Viva

What AI says

AI engines have very limited information about Viva, a IT Services supplier in eg. 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 Google Business Profile and LinkedIn with consistent details

   +18 pts

   AI systems found Viva 0 out of 5 times by name, indicating minimal web discoverability. Create or claim a Google Business Profile and complete a LinkedIn Company page with accurate service descriptions, location, and contact information. This establishes foundational entity recognition that AI engines use to identify and recommend your company.

   Identity & Presence · Low effort

2. 2

   Document IT service offerings with structured schema markup on website

   +16 pts

   AI found no specific products or services mentioned. Add schema.org Service markup to your website listing core IT service categories (e.g., managed services, consulting, infrastructure). Include service descriptions, target industries, and key capabilities in both human-readable and machine-readable formats so AI engines can extract and recommend specific offerings.

   Product Clarity · Medium effort

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