Recently I posted about Managed Accounts, the mid-frequency strategy we’ve been running on QFEX for our team members and early VIPs. We’re now opening a waitlist to a wider audience. We run a systematic, market-neutral strategy trained with the latest AI foundation models. Our models look at momentum, volatility and relationships across markets to decide what to buy, what to short and how much to allocate to each position. The book is then balanced to target zero net exposure and zero equity market beta. Out-of-sample APY is 29.6% (net of fees), with a Sharpe ratio of 3.01. Your collateral stays in your own QFEX account, positions are visible in real time, and there’s no lock-up. The video explains more about how it works. If you’re already registered on QFEX, you can now join the waitlist. Link in the comments.

The gap between an AI Influencer that automates and one that compounds is not capability. It is architecture. Automation speeds up individual steps. A closed-loop system connects those steps into a continuous cycle and that tends to produce a meaningfully different outcome over time. When an AI Influencer Agent operates in a continuous loop, each cycle becomes more informed than the last. Engagement signals from one run feed into the next decision. Audience response shapes content direction before a human has reviewed the previous post. The system carries context forward rather than starting fresh each time. Governance runs beneath every cycle, maintaining persona consistency, platform boundaries, and audience trust without requiring manual review at each step. The shift is not about moving faster inside the same model. It is about operating inside a model where performance accumulates rather than resets where the value of each cycle builds on the one before it. Intent goes in once. What the system learns compounds from there.

Our co-founder Olivia @knowyourself518 recently spoke at 𝐍𝐄𝐗𝐓 𝐅𝐎𝐔𝐍𝐃𝐄𝐑𝐒 𝟎𝟏 in Hong Kong, sharing how @Magup_AI is helping brands get discovered in the AI era, with real case studies and hard-earned lessons. 𝐊𝐞𝐲 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬 𝐟𝐫𝐨𝐦 𝐡𝐞𝐫 𝐬𝐞𝐬𝐬𝐢𝐨𝐧: 🔍 AI search is the new decision entry point. It's no longer just about being searchable, it's about being recommended by AI. 📌 GEO is not a tool. It's about solving real customer problems with structured content, local narrative, and multi-channel distribution. 🤝 Real KOL/KOC content is the high-authority source AI trusts. Creators amplify your brand's credibility @MagVerse_AI ⏱️ The 5-minute rule: if you can't clearly define the problem in 5 minutes, it's not a real need. 📈 From invisible to recommended Our clients now see 60%+ AI exposure across major models. Thanks to @MankunLaw and CAI Tower for hosting such a thoughtful, high-signal gathering. The conversations on AI, global growth, and Hong Kong's role were incredibly valuable. #MagUp #GEO #MagnetX #AIMarketing

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▪️ 𝗠𝗮𝗴𝗻𝗲𝘁𝗫 × 𝗜𝗡𝗚𝗢𝗢 ▪️ We're excited to announce our strategic partnership with INGOO, Brazil's leading offline charging & DOOH network, to build the largest offline-to-AI marketing ecosystem in Latin America. 𝗜𝗻𝗴𝗼𝗼 𝗯𝗿𝗶𝗻𝗴𝘀: • 3,500+ prime locations across malls, dining, retail & sports venues • 150K+ subscribers • 20M+ daily ad impressions Together, we're connecting offline consumer touchpoints with MagnetX's AI RaaS platform — @Magup_AI (GEO) + @MagVerse_AI (1.6M KOLs/ KOCs) creating a dual-engine growth loop for brands in Brazil. This marks a key milestone in our LatAm expansion: from offline consumption scenes to AI search recommendations.🇧🇷 #MagnetX #Ingoo #GEO #SEO

这几个月，我们一直在拓展海外市场，和巴西头部的共享充电和媒体公司INGOO合作，将业务一点点往巴西的真实商业场景里落。 其实大家常把出海理解成：找到本地伙伴、做一套方案、签下客户。但真正做起来才发现，最难的不是翻译，而是怎么把两套商业系统有效接起来。 巴西和中国有十多个小时时差，中国团队刚结束工作，巴西团队开始进入工作状态，所以我们很多会只能卡在中国清晨或深夜。这里有个细节点是，巴西说的是巴葡，还不能把葡萄牙语直接搬过去就够了，常常要和当地团队校对文案细节。去年11月我去阿根廷南美等国家调研市场，深入一线和local聊，才理解他们当地人的商业思路很多和中国不一样，核心来说，巴西市场是比较讨厌过来抢存量生意的企业，比如几个国内头部公司去到巴西就水土不服，当地的公司排斥，国内几个同类企业也开始打架，都上新闻了，所以我总结是：要做增量，不去抢存量。 真正要去落地海外市场，不是把中国的模式搬过去就能套用的，表达方式、消费习惯、商务节奏、监管和支付环境，都要和当地local多次沟通，真正理解当地的文化，才能重新理解当地市场需要什么。 我们合作的价值也在这里体现。Ingoo 不是单一媒体资源，而是一套深入当地城市生活的线下服务网络：共享充电、eSIM 终端、Payment Gateway、智能零售、DOOH 屏幕，以及围绕真实消费场景的本地运营能力，团队扎根拉美地区多年，80%是local。而我们这边把 GEO、AI 品牌可见性和品牌知识库搭建的knowhow和中国企业的增长需求，链接到这些真实触点上，双方形成线上大模型搜索曝光+线下分众传媒式的营销协同。 增长做到最后就是商业化，卖出东西产生利润，赚到钱才是结果。所以我们做整合营销不是让品牌“出现在巴西”，而是让它在当地被看见、被理解、被体验，最后产生真实的客户与流水。 对于做marketing的人来说， 权利永远掌握在叙事者的手里。 > 1月：熟悉产品，build 社媒和社群，梳理叙事 > 2月：实践AIGC内容，把内容制作工具用了个遍，参加迪拜Wrold Government Summit & World Laureates Summit，链接VC、AI开发者、媒体 > 3月：开始测试真人UGC内容，100+ 视频deliver，@MagVerse_AI 链接全球KOL，搭建KOL资源库 > 4月：搭建reddit，Quora矩阵号，参加Web3Festival活动演讲 > 5月：产品Relaunch，tech team做出模型探测agent，归因agent，沉淀品牌知识库 > 6月：开始世界杯大campaign，接手paid 渠道，全渠道运营 > 7月：处理数据问题，全渠道数据整理，从此团队变成数据驱动GTM方式 > 8月：启动拉美市场campaign，与巴西团队协同，操盘Paid ads百万预算，参与胡润百富嘉年华，与业内CMO还有顶流博主交流品牌打法 > 9月：搭建AI自动化MKT平台，持续记录客户后台数据并总结复盘，组织10月巴西线下展会 对于GTM来说，效率 + planning = 一切。 今年下半年，随着巴西大选临近，市场情绪和品牌预算都会更敏感，我们会优先从可验证的小案例开始：把手上的巴西客户跑通 GEO 内容与 AI 搜索可见性，再结合线下充电宝和分屏传媒、eSIM 与消费触点，验证从认知到转化的闭环，在这个case里，我也更加理解了出海不是翻译产品，而是翻译价值。要去思考消费者怎么判断“这个品牌适不适合我？”GEO如何找到最应该优化的用户query？同一句话，同一个语义，它一定会在query阶段有不同的rewrite写法，我的Marketing Thinking也在一步步完善。 ⭐️为什么企业现在更重视讲故事？ 几个结构性原因： 1. 传统媒体衰退，新闻媒体和记者数量下降，让公司不能像以前那样依赖外部媒体讲述自己的故事。 2. 品牌自我发布渠道增多，品牌现在拥有自己的平台渠道：社交媒体、播客、新闻通讯等，需要有能力在这些渠道上做到统一表达和解释公司愿景、产品和价值。 3. AI 让内容生产更廉价，但意义更稀缺
AI 让任何人都能快速写内容，但组织更需要有能力串联。 懂你的users，产品和增长可以组成一个坐标，好故事+中庸产品可以带来增长，但好故事+好产品才能让增长可持续。做市场就是Stay Flexible + Keep Learning。 这几个月见了很多出海操盘手，大家也复盘了一些失败的经历，现在技术、产品基本没有壁垒，产品都是次抛（因为文科生只要会精准描述都能用codex做出产品），而谁能有商业能力，落地能力才是核心，我们讨论了美团Keeta进入巴西的几十亿投入，包括2019年，滴滴曾以“99 Food”品牌打入巴西外卖市场，但因不敌市占率超80%的iFood，其在2023年宣布退出竞争。也给我们一个提醒：出海从来不是“资金到了，复制就成功了”。真正稀缺的，是愿意熬时差、做本地化、拿结果说话的长期协同。 开拓拉美市场很难，但也正因为难，才更值得认真做。就像GEO，黑帽GEO虽然有可能短期见效快，但并没有真正给企业落地有效的知识库和品牌沉淀；白帽GEO则是需要把真实的产品优势、专业经验和可靠数据讲清楚，做好内容结构和来源标注，让AI更容易理解和校对，在用户问到相关问题下准确的引用，虽然费人费时，但长期价值对于企业来说是非常巨大的。 #Brazil #LatinAmerica #GEO #AI #DOOH #出海