BodyHouse

What AI says

AI engines have very limited information about BodyHouse, a Retail supplier in fr. 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 2 tested AI engines (GPT-4o mini, Claude Haiku) 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, and trust queries.

Improvement Roadmap

Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.

1. 1

   Register BodyHouse on Google Business Profile and LinkedIn

   +18 pts

   Create a verified Google Business Profile with complete company name, address, phone, and website URL. Establish a LinkedIn Company page with current description and industry classification. These are foundational discovery surfaces that AI agents use to confirm company existence and basic legitimacy.

   Identity & Presence · Low effort

2. 2

   Add schema.org markup to homepage with Organization and LocalBusiness tags

   +15 pts

   Embed JSON-LD structured data on the homepage declaring company name, location, contact details, and business type. This signals machine-readable identity directly to search engines and AI crawlers, dramatically improving findability by name.

   Identity & Presence · Low effort

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