Sumei Express

What AI says

AI engines have very limited information about Sumei Express, a Logistics supplier in us. Across recent queries the company scored 5 out of 100 (Dark Signal), with the strongest dimension being Digital Footprint at 30 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, 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

   Register company on Google Business Profile and major logistics directories

   +18 pts

   Create or claim a Google Business Profile with complete company details, phone, and service area. Simultaneously register on FreightCenter, Logisticsgems, and the National Motor Freight Traffic Association directory. These are primary discovery sources for B2B logistics buyers and AI crawlers; zero registrations explain why LLMs found the company in zero of five attempts.

   Identity & Presence · Low effort

2. 2

   Document and publish core logistics services with specific capabilities

   +16 pts

   Add a detailed Services page listing exact offerings (e.g., FTL, LTL, hazmat, temperature control, regional lanes served). Include geographic coverage, vehicle types, and handling certifications. AI systems currently have zero product data; structured service documentation will populate recommendation systems and distinguish Sumei from generic competitors.

   Product Clarity · Medium effort

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