Education

What AI says

AI engines have very limited information about Education, a Real Estate supplier in eg. Across recent queries the company scored 5 out of 100 (Dark Signal), with the strongest dimension being Digital Footprint at 30 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 with complete details

   +18 pts

   Create or claim your Google Business Profile and establish a company LinkedIn page with full business description, location, and contact information. This ensures AI discovery systems can find and index your company by name, which is currently failing across all LLM queries.

   Identity & Presence · Low effort

2. 2

   Submit company to industry directories and real estate education databases

   +15 pts

   List your company on 3-5 relevant directories such as the National Association of REALTOR education providers, state real estate commission approved education listings, and general B2B directories like Crunchbase or PitchBook. This creates multiple discovery pathways for AI systems.

   Identity & Presence · Medium effort

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