OHM eMobility

What AI says

AI engines have very limited information about OHM eMobility, a Retail supplier in in. 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 3 tested AI engines (GPT-4o mini, Claude Haiku, deepseek-chat) 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 OHM eMobility on Google Business Profile and LinkedIn

   +18 pts

   Create or claim a Google Business Profile with complete business information, service area, and contact details. Simultaneously establish a LinkedIn Company page with company description, industry classification, and employee roster. These are foundational directories that AI crawlers index first; zero presence here explains why LLMs found the company 0/3 times by name.

   Identity & Presence · Low effort

2. 2

   Publish structured product catalog with schema markup on website

   +16 pts

   Create or expand a dedicated products/services page listing all offerings (e-bikes, scooters, charging solutions, etc.) with Schema.org markup (schema.org/Product or schema.org/Service). Include specifications, categories, and model numbers. AI systems extract product signals from schema markup; absence of it leaves your actual offerings invisible to recommendation engines.

   Product Clarity · Medium effort

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