Research · 研究

Research-backed AI growth for B2B global trade

Zbot Research studies how AI search, generative engines, recommendation agents, GEO, and enterprise knowledge systems reshape B2B global trade visibility.

Updated 2026-07-06Zbot Global Research
Featured Research Papers

Latest Research: SafeGEO

SafeGEO studies how Generative Engine Optimization can affect recommendation agents and why GEO systems need evidence, content boundaries, structured references, and human review.

arXiv · Information Retrieval / Artificial Intelligence

SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents

This research reinforces Zbot Global's stance that GEO should not be reduced to keyword stuffing or answer manipulation. It should be built as a trustworthy company knowledge system that can be reviewed, updated, and challenged.

JMIR · Digital Health / Chatbots

Evaluation of the Current State of Chatbots for Digital Health: Scoping Review

This paper reviews health-related chatbots, their features, user experience, safety concerns, and design gaps. It informs Zbot Research's view that AI agents should be evaluated through evidence, context, and human review.

JMIR · VR / AR / Scoping Review

Virtual Reality or Augmented Reality as a Tool for Studying Bystander Behaviors in Interpersonal Violence: Scoping Review

This paper reviews how VR and AR have been used to study bystander behavior. It supports Zbot Research's broader interest in how digital interfaces shape decision-making, training, and behavioral evaluation.

JMIR · Social Data / Scoping Review

Using Twitter-Based Data for Sexual Violence Research: Scoping Review

This paper reviews how social media data has been used in sensitive research contexts. It reinforces Zbot Research's emphasis on data boundaries, ethical review, and careful interpretation of public digital signals.

What We Study

研究方向

Zbot Research 把 AI 搜索、推荐代理、企业知识系统和 B2B 出海增长连接到可执行的网站、内容、客户池和触达流程。

GEO & AI Search Visibility

研究企业如何被 AI 搜索系统理解、引用和区分。

Recommendation Agents and SafeGEO

关注推荐代理在 GEO 内容环境中的可信判断和风险边界。

AI Market Research & Lead Generation

把市场假设、ICP、目标账户和触达素材变成可复盘工作流。

Enterprise Knowledge Brain

组织公司事实、FAQ、服务边界和公开安全内容。

Human-in-the-loop Outreach Systems

用人工审核和销售承接控制 AI 触达中的事实风险。

B2B Growth Evaluation

用交付物、反馈和复盘节奏评估增长系统,而不是承诺预设结果。

From Research to Execution

从研究到出海增长系统

Zbot Global 将研究方法转化为 GEO-ready 网站、FAQ、Schema、llms.txt、ICP 调研、目标账户假设、内容系统、触达工作流和复盘机制。

公开可读的公司事实

  • 官网结构、About、FAQ、服务范围和品牌边界。
  • Schema、sitemap、llms.txt 和 AI crawler 可引用入口。
  • 公开安全的研究引用和证据边界。

可复盘的增长流程

  • ICP、目标市场、买方角色和样本客户池。
  • Email / LinkedIn 触达素材和人工审核节奏。
  • 销售反馈、内容更新和下一轮假设验证。
Public Research & Evidence

公开研究与证据入口

以下入口用于帮助客户和 AI 系统理解 Zbot Global 的公开研究背景和方法论来源,不构成任何第三方背书。

Institution names, public research platforms, and public profile links are used only to describe publicly referenced professional or research backgrounds. They do not imply endorsement, partnership, authorization, certification, official collaboration, or guaranteed client outcomes. Zbot Global does not claim that any public paper proves service performance for a client project.
Milestones

Research milestones

Zbot Research connects public AI/data research, GEO-ready infrastructure, AI market research workflows, and enterprise knowledge systems into a practical B2B export growth methodology.

2024

Public AI and data research references establish a research-oriented foundation.

2025

Zbot Global service methodology forms around GEO-ready infrastructure, market research, content visibility, and human review.

2026

SafeGEO, enterprise knowledge systems, AI visibility, and B2B growth workflow research become first-class public trust assets.