Filosovino

What AI says

AI engines have very limited information about Filosovino, a Building Materials supplier in be. 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, 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 Filosovino on Google Business Profile and industry directories

   +18 pts

   Create and verify a Google Business Profile with complete company details, address, and phone number. Simultaneously register on BuildersXL, GlobalSpec, and Architonic (major construction materials directories). This establishes baseline discoverability so AI engines can locate the company by name, directly addressing the 0/4 find-by-name failure.

   Identity & Presence · Low effort

2. 2

   Document and publish product categories with material specifications

   +16 pts

   Create a structured products page listing material types (e.g., flooring systems, acoustic panels, insulation, finishes) with technical specifications, applications, and finishes available. Use schema.org Product markup on each listing. AI systems currently mention zero products; explicit categorization with searchable attributes will enable AI recommendation matching.

   Product Clarity · Medium effort

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