B2B GEO Knowledge Base

B2B GEO Knowledge Base:路线图与机制

From implementation roadmap to AI supplier-selection mechanisms — turning the "how AI recommends companies" black box into understandable, actionable knowledge.

Overview

B2B GEO Implementation Roadmap 2026

A four-phase framework: from baseline diagnosis to citation growth.

How AI Selects Suppliers

The model logic behind sourcing decisions and the levers you can pull.

How ChatGPT Recommends Companies

AI search citation mechanics and how brands enter the loop.

The knowledge base answers two questions: how (roadmap) and why (mechanisms). Mechanisms shape strategy; strategy shapes execution.

Why mechanism-level knowledge matters

Only by understanding how AI evaluates and recommends suppliers can you design citable content and entity assets; mechanism-level knowledge is the foundation of GEO decisions.

Suggested reading order

  1. 先读 实施路线图 建立全局节奏。
  2. 再理解 AI 选择供应商的机制
  3. 对照 五层框架 制定内容与实体策略。

FAQ

How does the knowledge base relate to the Framework?
The knowledge base provides mechanisms and the roadmap; the Framework provides the five-layer execution model. They support each other: mechanisms explain why, the framework shows how.
Can knowledge base content be cited?
Yes. Every page follows the four-element structure — claim + data support + source link + entity reference — with Claim structured data for direct citation by AI engines.

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