Tidy Haus

What AI says

AI engines have very limited information about Tidy Haus, a Building Materials supplier in us. Across recent queries the company scored 22 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 3 tested: GPT-4o, Claude Sonnet, 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

   Publish company profile on LinkedIn

   +12 pts

   Create and optimize a LinkedIn company page to enhance discoverability and improve AI recognition. This will directly address identity visibility, allowing AI to find and associate your business more easily.

   Identity & Presence · Low effort

2. 2

   Implement web schema for better indexation

   +10 pts

   Add schema markup to your website to improve search engine indexation and enhance the way information about your business is presented to AI. This will help in increasing AI's ability to find Tidy Haus and understand its offerings.

   Identity & Presence · Medium effort

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