ichi-bike

What AI says

AI engines have a partial picture of ichi-bike, a Sporting Goods supplier in us. Across recent queries the company scored 46 out of 100 (Weak Signal), with the strongest dimension being Product Clarity at 80 out of 100 and the weakest Buyer Trust at 0 out of 100. One AI engine (out of 3 tested: GPT-4o, Claude Sonnet, Perplexity Sonar) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include custom builds, electric conversions, vintage bicycle repair. 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 30 out of 100. The biggest opportunity for improvement is the Buyer Trust dimension; the Improvement Roadmap below lists concrete supplier-executable actions ranked by expected score uplift.

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 customer reviews and testimonials on website

   +28 pts

   Add a dedicated reviews section featuring customer testimonials, repair case studies, or conversion success stories with dates and customer names (with permission). This directly addresses the 0/100 trust signal score and signals reliability to B2B buyers and AI systems evaluating vendor credibility.

   Buyer Trust Signals · Low effort

2. 2

   Create structured product pages with schema markup for each service category

   +22 pts

   Add schema.org LocalBusiness and Service markup to pages covering custom builds, electric conversions, vintage repair, and electric kits. Include pricing ranges, turnaround times, and technical specifications. This helps AI engines index and recommend specific services rather than generic categories.

   AI Recommendation Rate · Medium effort

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