可落地
才算数
Ship it
or nothing

产品 驱动增长 智能体落地 Products That Grow Agents That Ship

DavidXuAI 面向 B2B 与增长场景:询盘雷达、问见 GEO、Motus 三款产品,加上企业 AI 转型咨询与实施——帮企业搭好智能体体系,真正服务业务。

DavidXuAI builds for B2B growth: TradeRadar, GeoMind, and Motus — plus enterprise AI transformation that stands up agent systems that actually serve the business.

我们是谁?
我们做什么?

Who we are
What we build

深耕企业营销数字化与销售增长:Salesforce、营销自动化、CDP 与精准营销经验沉淀为可交付产品。现在聚焦三件事——外贸询盘经营、品牌在 AI 时代的可见度、以及 AI-native 的营销转化;同时为企业提供 AI 转型咨询与智能体体系落地。

Rooted in enterprise marketing and sales growth — Salesforce, marketing automation, CDP, and precision marketing. Today we focus on foreign-trade inquiry ops, brand visibility in the AI era, and AI-native conversion — plus consulting that lands enterprise agent systems.

清晰思考,快速落地。 Think clearly. Ship fast.
David Xu
产品 · 增长 · 落地 Product · Growth · Delivery

三款产品

Three products

覆盖询盘经营、AI 可见度与营销转化——每一条都对准真实业务场景。

Inquiry ops, AI visibility, and marketing conversion — each built for real business workflows.

企业服务

Enterprise services

AI

AI 转型咨询与实施

AI transformation consulting & delivery

不止方案文档。帮企业搭建完整的智能体体系与落地框架——从场景定义、数据与知识治理、工作流编排,到试点上线与运营机制,让 AI 真正服务业务发展,而不是停留在演示。

More than slide decks. We help enterprises stand up agent systems and delivery frameworks — from use-case design and knowledge governance to workflow orchestration, pilots, and operating models that serve real business outcomes.

企业级智能体体系

Enterprise agent systems

角色、权限、工具调用与人机协作边界一次设计清楚。

Roles, permissions, tool use, and human–AI boundaries designed up front.

落地框架与试点

Landing framework & pilots

选准高价值场景,快速验证,再规模化复制。

Pick high-value scenarios, prove them fast, then scale what works.

业务结果导向

Business outcomes first

对齐销售、营销、运营与客户成功的真实指标。

Tied to real metrics in sales, marketing, ops, and customer success.

你可能想问:

You might wonder:

可以单独用产品,也可以从咨询切入。常见路径是:先用询盘雷达 / 问见 GEO / Motus 解决明确场景,再围绕企业整体智能体体系做架构与落地;或反过来,先做转型规划,再引入匹配的产品模块。
Use products alone, or start with consulting. Common paths: solve a clear scenario with TradeRadar / GeoMind / Motus, then scale an enterprise agent architecture — or plan the transformation first, then plug in the right product modules.
场景与指标定义、知识与数据治理、智能体与工作流设计、试点上线、以及可持续运营机制。目标不是「上一个大模型」,而是让业务团队能用、敢用、持续产生结果。
Use-case and metric definition, knowledge/data governance, agent and workflow design, pilot launch, and an operating model teams can sustain. The goal isn’t “deploy a model” — it’s adoption that keeps producing outcomes.
不是又一个 AI 文案或聊天机器人。差异在全链路:询盘→跟进→成交、品牌在 AI 回答中的可见度、以及 MA/CDP 式的系统思维——产品可直接用,咨询能落到企业级框架。
Not another AI copy or chatbot wrapper. The edge is the full loop: inquiry-to-close, brand visibility in AI answers, and MA/CDP systems thinking — products you can use today, consulting that lands at enterprise scale.

一起
做点事

Let's
build

欢迎交流产品试用、合作落地,或企业 AI 转型与智能体体系建设。

Open to product trials, delivery partnerships, and enterprise AI / agent-system engagements.