QUALISPORTS INC

What AI says

AI engines recognize QUALISPORTS INC, a Sporting 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 folding e-bikes, electric bicycles, nemo. 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 product certifications and compliance documentation

   +28 pts

   Upload scans of CE, FCC, UL, or relevant safety certifications for folding e-bikes and electric scooters to a dedicated Certifications page on your website. Link this page in your footer and product datasheets. AI systems and B2B buyers currently see zero trust signals; published third-party certifications directly address this gap.

   Buyer Trust Signals · Low effort

2. 2

   Add structured product schema markup for SKUs and specs

   +22 pts

   Implement schema.org/Product markup on product pages for your top SKUs (Nemo, Volador models). Include weight, motor power, battery capacity, range, and availability fields. This enables AI engines to extract and recommend products with confidence instead of relying on uncertain text parsing.

   AI Recommendation Rate · Medium effort

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