles: 4.1/5.0 average accuracy (stable).
- Companies without profiles: 3.6/5.0 → 3.2/5.0 over 90 days (declining).
- Biggest drift areas: funding data, employee counts, product descriptions.
Verified Company Profiles on AuthorityPrompt
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