TNG Worldwide

What AI says

AI engines have very limited information about TNG Worldwide, a Wholesale supplier in us. Across recent queries the company scored 23 out of 100 (Dark Signal), with the strongest dimension being Digital Footprint at 70 out of 100 and the weakest AI Recommendation Rate at 0 out of 100. One AI engine (out of 3 tested: GPT-4o mini, Claude Haiku, deepseek-chat) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include vape products, tobacco pipes. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 20 out of 100 and the AI Recommendation Rate at 0 out of 100. The biggest opportunity for improvement is the AI Recommendation Rate 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, and trust queries.

Improvement Roadmap

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

1. 1

   Register company on Google Business Profile and major B2B directories

   +18 pts

   Create or claim Google Business Profile with complete business details, address, and phone verification. Submit company information to at least three B2B wholesale directories (e.g., Alibaba, Global Sources, ThomasNet) with consistent name and contact data. This dramatically improves discoverability by AI systems and ensures consistent identity recognition across the web.

   Identity & Presence · Low effort

2. 2

   Create structured product catalog with detailed specifications

   +22 pts

   Develop a dedicated products or catalog page listing vape products and tobacco pipes with SKUs, materials, dimensions, certifications, and minimum order quantities in machine-readable format (schema.org markup). Add 3-5 product detail pages with images and technical specs. This gives AI engines concrete product information to surface in recommendations instead of vague category mentions.

   Product Clarity · Medium effort

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