Rock François

What AI says

AI engines have very limited information about Rock François, a Other Services supplier in be. Across recent queries the company scored 11 out of 100 (Dark Signal), with the strongest dimension being Digital Footprint at 70 out of 100 and the weakest AI Recommendation Rate at 0 out of 100. None of the 2 tested AI engines (GPT-4o, Claude Sonnet) 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 LinkedIn

   +18 pts

   Create and verify a Google Business Profile for Rock François with complete company information, service categories, and location. Establish a LinkedIn Company page with current description and employee directory. AI discovery engines use these platforms as primary verification sources; current 0/4 name-finding rate indicates absence from major directories.

   Identity & Presence · Low effort

2. 2

   Publish certified service list with v19, v18, v17 designations

   +16 pts

   Create a dedicated Services or Certifications page listing all three certified versions (v19, v18, v17) with scope descriptions and credential links. LLMs currently mention zero products despite certifications being on file; explicit web presence of these qualifications will enable AI systems to surface them in recommendation contexts.

   Product Clarity · Low effort

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