FROSTIN

What AI says

AI engines have very limited information about FROSTIN, a Information Technology supplier in mx. Across recent queries the company scored 0 out of 100 (Dark Signal), with the strongest dimension being AI Recommendation Rate at 0 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 FROSTIN on LinkedIn and major B2B directories

   +20 pts

   Create a LinkedIn company page with complete profile including headquarters location (Mexico), employee count, and company description. Simultaneously register on Clutch, G2, and at least two Mexico-specific B2B directories. AI discovery engines crawl these platforms to build initial company recognition. Without presence on these foundational channels, visibility remains at zero.

   Identity & Presence · Low effort

2. 2

   Document and publish core service offerings on website and schema markup

   +18 pts

   Create a dedicated Services or Solutions page listing specific IT services FROSTIN provides (e.g., software development, infrastructure management, consulting). Add JSON-LD schema markup (Service schema) to the homepage and services pages so AI engines extract structured product/service data. Currently AI has zero product information; explicit documentation is required for recommendation algorithms to function.

   Product Clarity · Medium effort

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