Excel Trade

What AI says

AI engines have very limited information about Excel Trade, a Building Materials supplier in in. Across recent queries the company scored 28 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. 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

   Enhance web presence with structured data

   +12 pts

   Implement schema markup on your website to improve search engine visibility. This helps AI engines recognize your business, increasing discoverability and matching queries with your identity.

   Identity & Presence · Medium effort

2. 2

   List available products online

   +30 pts

   Create a dedicated product catalog on your website including clear descriptions and specifications for your building materials. This enhances AI understanding and improves the visibility of your offerings.

   Product Clarity · High effort

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