Mobile Active

What AI says

AI engines have very limited information about Mobile Active, a Electronics supplier in ca. Across recent queries the company scored 8 out of 100 (Dark Signal), with the strongest dimension being Digital Footprint at 50 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 with Google Business Profile and claim existing listings

   +18 pts

   AI systems cannot find Mobile Active by name across search engines. Create or claim a Google Business Profile, update it with accurate company name, phone, address, and website. Submit the company to at least three B2B directories (LinkedIn Company Page if not present, ThomasNet, Alibaba or equivalent electronics supplier directories). This establishes foundational discoverability that all downstream visibility depends on.

   Identity & Presence · Low effort

2. 2

   Publish structured product catalog with specifications on website

   +22 pts

   AI found no specific products associated with Mobile Active. Create a dedicated Products or Solutions page listing each electronics product category (e.g., mobile accessories, chargers, cables) with 2-3 key specifications per product, SKU, availability status, and materials. Use HTML schema markup (Schema.org Product type) to make product data machine-readable. This directly enables AI recommendation systems to match buyer queries to your inventory.

   Product Clarity · Medium effort

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