ReevolSignal

Trends International

US · Arts & Crafts · Est. 1987 · trendsinternational.com

Last refreshed 2026-05-31

71Moderate Signal

Based on 2 AI engines across 1 buyer language.

AI Readiness pillars

How Trends International performs against the three pillars buyers care about when sourcing via AI.

AI Knowledge67 / 100

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

AI Recommendation90 / 100

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

AI Verdict58 / 100

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

What AI says

人工智能引擎对Trends International(美国一家工艺美术品供应商)呈现出强劲且一致的评估结果。在近期查询中,该公司综合评分为100分中的80分(强信号),其中最强维度为人工智能推荐率,得分100分(满分100分),最弱维度为数字足迹,得分30分(满分100分)。在2个接受测试的人工智能引擎(Claude Sonnet、deepseek-chat)中,有2个就公司身份、采购及可信度相关提示返回了实质性信息。人工智能呈现的产品包括海报、日历及贴纸套装。人工智能引用的认证及信任指标包括:森林管理委员会认证(FSC)。下方的改进路线图概述了如何弥补现存差距,并推动每项维度向强信号迈进。

AI engine breakdown

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

AI EngineFoundSentimentRatingProducts mentionedCertifications
Claude Sonnet4 / 4positive6 / 10posters, calendars, sticker collectionsNone
DeepSeek2 / 4neutrallicensed wall art, posters, calendarsForest Stewardship Council (FSC)

Improvement Roadmap

Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.

  1. 1

    Publish FSC certification document on website

    +18 pts

    Upload a scan or PDF of the Forest Stewardship Council certificate to your website footer or dedicated certifications page. AI systems recognize official certification documents as trust signals; this converts an unverified mention into a verifiable claim and directly addresses the narrow product perception by demonstrating sustainability commitment.

    Buyer Trust SignalsLow effort

  2. 2

    Create structured product schema markup for best-sellers

    +16 pts

    Add JSON-LD schema markup to your top 5-10 product pages (posters, calendars, sticker collections, framing products) with price, availability, and category fields. This lifts discoverability in B2B search and AI product indexing, directly addressing the 30-point gap in digital footprint where AI has limited product-level visibility.

    Digital FootprintMedium effort

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