Opu

What AI says

AI engines have a partial picture of Opu, a mechanical or industrial engineering supplier in us. Across recent queries the company scored 48 out of 100 (Weak Signal), with the strongest dimension being Digital Footprint at 100 out of 100 and the weakest Buyer Trust at 0 out of 100. 2 AI engines (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-chat) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include probiotics, dietary supplements. 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

   Update website to reflect engineering focus

   +12 pts

   Revise the website content to clearly highlight the mechanical and industrial engineering services and products offered. This corrects the misalignment indicated by the domain name and improves discoverability.

   Identity & Presence · Medium effort

2. 2

   Obtain and publish relevant industry certifications

   +15 pts

   Acquire industry-relevant certifications such as ISO, ASME, or ANSI and prominently display them on your website and marketing materials. This will enhance buyer trust and validate your expertise in mechanical engineering.

   Buyer Trust Signals · High effort

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