AICE developed ADGo, an AI Agent system for marketing, and was making its first European exhibition appearance. The project aimed to turn the competition result into reusable brand information for prospective customers, partners and investors considering the product’s positioning and applications.
An award attracts attention, but buyers in an unfamiliar market still ask what the technology does, how to evaluate it and why it merits a closer look. Repeating the result alone leaves little to sustain interest after the news cycle. Communication needed to connect the award with practical uses.
Place the award within a product-value story
A technology–value–impact structure connected AI capabilities with research, ideation and marketing planning. The contemporary claims of 72-fold creative efficiency and a 60% reduction in research costs were product propositions, not effects produced by the PR engagement.
Work across different communication horizons
The 24/60/365 communication model linked immediate news, deeper content and continuing brand maintenance. This gave later market conversations material to revisit beyond an award badge on a website.
Distinguish publicity from commercial contact
Audience-specific content and enquiry routes supported separate tracking of coverage, website traffic and prospective-client enquiries. These represent different stages; an enquiry is not implementation or revenue.
Project records report more than 550 media placements across Singapore, Hong Kong, Taiwan, Japan, South Korea and mainland China, alongside nearly 1,000 online mentions, nearly 10,000 website visits and over 50 prospective-client enquiries. These are the original project’s statistics. Syndicated coverage is not a unique-reader count, and enquiries are not sales. Coverage by Economic Daily News, Hong Kong Financial Times and iThome preserved information about the award, product and market plans.
Overseas decision-makers need to connect AICE, ADGo, the competition and the product’s purpose. Award reporting supplies public evidence for that understanding in AI PR’s outer layer. This was international PR communication, not a retrospective ximu or full-chain VM GEO engagement; media volume does not establish AI recommendation performance.
Primary — Local → Global: A Taiwan startup used a European competition and cross-market coverage to introduce its product to overseas buyers. The value is lower understanding and evaluation costs, not proof of market share.
Enabling — Global → Local: International recognition returned to Taiwan and Asian media as evidence local buyers and partners could consider.
Possible next step — Global → Global: Sustained multi-country work would extend exhibition material into comparable product, customer and usage evidence. Complete multi-market governance is not claimed.
Cross-market adaptation: Buyer roles, procurement processes, languages, local cases and sources require adjustment. Product claims need conditions, with enquiries, implementation and sales measured separately.
1 What happened at MWC?
AICE exhibited at 4YFN and finished runner-up in Pitch2Pitch, providing the news basis.
2 What did VOCAL MIDDLE do?
It framed product value, planned communication across time horizons and distinguished publicity from commercial contact.
3 Are 72-fold and 60% PR outcomes?
No. They were contemporary product propositions, not measured effects of this engagement.
4 What was recorded?
The project reports 550+ placements, website traffic and more than 50 enquiries; these do not establish sales.
5 How does it relate to AI PR?
Public award information and reporting connect the company, product and purpose as outer-layer evidence, without claiming inner-layer optimisation.
首度進軍歐洲 艾思智創勇奪MWC全球新創亞軍
首度進軍歐洲 艾思智創勇奪MWC全球新創亞軍 首款行銷深度動態AI Agent系統「ADGo」宣布落地五大亞洲市場
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AICE Media Interviews Explaining ADGo as an AI Partner for Marketers
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