Last refreshed 2026-06-07
Based on 4 AI engines across 1 buyer language.
AI Readiness pillars
How Marie et Lu performs against the three pillars buyers care about when sourcing via AI.
Weight 40% · Do multiple AI engines recognise you and tell a consistent story
Weight 30% · When buyers ask AI to source in your niche, do you come up
Weight 30% · How AI engines rate you on quality, reliability, pricing
What AI says
AI引擎对Marie et Lu(一家位于印度尼西亚的家具制造供应商)的相关信息极为有限。综合近期查询,该公司综合得分为100分中的19分(暗信号),其中最强维度为数字足迹,得分为100分中的50分,最弱维度为AI推荐率,得分为100分中的0分。在测试的4个AI引擎中(GPT-4o mini、Claude Haiku、gemini-2.5-flash、deepseek-chat),仅有1个引擎在公司身份、采购及可信度提示方面返回了实质性信息。AI引擎未能呈现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,该维度得分为100分中的10分。AI响应中未出现任何认证或第三方验证信息,导致买家信任维度得分受限,为100分中的20分,AI推荐率同样为100分中的0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 Engine | Found | Sentiment | Rating | Products mentioned | Certifications |
|---|---|---|---|---|---|
| GPT-4o mini | 0 / 4 | not found | n/a | None | None |
| Claude Haiku | 0 / 4 | not found | n/a | None | None |
| Gemini 2.5 Flash | 1 / 4 | not found | n/a | None | None |
| DeepSeek | 0 / 4 | not found | n/a | None | None |
Improvement Roadmap
Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.
- 1
Create web schema markup for your website
+12 ptsImplement structured data on your website to improve search engine understanding of your business. This will enhance your discoverability and help AI engines index your company better, increasing your identity score.
Identity & PresenceMedium effort
- 2
Update LinkedIn profile with accurate business details
+10 ptsEnsure your LinkedIn profile includes complete and correct company information, such as product offerings and contact details. This will improve your presence on professional networks and help AI identify your business more effectively.
Identity & PresenceLow effort
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