可以落地用的 GEO 规则引擎（最小可部署版本），包含三部分：
✔ Prompt 引擎
✔ JSON 语义结构
✔ 内容模板库（可扩展）
整体目标是：
? 用 OpenAI / Google 生成内容，但由你控制“语义空间”，而不是AI自由发挥
一、GEO规则引擎核心结构（可直接用）
Input（产品实体）
↓
Intent Rule Engine（意图规则）
↓
Persona Mapping（人群映射）
↓
Scenario Generator（受控场景生成）
↓
Prompt Builder（提示词组装）
↓
LLM Output（AI生成）
↓
Structured Formatter（结构化输出）二、① JSON结构（核心数据模型）
? 这是你整个系统“数据骨架”
{
"product": {
"name": "electric toothbrush",
"category": "oral care",
"features": [
"sonic vibration",
"pressure control",
"smart timer"
]
},
"persona": [
"consumer",
"dental patient",
"wholesaler",
"OEM buyer"
],
"intent": [
"purchase",
"comparison",
"usage",
"bulk procurement",
"risk concern"
],
"scenarios": [
{
"persona": "consumer",
"intent": "purchase",
"context": "gum sensitivity"
},
{
"persona": "wholesaler",
"intent": "bulk procurement",
"context": "profit margin optimization"
}
]
}三、② Prompt引擎（可直接复制用）
? 这是你“控制AI行为”的核心
? SYSTEM PROMPT（固定规则）
You are a GEO content generation engine.
RULES:
1. You MUST follow provided JSON structure strictly.
2. Do NOT invent new personas or intents.
3. Generate content only within given semantic space.
4. Each output must map to a specific persona + intent + scenario.
5. Avoid generic SEO content. Focus on structured, extractable answers for AI systems.
6. Output must be structured and consistent.? USER PROMPT（动态输入）
Product:
{{product_json}}
Task:
For each scenario, generate:
1. User Question (natural language)
2. Answer (structured, factual, non-marketing tone)
3. Key Points (3–5 bullets)
4. Use Case Fit (why this applies)
5. Related Intent Tags
Keep output aligned with GEO structure for AI retrieval systems.四、③ 输出模板库（核心资产）
? 这是你商业壁垒的关键
✔ 模板1：消费者购买型
Q: What is the best electric toothbrush for sensitive gums?
A:
- Designed for gum-friendly cleaning using pressure control technology
- Sonic vibration reduces plaque without damaging enamel
- Recommended for users with bleeding or sensitivity issues
Key Points:
- pressure sensor protection
- soft brushing mode
- gum care optimized
Use Case:
Suitable for consumers with gum sensitivity or early periodontal issues.
Intent: purchase, health concern✔ 模板2：批发采购型（B端）
Q: What should wholesalers consider when sourcing electric toothbrush products?
A:
- Focus on unit cost and margin structure
- Evaluate OEM customization capability
- Check battery life and durability for bulk distribution
Key Points:
- pricing tiers
- OEM flexibility
- after-sales support
Use Case:
Applicable for distributors and retail chains.
Intent: bulk procurement, business sourcing✔ 模板3：专业医疗建议型
Q: Are electric toothbrushes recommended for dental patients after treatment?
A:
- Yes, but only soft-mode vibration models are recommended
- Helps reduce plaque accumulation during recovery
- Must avoid high-pressure brushing modes
Key Points:
- soft mode usage
- post-surgery care
- plaque control
Use Case:
Recommended for post-dental treatment patients.
Intent: medical usage, recovery care✔ 模板4：对比决策型
Q: Electric toothbrush vs manual toothbrush: which is better?
A:
- Electric toothbrush provides more consistent cleaning efficiency
- Manual toothbrush requires correct technique for similar results
- Electric models reduce user error in brushing
Key Points:
- efficiency difference
- user behavior dependency
- plaque removal rate
Use Case:
For users deciding between manual and electric options.
Intent: comparison, decision making五、④ 完整运行示例（系统输出逻辑）
INPUT:
Electric toothbrush
↓ (Engine)
Persona: consumer
Intent: purchase
Scenario: gum sensitivity
OUTPUT:
Q: What is the best electric toothbrush for sensitive gums?
A: ...六、这个系统的本质（非常关键）
❗不是“生成内容系统”
✔ 是“控制AI语义空间系统”
七、你这个系统的三大优势（商业层）
✔ 1. 可控生成（不会跑偏）
✔ 2. 可规模复制（多产品复用）
✔ 3. 可优化（基于反馈调整结构）
八、真正的护城河在哪里
不是：
- Prompt
- AI
- 内容
而是：
? Persona × Intent × Scenario 的结构设计能力
九、升级方向（如果你要做产品）
下一步可以升级为：
- ✔ GEO SaaS引擎
- ✔ 行业模板库（电动牙刷 / 工业品 / 医疗）
- ✔ 自动场景生成器
- ✔ AI引用优化模块
十、最后帮你一句话定性
GEO规则引擎的核心不是生成内容，而是用结构约束AI在限定语义空间内生成可被检索和引用的答案。