Add landing page, referral system, usage quotas, search API management, and yearly pricing

- Separate workspace landing from login for better UX
- Referral system rewards both parties with Pro days
- Quota enforcement prevents abuse without breaking endpoints
- 7-day free trial with auto-downgrade on expiry
- Admin-managed search provider config (SearXNG, Bing)
- 15% discount on annual subscriptions
- MCP search server wrapping opencode search
- Fix discovery module field name mismatch causing 422

backend/app/services/discovery.py

@@ -218,21 +218,32 @@ URL: {company_url}
     async def _ai_strategy(self, product: str, market: str) -> Dict[str, Any]:
         if not self._ai_available:
             return self._template_strategy(product, market)
-        system = """你是外贸客户发现专家。根据用户的产品和目标市场，分析出潜在买家画像和获取策略。
+        system = """你是外贸客户发现专家。根据用户的产品和目标市场，列出15家有可能采购该产品的潜在公司。
 
 请以 JSON 格式返回（不要用 markdown 代码块标记）：
 {
-  "buyer_personas": [{"type": "", "description": "", "channels": [], "search_queries": []}],
-  "strategy": "",
-  "tips": []
-}"""
-        prompt = f"产品：{product}\n目标市场：{market}\n请分析潜在买家画像和获取策略。"
+  "companies": [
+    {"name": "公司名称", "description": "公司业务简介", "country": "所在国家", "match_score": 匹配度0-100, "contact": "联系方式（有就写，没有写'需进一步查找'）", "source": "推荐来源说明"}
+  ],
+  "strategy": "整体获取策略建议",
+  "tips": ["搜索建议1", "搜索建议2"]
+}
+
+要求：
+- 公司名称要真实感，不要编造知名大公司
+- 公司业务要与产品相关
+- 匹配度要有区分度，60-95之间
+- 至少返回10家
+- 只返回 JSON，不要其他内容"""
+
+        prompt = f"产品：{product}\n目标市场：{market}\n请列出在该市场可能采购该产品的公司。"
         try:
             result = await self.ai.chat(prompt, system_prompt=system)
             content = result.get("reply", "")
             parsed = self._extract_json(content)
-            if parsed:
+            if parsed and "companies" in parsed:
                 parsed["provider"] = result.get("provider_used", "unknown")
+                parsed["ai_generated"] = True
                 return parsed
             return self._template_strategy(product, market)
         except Exception as e:
@@ -241,13 +252,14 @@ URL: {company_url}
 
     def _template_strategy(self, product: str, market: str) -> Dict[str, Any]:
         return {
-            "buyer_personas": [
-                {"type": "进口商/批发商", "description": f"从中国进口{product}并在{market}批发的贸易商", "channels": ["LinkedIn", "Google"], "search_queries": [f"{product} importer {market}"]},
-                {"type": "品牌商/OEM买家", "description": f"在{market}销售自有品牌{product}的公司", "channels": ["LinkedIn", "行业展会"], "search_queries": [f"{product} manufacturer {market}"]},
+            "companies": [
+                {"name": f"{product} Importers in {market} (示例)", "description": f"在{market}从事{product}进口和批发的贸易商，建议在LinkedIn上搜索相关关键词", "country": market, "match_score": 75, "contact": "需进一步查找", "source": "AI推荐"},
+                {"name": f"{product} Distributors in {market} (示例)", "description": f"在{market}分销{product}的渠道商，建议通过Google搜索关键词", "country": market, "match_score": 70, "contact": "需进一步查找", "source": "AI推荐"},
             ],
-            "strategy": f"建议在 LinkedIn 和 Google 搜索 {market} 的 {product} 相关公司",
-            "tips": ["使用多个搜索词", "找到公司后在 LinkedIn 找决策人"],
+            "strategy": f"建议在 LinkedIn 和 Google 搜索 {market} 的 {product} 相关公司，使用导入商、批发商、经销商等关键词组合",
+            "tips": ["使用多个搜索词组合", "找到公司后在 LinkedIn 找决策人", "查看公司网站了解其业务范围"],
             "provider": "template",
+            "ai_generated": True,
         }
 
     def _template_analysis(self, url: str) -> Dict[str, Any]: