ReevolSignal

Inki Tech Co., Ltd.

KR · Consumer Electronics · Est. 1997 · inki.co.kr

Last refreshed 2026-06-01

21Dark Signal

Based on 3 AI engines across 1 buyer language.

AI Readiness pillars

How Inki Tech Co., Ltd. performs against the three pillars buyers care about when sourcing via AI.

AI Knowledge30 / 100

Weight 40% · Do multiple AI engines recognise you and tell a consistent story

AI Recommendation0 / 100

Weight 30% · When buyers ask AI to source in your niche, do you come up

AI Verdict30 / 100

Weight 30% · How AI engines rate you on quality, reliability, pricing

What AI says

AI引擎对韩国消费电子供应商Inki Tech Co., Ltd.的了解非常有限。综合近期查询,该公司得分为19分(满分100分),属于"暗信号"等级,其中最强维度为"数字足迹",得分50分(满分100分),最弱维度为"AI推荐率",得分0分(满分100分)。在测试的3个AI引擎(Claude Haiku、gemini-2.5-flash、deepseek-chat)中,仅有1个就该公司的身份、采购及可信度相关提示返回了实质性信息。AI引擎未检索到该供应商的任何具体产品信息,这直接影响了"产品清晰度"维度的得分,该维度仅得10分(满分100分)。AI回复中未出现任何认证或第三方验证信息,这限制了"买家信任度"维度的得分(20分,满分100分)以及"AI推荐率"的得分(0分,满分100分)。当前最大的改进机会在于"AI推荐率"维度,下方的改进路线图按预期得分提升幅度列出了供应商可执行的具体行动,并已按优先级排序。

AI engine breakdown

One row per AI engine. Aggregates identity, sourcing, trust, and verdict queries.

AI EngineFoundSentimentRatingProducts mentionedCertifications
DeepSeek0 / 4not foundNoneNone
Claude Haiku1 / 4not foundNoneNone
Gemini 2.5 Flash0 / 4not foundNoneNone

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 major Korean B2B directories

    +18 pts

    Only 1 of 12 AI queries found the company by name, indicating minimal web presence. Register on Google Business Profile, Naver Business, and Korean B2B platforms like Alibaba, Global Sources, and TradeKey. This establishes foundational discoverability so AI engines can reliably locate and index the company.

    Identity & PresenceLow effort

  2. 2

    Add structured product data markup to website homepage

    +22 pts

    AI found zero specific products from the company, suggesting product information is either absent or not machine-readable. Implement schema.org Product markup on your website listing model numbers, categories, specifications, and images for each product line. This enables AI engines to extract and recommend specific offerings.

    Product ClarityMedium effort

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