Latent Space has developed a "Frontier AEO Tracker" to analyze the recommendations of various AI models across 161 categories. The tracker uses a proprietary score that weighs first choices, alternative choices, and negative weights for anti-recommendations. It also identifies top cited sources influencing these recommendations and analyzes common failures. The analysis revealed model biases, such as Claude Code favoring Opus and Sol favoring Codex, and noted differences in search behavior between model generations, with Anthropic's models showing varied source-searching tendencies. AI
IMPACT Provides insights into AI model biases and recommendation patterns, useful for understanding model behavior and development trends.
RANK_REASON This is an analysis and methodology piece from a third-party publication, not a direct release from a frontier lab.
- AmplifyingAI
- Anthropic
- Astra
- Claude Code
- Codex
- Cursor+
- Devin
- Grok
- Latent Space
- Muse
- Muse Code
- Opus
- Sol
- SWE-1.7
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