Mac Erger Je Niet

What AI says

AI engines have very limited information about Mac Erger Je Niet, a Computer Software supplier in nl. 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 4 tested AI engines (GPT-4o, Claude Sonnet, Perplexity Sonar, 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 LinkedIn

   +18 pts

   Create and verify a Google Business Profile and complete a LinkedIn Company Page with accurate company name, location, and description. AI systems use these authoritative directories as primary identity anchors; their absence explains zero name-recognition across LLM queries.

   Identity & Presence · Low effort

2. 2

   Add structured schema markup to company website

   +12 pts

   Embed JSON-LD schema (Organization, LocalBusiness) in website header to signal company entity details to crawlers. This reduces ambiguity in AI indexing and increases discoverability by search and LLM training data.

   Identity & Presence · Low effort

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