DesignLight

What AI says

AI engines have very limited information about DesignLight, a Consumer Services supplier in us. 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 3 tested AI engines (GPT-4o mini, Claude Haiku, 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 claim existing listings

   +18 pts

   Create or claim your Google Business Profile and ensure Name, Address, Phone are consistent across Google, Yelp, and Apple Maps. This is the primary source AI engines use for basic company discovery and verification. Without it, LLMs cannot reliably locate you by name.

   Identity & Presence · Low effort

2. 2

   Add structured schema markup to website homepage

   +14 pts

   Implement Organization schema (schema.org/Organization) in your website HTML with company name, logo, contact info, and service area. This helps search engines and AI systems understand and index your business identity correctly.

   Identity & Presence · Low effort

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