Mad Rabbit

What AI says

AI engines recognize Mad Rabbit, a Consumer Goods supplier in us. Across recent queries the company scored 62 out of 100 (Moderate Signal), with the strongest dimension being Identity and Presence at 100 out of 100 and the weakest Buyer Trust at 0 out of 100. 2 AI engines (out of 4 tested: GPT-4o, Claude Sonnet, Perplexity Sonar, deepseek-chat) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include tattoo balm, aftercare products, sunscreen. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 0 out of 100 and the AI Recommendation Rate at 50 out of 100. The Improvement Roadmap below outlines how to close remaining gaps and push every dimension toward Strong Signal.

AI engine breakdown

One row per AI engine. Aggregates identity, sourcing, trust, and verdict queries.

Improvement Roadmap

Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.

1. 1

   Publish ISO 9001 certification if applicable

   +30 pts

   Demonstrating compliance with ISO 9001 can enhance credibility and instill buyer confidence in your manufacturing processes. This will significantly improve trust signals as buyers seek reliable suppliers with recognized certifications.

   Buyer Trust Signals · Medium effort

2. 2

   Implement structured data for product and service offerings

   +25 pts

   Add schema markup to your website for products and services to ensure AI can accurately recognize and recommend your offerings. This enhances your visibility in AI-generated suggestions and boosts your recommendation rate.

   AI Recommendation Rate · High effort

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