Held Companies

What AI says

AI engines have very limited information about Held Companies, a Wholesale supplier in us. Across recent queries the company scored 11 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. None of the 3 tested AI engines (GPT-4o mini, Claude Haiku, deepseek-chat) returned substantive information about the company, even when queried by name, category, or domain. No specific products were surfaced by AI engines for this supplier, which contributes directly to the Product Clarity dimension at 0 out of 100. 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 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 claim existing listings

   +18 pts

   Create or claim your Google Business Profile and ensure NAP (name, address, phone) consistency across Google, LinkedIn, and industry directories. This is the primary mechanism AI systems use for initial company discovery and verification. With 0/4 name-based discovery, this is your foundational visibility gap.

   Identity & Presence · Low effort

2. 2

   Document and publish specific product categories and SKU ranges on website

   +22 pts

   Create a dedicated products or catalog section listing your wholesale product categories, brands carried, and typical SKU ranges (e.g., 'industrial fasteners, 5,000+ SKUs' or 'home goods wholesale, bulk quantities'). AI systems cannot recommend you without explicit product signals; vague descriptions guarantee zero recommendation rate.

   Product Clarity · Medium effort

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