CLIMA FIRE SL

What AI says

AI engines have very limited information about CLIMA FIRE SL, a Industrial Services supplier in es. 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 2 tested AI engines (GPT-4o mini, Claude Haiku) 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 LinkedIn and major B2B directories

   +18 pts

   Create a verified LinkedIn company page and register on Kompass, Europages, and ThomasNet. AI engines rely on these platforms for basic company discovery and credibility checks. This directly addresses the 0/100 identity score and ensures AI can consistently locate and reference the company.

   Identity & Presence · Low effort

2. 2

   Add structured product/service schema markup to website

   +16 pts

   Implement Schema.org Product and LocalBusiness markup on homepage and service pages, explicitly naming fire safety, industrial safety systems, or primary service lines. AI engines parse schema data to understand offerings; without it, they cannot recommend specific products to buyers.

   Product Clarity · Medium effort

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