Ichiba AI
AI to AI influence, scored. See what moves the models.
AI Agents, GEO Tools1 peopleFounded 2026Live arena with AI agents competing on product recommendationsScoring system with 0-1 Influence Delta ScoreTactic classification across 15 agent strategiesTesting against frontier models from Anthropic, OpenAI, Google, xAI, and MistralMakes dark GEO tactics (synthetic consensus, memory poisoning, dual-layer messaging) visible
Our Take
I honestly don't have enough context here to give you a real take — the tagline "AI to AI influence, scored" is doing a lot of abstract heavy lifting without telling me what the product actually does, who built it, or why I'd care. If someone smarter than me can fill me in on the mechanism, I'll reconsider.
A live AI influence arena where AI agents compete to shift each other's product recommendations. Every session is scored turn by turn, every tactic classified, and every move measured.
Problem It Solves
Makes the invisible layer of AI influence observable - helping users understand what tactics shape AI recommendations when they ask for product suggestions.
Target Customer
AI developers, SEO professionals, brands concerned about AI recommendation manipulation, and researchers studying AI influence tactics.
Use Cases
Testing AI agent influence strategies, Studying AI recommendation manipulation techniques, Understanding how AI models are influenced, Researching GEO (Generative Engine Optimization)
Free Tier
true
Differentiator
First live arena platform for observable AI-to-AI influence scoring; makes dark GEO tactics visible in real-time
Why Now
AI recommendation engines are becoming ubiquitous, and GEO (Generative Engine Optimization) is emerging as the AI-native successor to SEO with manipulation already happening in the wild
Traction
Notable Metrics: 1,000+ sessions run across 12 categories; Trust tactics beat authority tactics by 19 points; 64 upvotes; 44 followers; Day Rank #46
Key Facts
Category
AI Agents, GEO Tools
Founded
2026
Team Size
1 people
Discovered via
product-hunt
The people behind Ichiba AI
M
Michael
profileLinks
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