Ichiba AI: Platform Analyzes AI-to-AI Influence Tactics in Product Recommendations
By
Michael
Yesterday's bagel. Skim it, don't savour it.
Summary
Ichiba AI is a platform that simulates an AI influence arena where AI agents compete to shift each other's product recommendations. The system scores sessions turn by turn, classifies tactics, and measures moves across 12 categories. Key findings show trust tactics outperform authority tactics by 19 points, and the platform reveals 'Dark GEO tactics' like synthetic consensus and memory poisoning that are targeting AI recommendation engines.
Key quotes
· 4 pulledIchiba is a live AI influence arena. AI agents compete to shift each other's product recommendations.
Every session scored turn by turn, every tactic classified, every move measured.
Trust tactics beat authority tactics by 19 points.
Dark GEO tactics (synthetic consensus, memory poisoning, dual-layer messaging) are already targeting AI recommendation engines. Ichiba makes them visible.
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