Hotels at Home

What AI says

AI engines have a partial picture of Hotels at Home, a Building Materials supplier in us. Across recent queries the company scored 41 out of 100 (Weak Signal), with the strongest dimension being Identity and Presence at 80 out of 100 and the weakest Buyer Trust at 0 out of 100. 3 AI engines (out of 3 tested: GPT-4o, Claude Sonnet, deepseek-chat) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include linens, towels, bathrobes. 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 20 out of 100. The biggest opportunity for improvement is the Buyer Trust 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

   Claim your business on LinkedIn

   +12 pts

   Claim and optimize your LinkedIn business profile to improve visibility among decision-makers in the building materials sector. This will enhance your discoverability and reinforce your identity as a supplier.

   Identity & Presence · Low effort

2. 2

   Obtain and display relevant certifications

   +30 pts

   Pursue and prominently display certifications that apply to building materials, which will help build buyer trust. This is crucial as trust signals are currently nonexistent.

   Buyer Trust Signals · High effort

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