Anna Miralles

What AI says

AI engines have very limited information about Anna Miralles, a Retail supplier in es. Across recent queries the company scored 0 out of 100 (Dark Signal), with the strongest dimension being AI Recommendation Rate at 0 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 company on Google Business Profile and LinkedIn

   +18 pts

   Create a verified Google Business Profile with complete business name, address, and phone number. Establish a LinkedIn company page with company description and industry classification. Both are primary discovery vectors for LLM training data and direct B2B buyer searches.

   Identity & Presence · Low effort

2. 2

   Add structured schema markup to website homepage

   +14 pts

   Implement Organization schema (schema.org) on your homepage including company name, address, phone, email, and logo in JSON-LD format. This markup is indexed by search engines and AI crawlers, making basic company facts machine-readable.

   Identity & Presence · Low effort

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