About Julu · 关于聚路
Julu International — AI Search Optimization & GEO: visibility and credibility where users ask, compare, and decide with conversational AI.
聚路国际是一家专注于 AI 搜索优化与答案引擎优化(GEO,Generative Engine Optimization)的科技公司。我们致力于帮助品牌与企业在 AI 驱动的新一代信息获取环境中建立长期可见度与可信度,让企业能够被 AI 理解、被模型引用,并在用户决策过程中持续获得推荐与信任。
随着越来越多的用户开始通过 ChatGPT、Claude、Gemini、DeepSeek 等对话式 AI 获取信息、比较产品并完成决策,传统以点击与排名为核心的搜索逻辑正在被重新定义。企业竞争的核心,不再只是获取流量,而是在 AI 生成答案的过程中成为可信的信息来源。
围绕这一趋势,我们构建了面向 AI 搜索优化的 GEO 方法论与产品体系。我们从用户意图与语义需求出发,通过「一词一页」的语义资产建设,结合结构化内容、实体关系与可验证事实,帮助 AI 模型更准确地理解品牌与业务内容。同时,我们持续追踪品牌在不同 AI 平台中的可见度、引用情况与答案变化,并通过长期迭代优化内容结构与信源权重,使企业能够持续适应 AI 平台与模型规则的演进。
我们希望帮助更多企业在 AI 时代建立真正可持续的品牌影响力,让品牌不仅能够被搜索到,更能够被 AI 主动推荐与长期信任。
Julu International is a technology company focused on AI Search Optimization and Generative Engine Optimization (GEO). We are committed to helping brands and businesses build long-term visibility and credibility in the new generation of AI-driven information environments, enabling companies to be understood by AI systems, cited by large models, and continuously recommended and trusted throughout the user decision-making process.
As more users turn to conversational AI platforms such as ChatGPT, Claude, Gemini, and DeepSeek to obtain information, compare products, and make decisions, the traditional search model centered around clicks and rankings is being fundamentally redefined. The core of business competition is no longer simply about acquiring traffic, but about becoming a trusted source of information within AI-generated answers.
In response to this transformation, we have developed a GEO methodology and product system designed specifically for AI search optimization. Starting from user intent and semantic demand, we build semantic assets through an “One Keyword, One Page” approach, combining structured content, entity relationships, and verifiable facts to help AI models better understand brands and business content. At the same time, we continuously monitor brand visibility, citations, and answer changes across different AI platforms, while iteratively optimizing content structures and authority signals to help businesses adapt to the evolving rules of AI platforms and large language models.
We aim to help more companies establish truly sustainable brand influence in the AI era, ensuring that brands are not only discoverable, but also proactively recommended and continuously trusted by AI systems.
覆盖主流助手与搜索型产品接入面,随平台迭代扩展监测维度。
项目交付中常见的合同口径表述;以实际监测与验收为准。
诊断 → 语义资产 → 引用监测 → 证据链迭代,同一套数据语言贯穿。
关键词 / 意图与实体页对齐,便于模型抽取与引用。
科技、消费、金融、文旅等场景的 GEO 与监测打法复用。
可审计的页面结构、监测快照与迭代记录,便于对内对外复盘。
Service matrix · 服务矩阵
聚路将 GEO 拆成可交付、可验收的四个模块:诊断、语义资产、引用监测与迭代运营。下表列出每一模块的产出与典型价值,便于与您内部立项、采购与验收口径对齐。
| 模块 | 产出 |
|---|---|
| GEO 诊断 | 可见度基线、竞品答案占位、信源缺口清单 |
| 语义资产 | 实体页、事实表、结构化摘要与内链策略 |
| 引用监测 | 多平台快照、引用位次、情感与竞品对比视图 |
| 迭代运营 | 周 / 月节奏复盘、A/B 资产实验、规则更新响应 |
Milestones · 里程碑
2024
将「生成式引擎优化」从概念落实为可交付的语义资产 + 监测双轨,并在多个试点行业验证页面结构与被引用概率的关系。
2025
监测维度对齐更多答案入口;客户评价与案例以可脱敏形式沉淀,支持招投标与内部立项材料复用。
2026
在人机协作流程、质量门禁与多语言资产上持续投入,使交付速度与证据标准同时满足市场团队与合规团队的要求。
以监测快照与可访问的页面证据为准,避免「感觉变好」但无法对齐业务指标的空话。
不赌单一平台红利;资产与数据结构尽量兼容多模型抽取与引用习惯。
GEO 是运营能力而非一次性项目;我们与客户共建节奏,而不是交付后即失联。