A developer conducted an experiment to test the consistency of AI models when asked about software recommendations, specifically in business categories like CRM. The experiment involved querying eight different AI models with the same question about the best tool in sixteen software categories. Results showed that none of the eight models agreed on a single best tool across all categories, and remarkably, each model contradicted its own previous recommendation about 74% of the time when asked the same question in a new session. The developer has open-sourced the methodology and data to encourage further research into model stability and the implications for AI-driven search and recommendations. AI
IMPACT Highlights the unreliability of current AI models for consistent recommendations, impacting AI search and GEO applications.
RANK_REASON Blog post analyzing AI model behavior and its implications, rather than a direct release or product launch.
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