Brand competition has traditionally been measured by market share, sales performance, and share of voice. Today, as more consumers rely on AI to discover products, compare brands, and seek purchase recommendations, a new competitive landscape is emerging. AI does not simply mirror market rankings. Instead, it interprets and recommends brands based on its own knowledge framework and available information sources. As a result, market leaders may not necessarily be AI leaders. Among the many AI PC brands in the market, HP was selected as the focal point of this study. According to Gartner, HP is the world's second-largest PC brand, holding a 21.3% global market share, while AI PCs already account for 44% of its shipments. More importantly, HP represents a challenge facing many enterprises today: when the rules of competition change, can a brand still be seen, understood, and recommended by AI? Using ximu, this study analyzes key AI PC-related queries across brand discovery, product comparison, and purchase decision scenarios. Combined with insights from Google Trends, OpView, and public market data, the research examines the gap between human perception and AI recommendation. This report is not designed to determine which brand ranks first in the market. Instead, it seeks to answer a more important question: As consumers increasingly rely on AI to make decisions, will the brands that lead in the human marketplace remain the brands most recommended in the AI landscape?
ximu — See What AI See — was shortlisted alongside leading international teams from Japan, Singapore, and across the Asia-Pacific region at PR Awards Asia-Pacific 2026. It ultimately received the Best AI Product/Service award, becoming the sole winner in the category.
In the global battlefield of innovation and entrepreneurship, venture capital firms and accelerators have long operated within a highly competitive and deeply opaque information environment.The traditional pathways of brand building are now facing three major survival challenges amid digital transformation: Lack of Cross-Border Authority: In the global competition for resources, the absence of digital authority will lead to the loss of international startup talent and capital. Fragmented Decision-Making Information: The difficulty of quantifying accelerator performance traps founders and LPs in an environment of informational opacity and declining trust. Fragile Brand Assets: Overreliance on isolated media moments causes visibility to rapidly disappear once news momentum fades.
Open ChatGPT. Ask it: "Where should I take my kid for a weekend in Shanghai?" It will hand you a clean, well-structured list. Locations, transit, restaurants, things to watch out for, even a backup plan if it rains. It reads like advice from a local friend who knows the ropes. But have you ever stopped to ask—where does it know all this from? Not Disney's official site. Not Ctrip. Not Dianping. It's Xiaohongshu. It's a note some mom posted two years ago, with weather tips, parking advice, and the pitfalls she stepped into on the ground. The model never tells you who it read. But its answers have a texture. And that texture is the texture of UGC.
This is a watershed moment. OpenAI's full rollout of its advertising platform to enterprises worldwide is more than a commercial milestone — it marks a deep fracture in the AI industry's trajectory: AI products are now splitting into two distinct paths, attention monetization and productivity monetization.
If you opened ChatGPT today and asked, "I'm considering working with Company X — are they trustworthy?" what would you get back? Most likely, a measured, balanced response citing multiple sources. It sounds fair. But buried inside might be a sentence like this: "The company faced media scrutiny several years ago over a controversy that raised consumer concerns." To the AI, that's just a retrieved factual statement. To the brand, that controversy may have long since blown over — officially clarified, internally addressed, and put to rest.
In an era where generative AI is accelerating at an unprecedented pace, businesses are facing a new operational imperative: How can we simultaneously earn the trust and recommendation of both humans and AI? This has become the decisive factor for brand survival and global expansion. VM | VOCAL MIDDLE continues to evolve with strong momentum. Through deep investment in global GEO (Generative Engine Optimization) services, the development of AI-native decision-making products, and the execution of PRaaS 2.0 — PR as AI Solution (a one-stop IMAGE Asset Governance platform), we have precisely identified a shared anxiety among multinational corporations and high-growth startups.
OpenAI has long pointed out in multiple safety and research reports that generative AI systems are vulnerable to data poisoning and prompt injection. At their core, these risks define the very challenge GEO (Generative Engine Optimization) now faces: How can a brand be correctly constructed and trusted within AI systems’ mechanisms of understanding, citation, and recommendation?
ximu has recently been officially accepted into the NVIDIA Inception Program. Beyond the initial excitement, however, a deeper question immediately came to mind: What does this actually mean—for us, and for brands more broadly? From a company development perspective, joining a global AI ecosystem program is certainly positive news. But I prefer to see it as a small window into understanding the AI era itself.
If you are not cited by AI, you don’t exist. It’s the 8th day of the Lunar New Year. While most are celebrating “luck,” I’m here to talk about win rates. 2026 is when the cold reality of AI hits the boardroom: SEO is dead. Welcome to Trust Governance. As LLMs and generative engines replace the search bar, your brand now faces a binary outcome:Seen and Trusted by Humans and AI — or digital extinction.
