feat: GEO/SEO structured data + search ranking tracker

scripts/outline.py

@@ -3,7 +3,7 @@
 大纲阶段：基于选题和研究笔记，用 LLM 动态生成结构化大纲
 """
 
-import json, datetime, logging, sys
+import json, datetime, logging, sys, re
 from pathlib import Path
 from typing import Dict
 
@@ -43,6 +43,21 @@ class Outliner:
         if not topic: raise ValueError(f"Topic {self.topic_id} not found")
         return topic
 
+    @staticmethod
+    def _extract_seo_keywords(research_notes: str) -> str:
+        """从研究笔记中提取 SEO 关键词"""
+        if not research_notes:
+            return "暂无"
+        # 尝试匹配 "SEO关键词建议" 块
+        m = re.search(r'(?:SEO关键词建议|SEO关键词|搜索词)[：:]\s*(.*?)(?:\n\n|\Z)', research_notes, re.DOTALL)
+        if m:
+            return m.group(1).strip()[:300]
+        # 回退：取所有 # 标签或关键词模式
+        keywords = re.findall(r'[#＃](\w{2,6})', research_notes)
+        if keywords:
+            return "、".join(keywords[:5])
+        return "暂无"
+
     def generate_outline(self) -> str:
         title = self.topic['title']
         field = self.topic.get('field', '')
@@ -50,6 +65,7 @@ class Outliner:
         pain = self.topic.get('audience_pain', '')
         angle = self.topic.get('unique_angle', '')
         cases_summary = self.research_notes[:2000] if self.research_notes else "暂无研究笔记"
+        seo_keywords = self._extract_seo_keywords(self.research_notes)
 
         if HAVE_LLM:
             _now = datetime.datetime.now()
@@ -62,6 +78,7 @@ class Outliner:
                 pain=pain,
                 angle=angle,
                 cases_summary=cases_summary,
+                seo_keywords=seo_keywords,
             )
             try:
                 params = get_prompt_params("outline_generation")