feat: GEO/SEO structured data + search ranking tracker

platform/backend/app/models.py

@@ -282,6 +282,8 @@ class Article(Base):
     topic_id = Column(String, ForeignKey("topics.id"), nullable=False)
     platform = Column(String, nullable=False)
     file_path = Column(String, nullable=False)
+    title = Column(String, nullable=True)
+    content = Column(Text, nullable=True)
     status = Column(String, default="draft")
     created_at = Column(DateTime(timezone=True), server_default=func.now())
     compliance_score = Column(Integer)
@@ -410,6 +412,7 @@ class MediaAsset(Base):
     topic_ids = Column(JSON, default=list)
     usage_count = Column(Integer, default=0)
     uploaded_by = Column(String, nullable=True)
+    org_id = Column(String, default="default", nullable=True)
     created_at = Column(DateTime(timezone=True), server_default=func.now())
     updated_at = Column(DateTime(timezone=True), onupdate=func.now())
 
@@ -853,4 +856,36 @@ class CollectorSource(Base):
             "sort_order": self.sort_order,
             "created_at": self.created_at.isoformat() if self.created_at else None,
             "updated_at": self.updated_at.isoformat() if self.updated_at else None,
+        }
+
+
+class SearchRanking(Base):
+    """搜索排名追踪"""
+    __tablename__ = "search_rankings"
+
+    id = Column(Integer, primary_key=True, index=True, autoincrement=True)
+    article_id = Column(String, ForeignKey("articles.id"), nullable=True)
+    topic_id = Column(String, ForeignKey("topics.id"), nullable=True)
+    keyword = Column(String, nullable=False, index=True)
+    platform = Column(String, nullable=True)
+    search_engine = Column(String, default="bing")  # bing / baidu / google
+    position = Column(Integer, nullable=True)  # 搜索排名位置（null = 未上榜）
+    url_found = Column(String, nullable=True)  # 被找到的具体 URL
+    ai_cited = Column(Boolean, default=False)  # 是否被 AI 搜索引用
+    ai_source = Column(String, nullable=True)  # AI 搜索来源名称
+    checked_at = Column(DateTime(timezone=True), server_default=func.now())
+
+    def to_dict(self):
+        return {
+            "id": self.id,
+            "article_id": self.article_id,
+            "topic_id": self.topic_id,
+            "keyword": self.keyword,
+            "platform": self.platform,
+            "search_engine": self.search_engine,
+            "position": self.position,
+            "url_found": self.url_found,
+            "ai_cited": self.ai_cited,
+            "ai_source": self.ai_source,
+            "checked_at": self.checked_at.isoformat() if self.checked_at else None,
         }