APP HOUSE, JUAN IGNACIO AHANDUNI

What AI says

AI engines have very limited information about APP HOUSE, JUAN IGNACIO AHANDUNI, a Electronics Retail supplier in ar. Across recent queries the company scored 19 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. One AI engine (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-chat) returned substantive information about the company across identity, sourcing, and trust prompts. No specific products were surfaced by AI engines for this supplier, which contributes directly to the Product Clarity dimension at 10 out of 100. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 20 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

   Create LinkedIn Company Profile

   +12 pts

   Set up a LinkedIn company profile to enhance your online presence and improve discoverability. This can help ensure that AI engines can find and recommend your business more effectively.

   Identity & Presence · Low effort

2. 2

   List Core Product Offerings on Website

   +10 pts

   Clearly list your core product offerings on your website to improve transparency and provide AI engines with more information to work with. This clarity can help boost your visibility in AI recommendations.

   Product Clarity · Medium effort

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