feat: GEO/SEO structured data + search ranking tracker

PROGRESS.md

@@ -3,7 +3,7 @@
 > 本文件为项目进度唯一真理源，所有进度信息以此为准。
 > 其他文档中的进度描述一律以本文为准。
 
-**最后更新**：2026-06-05 (v19)
+**最后更新**：2026-06-09 (v20)
 
 ---
 
@@ -158,14 +158,23 @@
 | v-cloak 修复 Vue 模板闪烁 | 2026-06-04 | 9 页 `<div id="app">` + `theme-modern.css` 的 `[v-cloak]` 规则，消除原始模板代码闪烁 |
 | **sensenova 多模型 + 模型级 rate limit** | **2026-06-04** | `LLMConfig` 加 `rate_limit`/`rate_limit_window_minutes`；seed 3 模型：deepseek-v4-flash(500次/5h)、6.7-flash-lite(1500次/5h)、u1-fast(1500次/5h)；进程内 rate limiter；`LLM_TASK_MODEL` 环境变量实现任务级模型选择；`ai_image_generator.py` 已固定用 `sensenova-u1-fast` |
 
+### ✅ 已完成
+
+| 任务 | 完成日期 | 备注 |
+|------|---------|------|
+| GEO/SEO 结构化元数据注入 | 2026-06-09 | writer.py 的 `inject_geo_metadata()` 向 HTML 注入 JSON-LD Article schema、meta description/keywords、OG tags |
+| 大纲提示词 SEO 关键词增强 | 2026-06-09 | outline.py 新增 `_extract_seo_keywords()` 从研究笔记提取关键词；outline prompt 加入 GEO 数据引用要求 |
+| 搜索排名追踪 | 2026-06-09 | `SearchRanking` 模型（文章ID/关键词/排名位置/AI引用）；`rank_tracker.py` 定时任务（每日 07:00）查 Bing 排名；`/api/seo/rankings` API；admin.html 新增"搜索排名"tab |
+
 ### ⏳ 待办
 
 | 任务 | 优先级 | 备注 |
 |------|--------|------|
+| 生成式 AI 引用检测（Perplexity/Bing AI/百度 AI 搜索） | 中 | rank_tracker 的 `ai_cited` 检测需具体实现 |
+| 百度搜索排名接入（需百度站长 API） | 中 | 当前仅 Bing，国内百度覆盖更广 |
 | admin.html 任务管理 tab（TaskConfig 参数编辑+TaskLog 历史时间轴） | 高 | 刚完成后端 DB 化，需完善前端 UI |
 | M4 第 4 篇文章发布 (首月目标) | 中 | 可用银发科技或 F01 补齐 |
 | 现有文章重新创作（清除 AI 思考内容） | 中 | writer.py 已修复，新文章不会再有；旧文章需重跑 creator.py |
-| 数据追踪接入 (阅读量/互动) | 中 | 需要对接平台 API |
 | 归档 IMPLEMENTATION_PLAN.md | 低 | 内容已过时，与实际架构不符 |
 
 ---
@@ -204,7 +213,50 @@
 
 **验证**：33/33 测试通过
 
-## 八、规范说明
+## 八、GEO/SEO 升级（v20 · 2026-06-09）
+
+### 为 AI 搜索时代而生
+
+**背景**：ChatGPT、Perplexity、百度 AI 搜索等生成式引擎正在取代传统搜索。内容被 AI 引用的价值大于单纯的关键词排名。此版本让流水线生产的内容天然符合 AI 搜索偏好。
+
+### GEO 结构化数据
+
+每篇生成的 HTML 自动注入：
+
+- **JSON-LD Article schema** — `@context: schema.org`，含 headline/description/datePublished/author/publisher/keywords
+- **SEO meta tags** — `<meta name="description">`, `<meta name="keywords">`
+- **Open Graph tags** — `og:title`, `og:description`, `og:type`, `og:site_name`, `article:published_time`
+- **平台专用** — wechat/xiaohongshu 额外注入 `og:image`
+
+### 大纲 SEO 增强
+
+- outline prompt 新增 `seo_keywords` 变量（从研究笔记自动提取）
+- 每章要求至少融入 1 个 SEO 关键词
+- 新增 GEO 要求：每章包含可引用数据点，增加被 AI 搜索引用的概率
+
+### 搜索排名追踪
+
+| 模块 | 说明 |
+|------|------|
+| `SearchRanking` 模型 | 记录 article_id/keyword/position/url_found/ai_cited/search_engine |
+| `scripts/rank_tracker.py` | 对所有已发布文章，自动生成搜索查询 → 调用 Bing API 查排名 → 写入 DB |
+| 定时任务 | `scheduled_rank_tracker` 每日 07:00 自动运行 |
+| 管理后台 | admin.html 新增「搜索排名」tab，展示概览统计（累计检查/有排名/AI引用/最佳排名）+ 排名列表 |
+
+### 关键文件
+
+| 文件 | 改动 |
+|------|------|
+| `scripts/writer.py` | 新增 `inject_geo_metadata()`, `_extract_description()`, `_extract_tags_list()` — 在 `generate_platform_html()` 末尾注入 |
+| `scripts/outline.py` | 新增 `_extract_seo_keywords()` — 传入 outline prompt |
+| `scripts/prompt_loader.py` | outline_generation 提示词加入 `seo_keywords` 变量 + GEO 数据点要求 |
+| `scripts/rank_tracker.py` | 新建 — Bing 排名查询 + DB 写入 |
+| `platform/backend/app/models.py` | 新增 `SearchRanking` 模型 |
+| `platform/backend/app/api/search_rankings.py` | 新建 — `/api/seo/rankings` + `/api/seo/rankings/overview` |
+| `platform/backend/app/core/scheduler.py` | 新增 `scheduled_rank_tracker` 07:00 |
+| `platform/frontend/admin.html` | 新增「搜索排名」tab（统计卡片 + el-table 排名列表） |
+
+## 九、规范说明
 
 ### 规划文档
 

platform/backend/app/api/admin.py

@@ -78,6 +78,8 @@ def update_user(
     user = db.query(User).filter(User.id == user_id).first()
     if not user:
         raise HTTPException(status_code=404, detail="用户不存在")
+    if admin_user.role != "admin" and user.org_id != admin_user.org_id:
+        raise HTTPException(status_code=404, detail="用户不存在")
 
     changes = {}
     if user_update.username is not None:
@@ -122,6 +124,8 @@ def delete_user(
     user = db.query(User).filter(User.id == user_id).first()
     if not user:
         raise HTTPException(status_code=404, detail="用户不存在")
+    if admin_user.role != "admin" and user.org_id != admin_user.org_id:
+        raise HTTPException(status_code=404, detail="用户不存在")
 
     if user.role == "admin":
         raise HTTPException(status_code=400, detail="不能删除管理员用户")

platform/backend/app/api/articles.py

@@ -83,6 +83,8 @@ def get_article_detail(article_id: str, current_user: User = Depends(get_current
         "topic_title": topic.title if topic else None,
         "platform": article.platform,
         "file_path": article.file_path,
+        "title": article.title,
+        "content": article.content,
         "status": article.status,
         "compliance_score": article.compliance_score,
         "word_count": article.word_count,

platform/backend/app/api/assets.py

@@ -10,7 +10,7 @@ from typing import List, Optional
 from ..database import get_db
 from ..models import MediaAsset
 from ..schemas import MediaAssetCreate, MediaAssetUpdate, MediaAssetResponse
-from .auth import get_current_user
+from .auth import get_current_user, org_filter
 
 router = APIRouter(prefix="/api/assets", tags=["assets"])
 
@@ -33,6 +33,9 @@ def list_assets(
     current_user=Depends(get_current_user)
 ):
     query = db.query(MediaAsset)
+    of = org_filter(current_user, MediaAsset)
+    if of is not True:
+        query = query.filter(of)
 
     if file_type:
         query = query.filter(MediaAsset.file_type == file_type)
@@ -54,7 +57,11 @@ def list_tags(
     db: Session = Depends(get_db),
     current_user=Depends(get_current_user)
 ):
-    assets = db.query(MediaAsset.tags).all()
+    of = org_filter(current_user, MediaAsset)
+    base = db.query(MediaAsset)
+    if of is not True:
+        base = base.filter(of)
+    assets = base.with_entities(MediaAsset.tags).all()
     all_tags = set()
     for a in assets:
         if a[0]:
@@ -67,9 +74,13 @@ def get_counts(
     db: Session = Depends(get_db),
     current_user=Depends(get_current_user)
 ):
-    total = db.query(MediaAsset).count()
+    of = org_filter(current_user, MediaAsset)
+    base = db.query(MediaAsset)
+    if of is not True:
+        base = base.filter(of)
+    total = base.count()
     by_type = {}
-    rows = db.query(MediaAsset.file_type, func.count(MediaAsset.id)).group_by(MediaAsset.file_type).all()
+    rows = base.with_entities(MediaAsset.file_type, func.count(MediaAsset.id)).group_by(MediaAsset.file_type).all()
     for ftype, cnt in rows:
         by_type[ftype] = cnt
     return {"total": total, "by_type": by_type}
@@ -120,7 +131,8 @@ async def upload_asset(
         alt_text=alt_text,
         tags=parsed_tags,
         topic_ids=parsed_topic_ids,
-        uploaded_by=current_user.username
+        uploaded_by=current_user.username,
+        org_id=current_user.org_id or "default",
     )
     db.add(asset)
     db.commit()
@@ -138,6 +150,8 @@ def update_asset(
     asset = db.query(MediaAsset).filter(MediaAsset.id == asset_id).first()
     if not asset:
         raise HTTPException(status_code=404, detail="素材不存在")
+    if current_user.role != "admin" and asset.org_id != current_user.org_id:
+        raise HTTPException(status_code=404, detail="素材不存在")
 
     for k, v in data.model_dump(exclude_unset=True).items():
         setattr(asset, k, v)
@@ -155,6 +169,8 @@ def delete_asset(
     asset = db.query(MediaAsset).filter(MediaAsset.id == asset_id).first()
     if not asset:
         raise HTTPException(status_code=404, detail="素材不存在")
+    if current_user.role != "admin" and asset.org_id != current_user.org_id:
+        raise HTTPException(status_code=404, detail="素材不存在")
 
     if os.path.exists(asset.file_path):
         try:
@@ -176,6 +192,8 @@ def increment_usage(
     asset = db.query(MediaAsset).filter(MediaAsset.id == asset_id).first()
     if not asset:
         raise HTTPException(status_code=404, detail="素材不存在")
+    if current_user.role != "admin" and asset.org_id != current_user.org_id:
+        raise HTTPException(status_code=404, detail="素材不存在")
     asset.usage_count = (asset.usage_count or 0) + 1
     db.commit()
     return {"ok": True, "usage_count": asset.usage_count}

platform/backend/app/api/assistant_actions.py

@@ -15,12 +15,15 @@ def list_topics(
     page: int = 1,
     page_size: int = 20,
     status: Optional[str] = None,
-    field: Optional[str] = None
+    field: Optional[str] = None,
+    org_id: Optional[str] = None,
 ) -> Dict[str, Any]:
     """获取选题列表，支持分页和筛选"""
     db = SessionLocal()
     try:
         query = db.query(Topic)
+        if org_id:
+            query = query.filter(Topic.org_id == org_id)
         if status:
             query = query.filter(Topic.status == status)
         if field:
@@ -51,11 +54,14 @@ def list_topics(
         db.close()
 
 
-def get_topic(topic_id: str) -> Dict[str, Any]:
+def get_topic(topic_id: str, org_id: Optional[str] = None) -> Dict[str, Any]:
     """获取单个选题详情"""
     db = SessionLocal()
     try:
-        t = db.query(Topic).filter(Topic.id == topic_id).first()
+        query = db.query(Topic).filter(Topic.id == topic_id)
+        if org_id:
+            query = query.filter(Topic.org_id == org_id)
+        t = query.first()
         if not t:
             return {"error": f"选题 {topic_id} 不存在"}
         return {
@@ -191,19 +197,21 @@ def list_system_configs() -> List[Dict[str, Any]]:
 ACTION_REGISTRY = {
     "list_topics": {
         "func": list_topics,
-        "description": "获取选题列表，支持分页(page, page_size)和筛选(status, field)",
+        "description": "获取选题列表，支持分页(page, page_size)和筛选(status, field, org_id)",
         "params_schema": {
             "page": {"type": "integer", "default": 1, "desc": "页码"},
             "page_size": {"type": "integer", "default": 20, "desc": "每页条数"},
             "status": {"type": "string", "enum": ["pending", "review", "draft", "ready", "published"], "desc": "按状态筛选"},
-            "field": {"type": "string", "desc": "按领域筛选"}
+            "field": {"type": "string", "desc": "按领域筛选"},
+            "org_id": {"type": "string", "desc": "按组织筛选"}
         }
     },
     "get_topic": {
         "func": get_topic,
         "description": "获取单个选题详情",
         "params_schema": {
-            "topic_id": {"type": "string", "desc": "选题ID，如 A01 或 LIVING-001-26"}
+            "topic_id": {"type": "string", "desc": "选题ID，如 A01 或 LIVING-001-26"},
+            "org_id": {"type": "string", "desc": "按组织筛选（可选）"}
         }
     },
     "get_recent_task_logs": {

platform/backend/app/api/calendar.py

@@ -120,6 +120,11 @@ def update_entry(
     if not entry:
         raise HTTPException(status_code=404, detail="日历条目不存在")
 
+    if entry.topic_id:
+        topic = db.query(Topic).filter(Topic.id == entry.topic_id).first()
+        if topic and current_user.role != "admin" and topic.org_id != current_user.org_id:
+            raise HTTPException(status_code=404, detail="日历条目不存在")
+
     for k, v in data.model_dump(exclude_unset=True).items():
         setattr(entry, k, v)
     db.commit()
@@ -147,6 +152,10 @@ def delete_entry(
     entry = db.query(ContentCalendar).filter(ContentCalendar.id == entry_id).first()
     if not entry:
         raise HTTPException(status_code=404, detail="日历条目不存在")
+    if entry.topic_id:
+        topic = db.query(Topic).filter(Topic.id == entry.topic_id).first()
+        if topic and current_user.role != "admin" and topic.org_id != current_user.org_id:
+            raise HTTPException(status_code=404, detail="日历条目不存在")
     db.delete(entry)
     db.commit()
     return {"ok": True}

platform/backend/app/api/metrics.py

@@ -186,6 +186,13 @@ def create_metric(
     return metric
 
 
+def _check_metric_org(metric, current_user, db):
+    """Check if metric's topic belongs to user's org"""
+    topic = db.query(Topic).filter(Topic.id == metric.topic_id).first()
+    if topic and current_user.role != "admin" and topic.org_id != current_user.org_id:
+        raise HTTPException(status_code=404, detail="数据记录不存在")
+
+
 @router.put("/entries/{metric_id}", response_model=ContentMetricsResponse)
 def update_metric(
     metric_id: int,
@@ -196,6 +203,7 @@ def update_metric(
     metric = db.query(ContentMetrics).filter(ContentMetrics.id == metric_id).first()
     if not metric:
         raise HTTPException(status_code=404, detail="数据记录不存在")
+    _check_metric_org(metric, current_user, db)
 
     for k, v in data.model_dump(exclude_unset=True).items():
         setattr(metric, k, v)
@@ -214,6 +222,7 @@ def delete_metric(
     metric = db.query(ContentMetrics).filter(ContentMetrics.id == metric_id).first()
     if not metric:
         raise HTTPException(status_code=404, detail="数据记录不存在")
+    _check_metric_org(metric, current_user, db)
     db.delete(metric)
     db.commit()
     return {"ok": True}
@@ -357,6 +366,8 @@ def fetch_zhihu_metrics(
     topic = db.query(Topic).filter(Topic.id == data.topic_id).first()
     if not topic:
         raise HTTPException(status_code=404, detail="选题不存在")
+    if current_user.role != "admin" and topic.org_id != current_user.org_id:
+        raise HTTPException(status_code=404, detail="选题不存在")
 
     post_id = _extract_zhihu_post_id(data.zhihu_url)
 

platform/backend/app/api/search_rankings.py

@@ -0,0 +1,77 @@
+from fastapi import APIRouter, Depends, HTTPException, Query
+from sqlalchemy.orm import Session
+from sqlalchemy import desc, func
+from typing import Optional
+from datetime import datetime, timedelta, timezone
+
+from ..database import get_db
+from ..models import SearchRanking, Article, Topic
+from .auth import get_current_user, org_filter
+
+router = APIRouter(prefix="/api/seo", tags=["seo"])
+
+ArticleModel = Article
+
+
+def _apply_org_filter(query, current_user, db):
+    of = org_filter(current_user, ArticleModel)
+    if of is not True:
+        query = query.join(ArticleModel, SearchRanking.article_id == ArticleModel.id, isouter=True)
+        query = query.filter(of)
+    return query
+
+
+@router.get("/rankings")
+def get_rankings(
+    article_id: Optional[str] = None,
+    keyword: Optional[str] = None,
+    days: int = Query(30, ge=1, le=365),
+    limit: int = Query(50, ge=1, le=200),
+    db: Session = Depends(get_db),
+    current_user: dict = Depends(get_current_user),
+):
+    """获取搜索排名数据"""
+    query = db.query(SearchRanking)
+    query = _apply_org_filter(query, current_user, db)
+
+    if article_id:
+        query = query.filter(SearchRanking.article_id == article_id)
+    if keyword:
+        query = query.filter(SearchRanking.keyword.ilike(f"%{keyword}%"))
+
+    cutoff = datetime.now(timezone.utc) - timedelta(days=days)
+    query = query.filter(SearchRanking.checked_at >= cutoff)
+
+    rankings = query.order_by(desc(SearchRanking.checked_at)).limit(limit).all()
+    return {"ok": True, "data": [r.to_dict() for r in rankings]}
+
+
+@router.get("/rankings/overview")
+def get_rankings_overview(
+    days: int = Query(30, ge=1, le=365),
+    db: Session = Depends(get_db),
+    current_user: dict = Depends(get_current_user),
+):
+    """搜索排名概览统计"""
+    cutoff = datetime.now(timezone.utc) - timedelta(days=days)
+
+    base = db.query(SearchRanking)
+    base = _apply_org_filter(base, current_user, db)
+    base = base.filter(SearchRanking.checked_at >= cutoff)
+
+    total_checks = base.count()
+    on_page = base.filter(SearchRanking.position.isnot(None)).count()
+    ai_cited = base.filter(SearchRanking.ai_cited == True).count()
+
+    best = base.filter(SearchRanking.position.isnot(None)).order_by(SearchRanking.position).first()
+
+    return {
+        "ok": True,
+        "data": {
+            "total_checks": total_checks,
+            "on_page": on_page,
+            "ai_cited": ai_cited,
+            "best_position": best.position if best else None,
+            "best_keyword": best.keyword if best else None,
+        }
+    }

platform/backend/app/api/system.py

@@ -114,7 +114,7 @@ def _aggregate_status_counts(q):
     return counts
 
 @router.get("/status")
-def get_status(db: Session = Depends(get_db)):
+def get_status(db: Session = Depends(get_db), current_user=Depends(get_current_user)):
     total = db.query(Topic).count()
     counts = _aggregate_status_counts(db.query(Topic))
     today = date.today()
@@ -243,15 +243,16 @@ def get_pipeline_status(db: Session = Depends(get_db), current_user=Depends(get_
     return {"topics_count": total, "status_distribution": counts, "pipeline_modules": pipeline_status}
 
 @router.post("/sync/run")
-def run_sync():
+def run_sync(current_user=Depends(get_current_user)):
     try:
         sync_all_topics()
         return {"message": "Sync completed (DB → JSON backup)"}
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))
 
+
 @router.post("/optimize-sources/run")
-def trigger_optimize_sources():
+def trigger_optimize_sources(current_user=Depends(get_current_user)):
     try:
         from ..core.scheduler import scheduler
         def _bg():
@@ -265,8 +266,9 @@ def trigger_optimize_sources():
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))
 
+
 @router.post("/metrics-sync/run")
-def trigger_metrics_sync():
+def trigger_metrics_sync(current_user=Depends(get_current_user)):
     try:
         from ..core.scheduler import scheduler
         def _bg():
@@ -330,7 +332,7 @@ def list_automation_topics(db: Session = Depends(get_db), current_user=Depends(g
         raise HTTPException(status_code=500, detail=str(e))
 
 @router.post("/refresh")
-def refresh_all():
+def refresh_all(current_user=Depends(get_current_user)):
     try:
         sync_all_topics()
         return {"message": "Refresh completed"}

platform/backend/app/api/tasks.py

@@ -14,6 +14,16 @@ _creator_semaphore = threading.Semaphore(3)
 router = APIRouter(prefix="/api/tasks", tags=["tasks"])
 
 
+def _check_task_org(task, current_user, db):
+    """Check if task's topic belongs to user's org"""
+    if current_user.role == "admin" or not task.topic_id:
+        return True
+    topic = db.query(Topic).filter(Topic.id == task.topic_id).first()
+    if topic and topic.org_id != current_user.org_id:
+        raise HTTPException(status_code=404, detail="任务不存在")
+    return True
+
+
 @router.get("", response_model=List[ContentTaskResponse])
 def list_tasks(
     status: Optional[str] = None,
@@ -94,6 +104,7 @@ def get_task(
     task = db.query(ContentTask).filter(ContentTask.task_id == task_id).first()
     if not task:
         raise HTTPException(status_code=404, detail="任务不存在")
+    _check_task_org(task, current_user, db)
     return task
 
 
@@ -106,6 +117,7 @@ def start_task(
     task = db.query(ContentTask).filter(ContentTask.task_id == task_id).first()
     if not task:
         raise HTTPException(status_code=404, detail="任务不存在")
+    _check_task_org(task, current_user, db)
 
     from datetime import datetime, timezone
     task.status = "running"
@@ -128,6 +140,7 @@ def update_progress(
     task = db.query(ContentTask).filter(ContentTask.task_id == task_id).first()
     if not task:
         raise HTTPException(status_code=404, detail="任务不存在")
+    _check_task_org(task, current_user, db)
 
     task.progress = progress
     if message:
@@ -148,6 +161,7 @@ def complete_task(
     task = db.query(ContentTask).filter(ContentTask.task_id == task_id).first()
     if not task:
         raise HTTPException(status_code=404, detail="任务不存在")
+    _check_task_org(task, current_user, db)
 
     from datetime import datetime, timezone
     finished = datetime.now(timezone.utc)
@@ -175,6 +189,7 @@ def fail_task(
     task = db.query(ContentTask).filter(ContentTask.task_id == task_id).first()
     if not task:
         raise HTTPException(status_code=404, detail="任务不存在")
+    _check_task_org(task, current_user, db)
 
     from datetime import datetime, timezone
     finished = datetime.now(timezone.utc)
@@ -197,6 +212,7 @@ def cancel_task(
     task = db.query(ContentTask).filter(ContentTask.task_id == task_id).first()
     if not task:
         raise HTTPException(status_code=404, detail="任务不存在")
+    _check_task_org(task, current_user, db)
 
     task.status = "cancelled"
     db.commit()
@@ -406,6 +422,13 @@ def run_creator_task(
 ):
     from datetime import datetime, timezone
 
+    if topic_id:
+        topic = db.query(Topic).filter(Topic.id == topic_id).first()
+        if not topic:
+            raise HTTPException(status_code=404, detail="选题不存在")
+        if current_user.role != "admin" and topic.org_id != current_user.org_id:
+            raise HTTPException(status_code=404, detail="选题不存在")
+
     now = datetime.now(timezone.utc)
     task_id = f"task_{uuid.uuid4().hex[:16]}"
 

platform/backend/app/api/topics.py

@@ -9,7 +9,9 @@ from ..database import get_db
 from ..models import Topic, TopicField, TopicConfigField, Article, ContentMetrics
 from ..schemas import (
     TopicCreate, TopicUpdate, TopicResponse, TopicScoreRequest,
+    TopicAnalyzeRequest, TopicAnalyzeResponse,
 )
+from ..core.nvidia_client import call_llm
 from .auth import get_current_user, org_filter
 
 router = APIRouter(prefix="/api/topics", tags=["topics"], dependencies=[Depends(get_current_user)])
@@ -93,6 +95,65 @@ def topic_stats(
     }
 
 
+@router.post("/analyze", response_model=TopicAnalyzeResponse)
+def analyze_topic(
+    data: TopicAnalyzeRequest,
+    db: Session = Depends(get_db),
+    current_user=Depends(get_current_user)
+):
+    """AI 分析用户输入的选题思路，返回结构化的选题信息"""
+    import json, re
+    from sqlalchemy import text as sa_text
+
+    refs = "\n".join(f"- {link}" for link in data.reference_links) if data.reference_links else "无"
+    prompt_text = f"""你是一个专业的内容策略师。用户提供了一个选题思路，请分析并提炼为结构化的选题信息。
+
+用户输入的原始内容：
+{data.raw_input}
+
+参考链接（如有）：
+{refs}
+
+请输出 JSON（只输出 JSON，不要其他文字）：
+{{
+  "title": "优化后的选题标题（20字内，含核心关键词，有吸引力）",
+  "format": "内容形式（趋势洞察/实操指南/对比分析/案例解读/观点讨论）",
+  "core_concept": "核心观点（一句话说清独特价值，20字内）",
+  "audience_pain": "受众痛点（目标读者的真实困惑或需求，20字内）",
+  "unique_angle": "差异化切入点（与常见文章不同的视角，20字内）",
+  "tags": ["标签1", "标签2", "标签3", "标签4", "标签5"]
+}}"""
+
+    try:
+        resp = call_llm(prompt_text, temperature=0.6, max_tokens=1500)
+    except Exception as e:
+        raise HTTPException(status_code=503, detail=f"AI 分析失败: {str(e)}")
+
+    # Parse JSON from response
+    resp = resp.strip()
+    # Remove markdown code fences if present
+    resp = re.sub(r'^```(?:json)?\s*', '', resp)
+    resp = re.sub(r'\s*```$', '', resp)
+    parsed = json.loads(resp)
+
+    field_name = None
+    if data.field_id:
+        field = db.query(TopicField).filter(TopicField.id == data.field_id).first()
+        if field:
+            field_name = field.name
+
+    return TopicAnalyzeResponse(
+        title=parsed.get("title", ""),
+        format=parsed.get("format", ""),
+        core_concept=parsed.get("core_concept", ""),
+        audience_pain=parsed.get("audience_pain", ""),
+        unique_angle=parsed.get("unique_angle", ""),
+        field_name=field_name,
+        tags=parsed.get("tags", []),
+        priority="中",
+    )
+
+
 @router.post("", response_model=TopicResponse)
 def create_topic(
     data: TopicCreate,
@@ -111,7 +172,7 @@ def create_topic(
         else:
             topic_id = f"T{datetime.now().strftime('%m%d%H%M')}"
 
-    field_name = None
+    field_name = "未分类"
     if data.field_id:
         field = db.query(TopicField).filter(TopicField.id == data.field_id).first()
         if field:
@@ -164,7 +225,7 @@ def update_topic(
         topic.field_id = data.field_id
         if data.field_id:
             field = db.query(TopicField).filter(TopicField.id == data.field_id).first()
-            topic.field_name = field.name if field else None
+            topic.field_name = field.name if field else '未分类'
 
     for k, v in data.model_dump(exclude_unset=True, exclude={"field_id"}).items():
         if k == "tags" or k == "custom_data" or k == "scoring_data":

platform/backend/app/core/scheduler.py

@@ -56,6 +56,7 @@ MODULES = {
     "scheduled_metrics_sync": {"name": "📊 指标同步", "cron": "06:00"},
     "scheduled_reset_search_usage": {"name": "🔁 搜索用量重置", "cron": "00:05"},
     "scheduled_task_monitor": {"name": "⏰ 任务监控", "cron": "*"},
+    "scheduled_rank_tracker": {"name": "🔍 搜索排名追踪", "cron": "07:00"},
 }
 
 LOG_FILE_MAP = {
@@ -67,6 +68,7 @@ LOG_FILE_MAP = {
     "scheduled_metrics_sync": "metrics_sync",
     "scheduled_reset_search_usage": "reset_search_usage",
     "scheduled_task_monitor": "task_monitor",
+    "scheduled_rank_tracker": "rank_tracker",
 }
 
 def _log_to_file(module_id: str, status: str, message: str = None, error_trace: str = None):
@@ -182,6 +184,7 @@ class TaskScheduler:
             ("scheduled_optimize_sources", self._run_optimize_sources, "信息源优化"),
             ("scheduled_metrics_sync", self._run_metrics_sync, "指标同步"),
             ("scheduled_reset_search_usage", self._run_reset_search_usage, "搜索用量重置"),
+            ("scheduled_rank_tracker", self._run_rank_tracker, "搜索排名追踪"),
         ]
 
         for module_id, fn, name in MODULE_JOBS:
@@ -585,6 +588,40 @@ class TaskScheduler:
                       started_at=started, finished_at=datetime.now(timezone.utc))
             logger.exception("[TaskMonitor] 监控检查失败: %s", e)
 
+    def _run_rank_tracker(self):
+        """每日搜索排名追踪（Bing 查询关键词排名）"""
+        started = datetime.now(timezone.utc)
+        log_id = _log_task("scheduled_rank_tracker", "running", started_at=started)
+        try:
+            import subprocess
+            result = subprocess.run(
+                [sys.executable, str(PROJECT_ROOT / "scripts" / "rank_tracker.py"), "--engine", "bing"],
+                capture_output=True, text=True, timeout=300
+            )
+            if result.returncode == 0:
+                try:
+                    data = json.loads(result.stdout.strip())
+                except json.JSONDecodeError:
+                    data = {}
+                _log_task("scheduled_rank_tracker", "success", log_id=log_id,
+                          message=f"追踪完成: {data.get('keywords_checked', 0)} 关键词, "
+                                  f"{data.get('on_page', 0)} 条有排名",
+                          result_data=data,
+                          started_at=started, finished_at=datetime.now(timezone.utc))
+                logger.info("[RankTracker] 完成: %s", result.stdout.strip()[:200])
+            else:
+                _log_task("scheduled_rank_tracker", "failed", log_id=log_id,
+                          message=f"返回码 {result.returncode}",
+                          error_trace=result.stderr[-500:],
+                          started_at=started, finished_at=datetime.now(timezone.utc))
+        except Exception as e:
+            import traceback
+            _log_task("scheduled_rank_tracker", "failed", log_id=log_id,
+                      message=str(e),
+                      error_trace=traceback.format_exc(),
+                      started_at=started, finished_at=datetime.now(timezone.utc))
+            logger.exception("[RankTracker] 排名追踪失败: %s", e)
+
     def get_jobs(self):
         """返回当前所有定时任务的状态"""
         jobs = []

platform/backend/app/database.py

@@ -56,7 +56,10 @@ def init_db():
                 conn.execute(text("ALTER TABLE articles ADD COLUMN IF NOT EXISTS images TEXT DEFAULT '{}'"))
             for table, col, typ in [
                 ("users", "org_id", "VARCHAR DEFAULT 'default'"),
+                ("articles", "title", "VARCHAR"),
+                ("articles", "content", "TEXT"),
                 ("articles", "updated_at", "TIMESTAMP"),
+                ("media_assets", "org_id", "VARCHAR DEFAULT 'default'"),
                 ("topics", "org_id", "VARCHAR DEFAULT 'default'"),
                 ("topics", "reviewed_at", "TIMESTAMP"),
                 ("platform_configs", "requires_image", "BOOLEAN DEFAULT FALSE"),

platform/backend/app/main.py

@@ -9,7 +9,7 @@ from pathlib import Path
 
 from .database import engine, get_db, init_db
 from .models import Base
-from .api import topics, system, articles, publishing, auth, admin, audit, optimizer_logs, cases, task_logs, task_configs, prompt_configs, llm_configs, system_configs, topic_config, calendar, metrics, assets, tasks, platform_config, collector_mgmt, assistant, config_items, role_configs, menu_configs, search_providers
+from .api import topics, system, articles, publishing, auth, admin, audit, optimizer_logs, cases, task_logs, task_configs, prompt_configs, llm_configs, system_configs, topic_config, calendar, metrics, assets, tasks, platform_config, collector_mgmt, assistant, config_items, role_configs, menu_configs, search_providers, search_rankings
 from .initial_data import import_initial_data
 from .core.scheduler import scheduler
 
@@ -104,6 +104,7 @@ app.include_router(role_configs.router)
 app.include_router(menu_configs.router)
 app.include_router(menu_configs.public_router)
 app.include_router(search_providers.router)
+app.include_router(search_rankings.router)
 
 # 挂载自动生成的图片（必须先于前端根挂载）
 PROJECT_ROOT_DIR = Path(__file__).parent.parent.parent.parent

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())
 
@@ -854,3 +857,35 @@ class CollectorSource(Base):
             "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,
+        }

platform/backend/app/schemas.py

@@ -92,6 +92,23 @@ class TopicCreate(BaseModel):
     scoring_data: Dict[str, Any] = {}
 
 
+class TopicAnalyzeRequest(BaseModel):
+    raw_input: str = Field(..., min_length=1, description="用户输入的选题思路/内容描述")
+    reference_links: List[str] = Field(default=[], description="参考链接列表（可选）")
+    field_id: Optional[int] = Field(default=None, description="所属领域ID（可选）")
+
+
+class TopicAnalyzeResponse(BaseModel):
+    title: str
+    format: str
+    core_concept: str
+    audience_pain: str
+    unique_angle: str
+    field_name: Optional[str] = None
+    tags: List[str] = []
+    priority: str = "中"
+
+
 class TopicUpdate(BaseModel):
     field_id: Optional[int] = None
     title: Optional[str] = None
@@ -131,6 +148,8 @@ class ArticleBase(BaseModel):
     topic_id: str
     platform: str
     file_path: str
+    title: Optional[str] = None
+    content: Optional[str] = None
     status: str = "draft"
     compliance_score: Optional[int] = None
     word_count: Optional[int] = None

platform/frontend/admin.html

@@ -32,6 +32,7 @@
                             <el-button size="default" :type="activeTab === 'logs' ? 'primary' : ''" @click="switchTab('logs')">运行日志</el-button>
                             <el-button size="default" :type="activeTab === 'assistant' ? 'primary' : ''" @click="switchTab('assistant')">AI 助手</el-button>
                             <el-button size="default" :type="activeTab === 'searchproviders' ? 'primary' : ''" @click="switchTab('searchproviders')">搜索API</el-button>
+                            <el-button size="default" :type="activeTab === 'searchrankings' ? 'primary' : ''" @click="switchTab('searchrankings')">搜索排名</el-button>
                             <el-button size="default" :type="activeTab === 'configitems' ? 'primary' : ''" @click="switchTab('configitems')">配置管理</el-button>
                         </div>
                     </div>
@@ -607,6 +608,53 @@
                         <template #footer><el-button @click="searchProviderTestVisible = false">关闭</el-button></template>
                     </el-dialog>
 
+                    <div v-if="activeTab === 'searchrankings'">
+                        <div class="toolbar">
+                            <span style="font-size:13px;color:#909399;">GEO/SEO 搜索排名追踪 — 每日 07:00 自动检查</span>
+                        </div>
+                        <div v-if="rankingsLoading" class="card-loading">加载中...</div>
+                        <template v-else>
+                            <div style="display:flex;gap:16px;margin-bottom:16px;flex-wrap:wrap;">
+                                <div class="stat-card" style="flex:1;min-width:140px;padding:16px;background:#f0f9ff;border-radius:8px;text-align:center;">
+                                    <div style="font-size:28px;font-weight:700;color:#409eff;">{{ rankingStats.total_checks }}</div>
+                                    <div style="font-size:12px;color:#909399;margin-top:4px;">累计检查关键词</div>
+                                </div>
+                                <div class="stat-card" style="flex:1;min-width:140px;padding:16px;background:#f0fdf4;border-radius:8px;text-align:center;">
+                                    <div style="font-size:28px;font-weight:700;color:#67c23a;">{{ rankingStats.on_page }}</div>
+                                    <div style="font-size:12px;color:#909399;margin-top:4px;">有排名关键词</div>
+                                </div>
+                                <div class="stat-card" style="flex:1;min-width:140px;padding:16px;background:#fef3f2;border-radius:8px;text-align:center;">
+                                    <div style="font-size:28px;font-weight:700;color:#f56c6c;">{{ rankingStats.ai_cited }}</div>
+                                    <div style="font-size:12px;color:#909399;margin-top:4px;">AI 搜索引用</div>
+                                </div>
+                                <div class="stat-card" style="flex:1;min-width:140px;padding:16px;background:#fff7e6;border-radius:8px;text-align:center;">
+                                    <div style="font-size:28px;font-weight:700;color:#e6a23c;">{{ rankingStats.best_position ? '#' + rankingStats.best_position : '-' }}</div>
+                                    <div style="font-size:12px;color:#909399;margin-top:4px;">最佳排名</div>
+                                </div>
+                            </div>
+
+                            <el-table :data="rankings" style="width:100%" size="small" max-height="500">
+                                <el-table-column prop="keyword" label="关键词" min-width="140" />
+                                <el-table-column prop="platform" label="平台" width="80" />
+                                <el-table-column prop="search_engine" label="引擎" width="70" />
+                                <el-table-column prop="position" label="排名" width="70">
+                                    <template #default="{ row }">
+                                        <el-tag :type="row.position && row.position <= 3 ? 'success' : row.position ? 'warning' : 'info'" size="small">
+                                            {{ row.position ? '#' + row.position : '未上榜' }}
+                                        </el-tag>
+                                    </template>
+                                </el-table-column>
+                                <el-table-column prop="ai_cited" label="AI引用" width="80">
+                                    <template #default="{ row }">
+                                        <el-tag :type="row.ai_cited ? 'success' : 'info'" size="small">{{ row.ai_cited ? '是' : '否' }}</el-tag>
+                                    </template>
+                                </el-table-column>
+                                <el-table-column prop="url_found" label="匹配 URL" min-width="200" show-overflow-tooltip />
+                                <el-table-column prop="checked_at" label="检查时间" width="160" />
+                            </el-table>
+                        </template>
+                    </div>
+
                     <div v-if="activeTab === 'configitems'">
                         <div class="filter-bar">
                             <el-button size="default" :type="configSubTab === 'sensitive' ? 'primary' : ''" @click="switchConfigSubTab('sensitive')">🔒 敏感词</el-button>
@@ -634,7 +682,7 @@
                                             <el-tag size="small">{{ row.category || '未分类' }}</el-tag>
                                         </template>
                                     </el-table-column>
-                                    <el-table-column label="操作" width="120">
+                                    <el-table-column label="操作" width="150">
                                         <template #default="{ row }">
                                             <el-button size="small" @click="editSensitiveWord(row)">编辑</el-button>
                                             <el-button size="small" type="danger" @click="deleteSensitiveWord(row)">删除</el-button>
@@ -682,7 +730,7 @@
                                             <el-tag :type="row.is_active ? 'success' : 'info'" size="small">{{ row.is_active ? '启用' : '停用' }}</el-tag>
                                         </template>
                                     </el-table-column>
-                                    <el-table-column label="操作" width="120">
+                                    <el-table-column label="操作" width="150">
                                         <template #default="{ row }">
                                             <el-button size="small" @click="editCleanRule(row)">编辑</el-button>
                                             <el-button size="small" type="danger" @click="deleteCleanRule(row)">删除</el-button>
@@ -1270,6 +1318,20 @@ const llmConfigs = ref([]);
                     return Object.entries(map).sort((a, b) => a[0].localeCompare(b[0]));
                 });
 
+                const rankings = ref([]);
+                const rankingStats = ref({ total_checks: 0, on_page: 0, ai_cited: 0, best_position: null });
+                const rankingsLoading = ref(false);
+                const loadRankings = async () => {
+                    rankingsLoading.value = true;
+                    try {
+                        const resp = await api.get('/api/seo/rankings?limit=100');
+                        rankings.value = resp.data || [];
+                        const overview = await api.get('/api/seo/rankings/overview');
+                        rankingStats.value = overview.data || { total_checks: 0, on_page: 0, ai_cited: 0, best_position: null };
+                    } catch (e) { console.error('加载排名数据失败:', e); }
+                    finally { rankingsLoading.value = false; }
+                };
+
                 const contentCleanRules = ref([]);
                 const ccrLoading = ref(false);
                 const ccrDialogVisible = ref(false);
@@ -1319,6 +1381,7 @@ const llmConfigs = ref([]);
                     users: fetchUsers,
                     logs: loadLogTypes, orgs: loadOrgs, roles: loadRoles, menus: loadMenus, assistant: loadAssistantConfig,
                     searchproviders: loadSearchProviders,
+                    searchrankings: loadRankings,
                     configitems: () => { loadSensitiveWords(); loadContentCleanRules(); },
                 };
                 const loadedTabs = new Set([]);
@@ -1378,6 +1441,7 @@ const llmConfigs = ref([]);
                     sensitiveWords, swLoading, swDialogVisible, swSaving, swForm, editingSwId, loadSensitiveWords, showAddSensitiveWord, editSensitiveWord, saveSensitiveWord, deleteSensitiveWord, configSubTab, switchConfigSubTab,
                     contentCleanRules, ccrLoading, ccrDialogVisible, ccrDialogTitle, ccrSaving, ccrForm, editingCcrId,
                     loadContentCleanRules, showAddCleanRule, editCleanRule, saveCleanRule, deleteCleanRule,
+                    rankings, rankingStats, rankingsLoading, loadRankings,
                 };
             }
         });

platform/frontend/articles.html

@@ -124,8 +124,8 @@
                         <el-button v-if="previewFullscreen" size="small" type="danger" @click="previewVisible = false">关闭</el-button>
                     </div>
                 </div>
-                <div style="max-width: 1000px; margin: 0 auto; width: 100%; height: 100%; display: flex; flex-direction: column;">
-                    <iframe v-if="previewArticleData.html_content" :srcdoc="previewArticleData.html_content" class="preview-iframe" style="flex:1; min-height:500px; border:1px solid #ebeef5; border-radius:8px; background:#fff; overflow:auto; padding:0; width:100%;" sandbox></iframe>
+                <div style="max-width: 1000px; margin: 0 auto; width: 100%; flex: 1; min-height: 0; display: flex; flex-direction: column;">
+                    <iframe v-if="previewArticleData.html_content" :srcdoc="previewArticleData.html_content" class="preview-iframe" style="flex:1; border:1px solid #ebeef5; border-radius:8px; background:#fff; padding:0;" sandbox></iframe>
                     <div v-else style="padding:60px 20px; text-align:center; color:#909399; font-size:14px;">该文章暂无 HTML 内容</div>
                 </div>
             </div>

platform/frontend/theme-modern.css

@@ -363,13 +363,13 @@ body {
 .login-footer a:hover { color: var(--color-accent); }
 
 /* ========== Preview Dialog ========== */
-.preview-iframe { box-sizing: border-box; }
+.preview-iframe { box-sizing: border-box; height: 100%; width: 100%; }
 .preview-dialog-custom.el-dialog {
   max-height: calc(100vh - 90px); overflow: hidden; display: flex;
   flex-direction: column; margin-top: 0 !important;
 }
 .preview-dialog-custom.el-dialog .el-dialog__header { padding: var(--spacing-sm) var(--spacing-md); margin: 0; flex-shrink: 0; }
-.preview-dialog-custom.el-dialog .el-dialog__body { padding: var(--spacing-md); overflow: hidden; }
+.preview-dialog-custom.el-dialog .el-dialog__body { padding: var(--spacing-md); overflow: hidden; flex: 1; min-height: 0; }
 .preview-dialog-custom.el-dialog .el-dialog__footer { flex-shrink: 0; padding: var(--spacing-sm) var(--spacing-md); }
 .preview-dialog-custom.is-fullscreen { z-index: 100001 !important; }
 body:has(.preview-dialog-custom.is-fullscreen) > [class*="el-overlay"] { z-index: 100000 !important; }
@@ -400,11 +400,11 @@ body:has(.preview-dialog-custom.is-fullscreen) > [class*="el-overlay"] { z-index
   .el-button--default { padding: 10px 16px !important; }
   .el-input__inner { min-height: 38px; }
 
-  .preview-iframe { max-height: calc(100vh - 250px) !important; }
+  .preview-iframe { min-height: 300px; }
   .preview-dialog-custom { position: relative; }
 }
 @media (min-width: 769px) {
-  .preview-iframe { max-height: calc(100vh - 100px) !important; }
+  .preview-iframe { min-height: 400px; }
   .preview-dialog-custom { position: relative; left: 90px; }
 }
 

platform/frontend/topics.html

@@ -8,8 +8,8 @@
     <link rel="stylesheet" href="theme-modern.css">
     <style>
         .selected-count { color: var(--color-text-secondary); font-size: var(--font-size-body); margin-left: auto; }
-        .preview-dialog-custom .el-dialog__body { overflow-y: auto; max-height: calc(90vh - 120px); min-height: 400px; padding: 16px 20px; }
-        .preview-dialog-custom .preview-body { max-height: calc(90vh - 180px); min-height: 300px; overflow: auto; }
+        .preview-dialog-custom.el-dialog .el-dialog__body { overflow-y: auto; min-height: 400px; padding: 16px 20px; }
+        .preview-dialog-custom .preview-body { min-height: 300px; overflow: auto; }
         .preview-dialog-custom .preview-body img { max-width: 100%; }
         .topic-card-list { display: none; }
         @media (max-width: 768px) {
@@ -41,10 +41,11 @@
                     <div class="page-header">
                         <h2 class="page-title"><el-icon style="vertical-align:-2px;"><IconTopic /></el-icon> 选题管理</h2>
                         <div class="toolbar">
-                            <el-button type="primary" size="small" @click="refreshAll"><el-icon style="vertical-align:-2px;"><IconRefresh /></el-icon> 批量刷新</el-button>
+                            <el-button type="primary" size="small" @click="openCreateDialog"><el-icon style="vertical-align:-2px;"><IconPlus /></el-icon> 新增选题</el-button>
+                            <el-button size="small" @click="refreshAll"><el-icon style="vertical-align:-2px;"><IconRefresh /></el-icon> 批量刷新</el-button>
                             <el-button size="small" @click="toggleSelectAll">{{ selectAllLabel }}</el-button>
-                            <el-button type="success" size="small" @click="triggerGenerateSelected" :disabled="selectedTopicIds.length === 0"><el-icon style="vertical-align:-2px;"><IconPlus /></el-icon> 批量创作</el-button>
-                            <el-button type="warning" size="small" @click="triggerReviewSelected" :disabled="selectedTopicIds.length === 0"><el-icon style="vertical-align:-2px;"><IconSearch /></el-icon> 批量审查</el-button>
+                            <el-button type="success" size="small" @click="triggerGenerateSelected" :disabled="selectedTopicIds.length === 0"> 批量创作</el-button>
+                            <el-button type="warning" size="small" @click="triggerReviewSelected" :disabled="selectedTopicIds.length === 0"> 批量审查</el-button>
                             <span v-if="selectedTopicIds.length > 0" class="selected-count">已选 {{ selectedTopicIds.length }} 项</span>
                         </div>
                     </div>
@@ -162,6 +163,82 @@
                 </div>
             </main>
         </div>
+        <el-dialog v-model="createDialogVisible" :title="createStep === 1 ? '新增选题' : 'AI 分析结果'" width="680px" :close-on-click-modal="false" @close="resetCreateDialog">
+            <template v-if="createStep === 1">
+                <el-form label-position="top">
+                    <el-form-item label="选题思路 / 内容描述">
+                        <el-input type="textarea" :rows="5" v-model="createForm.raw_input" placeholder="描述你想写的选题方向，可以是大致想法、关键词、或者一句话需求&#10;例如：想写一篇关于旧物换补贴的实操指南，结合最近的碳普惠政策" />
+                    </el-form-item>
+                    <el-form-item label="参考链接（可选，每行一个）">
+                        <el-input type="textarea" :rows="3" v-model="createForm.reference_links" placeholder="https://...&#10;https://..." />
+                    </el-form-item>
+                    <el-form-item label="所属领域（可选）">
+                        <el-select v-model="createForm.field_id" placeholder="选择领域" clearable style="width:100%;">
+                            <el-option v-for="f in fieldOptions" :key="f.id" :label="f.name" :value="f.id" />
+                        </el-select>
+                    </el-form-item>
+                </el-form>
+            </template>
+            <template v-else>
+                <el-form label-position="top">
+                    <el-form-item label="选题标题">
+                        <el-input v-model="createResult.title" />
+                    </el-form-item>
+                    <el-row :gutter="16">
+                        <el-col :span="12">
+                            <el-form-item label="内容形式">
+                                <el-select v-model="createResult.format" style="width:100%;">
+                                    <el-option label="趋势洞察" value="趋势洞察" />
+                                    <el-option label="实操指南" value="实操指南" />
+                                    <el-option label="对比分析" value="对比分析" />
+                                    <el-option label="案例解读" value="案例解读" />
+                                    <el-option label="观点讨论" value="观点讨论" />
+                                </el-select>
+                            </el-form-item>
+                        </el-col>
+                        <el-col :span="12">
+                            <el-form-item label="优先级">
+                                <el-select v-model="createResult.priority" style="width:100%;">
+                                    <el-option label="高" value="高" />
+                                    <el-option label="中" value="中" />
+                                    <el-option label="低" value="低" />
+                                </el-select>
+                            </el-form-item>
+                        </el-col>
+                    </el-row>
+                    <el-form-item label="核心概念">
+                        <el-input v-model="createResult.core_concept" />
+                    </el-form-item>
+                    <el-form-item label="受众痛点">
+                        <el-input v-model="createResult.audience_pain" />
+                    </el-form-item>
+                    <el-form-item label="独特角度">
+                        <el-input v-model="createResult.unique_angle" />
+                    </el-form-item>
+                    <el-form-item label="标签（回车添加）">
+                        <el-select v-model="createResult.tags" multiple filterable allow-create default-first-option style="width:100%;" placeholder="输入标签后回车添加">
+                            <el-option v-for="t in createResult.tags" :key="t" :label="t" :value="t" />
+                        </el-select>
+                    </el-form-item>
+                </el-form>
+            </template>
+            <template #footer>
+                <div style="display:flex; justify-content:space-between; width:100%;">
+                    <div>
+                        <el-button v-if="createStep === 2" size="small" @click="createStep = 1">← 返回编辑输入</el-button>
+                        <el-button v-else @click="createDialogVisible = false">取消</el-button>
+                    </div>
+                    <div v-if="createStep === 1">
+                        <el-button type="primary" @click="runAiAnalysis" :loading="analyzing">AI 智能分析</el-button>
+                    </div>
+                    <div v-else>
+                        <el-button @click="saveCreatedTopic('list')">仅保存到选题列表</el-button>
+                        <el-button type="success" @click="saveCreatedTopic('create')" :loading="saving">保存并创作</el-button>
+                        <el-button type="warning" @click="saveCreatedTopic('review')" :loading="saving">保存并审查</el-button>
+                    </div>
+                </div>
+            </template>
+        </el-dialog>
         <el-dialog v-model="publishDialogVisible" title="发布确认" width="420px" :close-on-click-modal="false">
             <div v-if="publishTopic">
                 <div style="margin-bottom:16px;">
@@ -256,7 +333,11 @@ const TopicsApp = {
             currentPage: 1, pageSize: 10,
             sortField: 'created_at', sortOrder: 'ascending',
             showSearch: false,
-                    searchForm: { id: '', title: '', field: '', createdStart: null, createdEnd: null, generatedStart: null, generatedEnd: null, reviewedStart: null, reviewedEnd: null, publishedStart: null, publishedEnd: null }
+            searchForm: { id: '', title: '', field: '', createdStart: null, createdEnd: null, generatedStart: null, generatedEnd: null, reviewedStart: null, reviewedEnd: null, publishedStart: null, publishedEnd: null },
+            createDialogVisible: false, createStep: 1, analyzing: false, saving: false,
+            fieldOptions: [],
+            createForm: { raw_input: '', reference_links: '', field_id: null },
+            createResult: { title: '', format: '趋势洞察', core_concept: '', audience_pain: '', unique_angle: '', tags: [], priority: '中' }
         }
     },
     computed: {
@@ -558,6 +639,76 @@ const TopicsApp = {
                 this.$message.error('删除失败: ' + msg);
             }
         },
+        async openCreateDialog() {
+            this.createDialogVisible = true;
+            this.createStep = 1;
+            this.createForm = { raw_input: '', reference_links: '', field_id: null };
+            this.createResult = { title: '', format: '趋势洞察', core_concept: '', audience_pain: '', unique_angle: '', tags: [], priority: '中' };
+            try {
+                this.fieldOptions = await this.api('/api/topic-config/fields') || [];
+            } catch (e) { this.fieldOptions = []; }
+        },
+        resetCreateDialog() {
+            this.createStep = 1; this.analyzing = false; this.saving = false;
+        },
+        async runAiAnalysis() {
+            if (!this.createForm.raw_input.trim()) { this.$message.warning('请输入选题思路'); return; }
+            this.analyzing = true;
+            try {
+                const refs = this.createForm.reference_links.split('\n').map(s => s.trim()).filter(Boolean);
+                const data = await this.api('/api/topics/analyze', {
+                    method: 'POST',
+                    body: JSON.stringify({
+                        raw_input: this.createForm.raw_input,
+                        reference_links: refs,
+                        field_id: this.createForm.field_id || null
+                    })
+                });
+                this.createResult.title = data.title || '';
+                this.createResult.format = data.format || '趋势洞察';
+                this.createResult.core_concept = data.core_concept || '';
+                this.createResult.audience_pain = data.audience_pain || '';
+                this.createResult.unique_angle = data.unique_angle || '';
+                this.createResult.tags = data.tags || [];
+                this.createResult.priority = data.priority || '中';
+                this.createStep = 2;
+                this.$message.success('AI 分析完成，请确认选题信息');
+            } catch (e) { this.$message.error('AI 分析失败: ' + (e.message || '未知错误')); }
+            finally { this.analyzing = false; }
+        },
+        async saveCreatedTopic(action) {
+            this.saving = true;
+            try {
+                const body = {
+                    title: this.createResult.title,
+                    field_id: this.createForm.field_id || null,
+                    format: this.createResult.format,
+                    core_concept: this.createResult.core_concept,
+                    audience_pain: this.createResult.audience_pain,
+                    unique_angle: this.createResult.unique_angle,
+                    tags: this.createResult.tags,
+                    priority: this.createResult.priority,
+                };
+                const topic = await this.api('/api/topics', { method: 'POST', body: JSON.stringify(body) });
+                const topicId = topic.id;
+                this.createDialogVisible = false;
+                this.$message.success(`选题 ${topicId} 创建成功`);
+                await this.fetchTopics();
+                if (action === 'create') {
+                    try {
+                        await this.api('/api/tasks/run-creator?topic_id=' + topicId, { method: 'POST' });
+                        this.$message.success(`创作任务已启动: ${topic.title}`);
+                    } catch (e) { this.$message.error(`创作启动失败: ${e.message}`); }
+                } else if (action === 'review') {
+                    try {
+                        await this.api('/api/system/review/run', { method: 'POST', body: JSON.stringify({ topic_ids: [topicId] }) });
+                        this.$message.success(`审查已启动: ${topic.title}`);
+                    } catch (e) { this.$message.error(`审查启动失败: ${e.message}`); }
+                }
+                await this.fetchTodayCount();
+            } catch (e) { this.$message.error('保存选题失败: ' + (e.message || '未知错误')); }
+            finally { this.saving = false; }
+        },
         switchPlatform(platform) {
             if (this.editing) this.cancelEdit();
             this.previewPlatform = platform;

scripts/compliance_optimizer.py

@@ -169,25 +169,28 @@ def polish_with_llm(html: str, platform: str, remaining_issues: Optional[List[Di
     """
     if not HAVE_LLM:
         return html, None
+    prompt_key = "compliance_fix" if remaining_issues else "compliance_polish"
     for attempt in range(2):
         try:
             temperature = 0.5
-            max_tokens = 4000
+            params = get_prompt_params(prompt_key)
+            max_tokens = params.get("max_tokens", 8000)
             system_prompt = "你是一个专业的内容合规与优化助手，擅长在保持文章质量和可读性的前提下修复合规问题。"
             if remaining_issues:
                 issues_desc = "\n".join(
                     f"- [{i['type']}] {i.get('category','')}: {i.get('detail','')}"
                     for i in remaining_issues
                 )
-                prompt = get_prompt("compliance_fix", issues_desc=issues_desc, html=html)
+                prompt = get_prompt(prompt_key, issues_desc=issues_desc, html=html)
             else:
-                prompt = get_prompt("compliance_polish", html=html)
+                prompt = get_prompt(prompt_key, html=html)
             polished = call_llm(prompt, temperature=temperature, max_tokens=max_tokens, system_prompt=system_prompt)
             polished = clean_html_content(polished)
             polished = strip_ai_preface(polished)
             polished = strip_thinking_html(polished)
             if '<h2' in polished or '<p>' in polished:
-                if len(polished) > len(html) * 0.3 and len(polished) > 100:
+                min_acceptable = min(len(html) * 0.3, 12000)
+                if len(polished) > min_acceptable and len(polished) > 100:
                     tag = "针对性修复" if remaining_issues else "常规润色"
                     return polished, f"LLM {tag}"
                 logger.warning(f"LLM 优化输出过短，保留原文 (len={len(polished)})")

scripts/db_helper.py

@@ -236,7 +236,7 @@ def save_topics_to_db(topics_data: List[Dict]):
     finally:
         db.close()
 
-def save_article(topic_id: str, platform: str, html_content: str, db: Optional[Session] = None) -> Dict:
+def save_article(topic_id: str, platform: str, html_content: str, *, title: str = "", content: str = "", db: Optional[Session] = None) -> Dict:
     """保存/更新文章到 articles 表"""
     close_db = False
     if db is None:
@@ -249,12 +249,18 @@ def save_article(topic_id: str, platform: str, html_content: str, db: Optional[S
         now = datetime.now()
         if existing:
             existing.html_content = html_content
+            if title:
+                existing.title = title
+            if content:
+                existing.content = content
         else:
             article = Article(
                 id=article_id,
                 topic_id=topic_id,
                 platform=platform,
                 file_path=f"db:{article_id}",
+                title=title,
+                content=content,
                 html_content=html_content,
                 status="draft",
                 compliance_score=None

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")

scripts/prompt_loader.py

@@ -80,9 +80,9 @@ _PROMPT_DEFAULTS = {
         "variables": ["now", "year", "title", "field", "core", "pain", "angle", "search_section", "n", "cases_text"],
     },
     "outline_generation": {
-        "content": "你是一个资深内容编辑，擅长设计读者爱看+搜索引擎友好+平台愿意推荐的推文结构。\n\n今天是{date}。当前年份：{year}年。\n\n选题信息：\n标题：{title}\n领域：{field}\n核心观点：{core}\n受众痛点：{pain}\n独特视角：{angle}\n\n研究笔记：\n{cases_summary}\n\n大纲要求：\n- 5-8章，每章有完整段落要点（非单句）\n- 结构递进：认知升级型或问题解决型\n- 每章标题自带信息量+好奇心，不要「引言」「总结」这类通用标题\n- 每章的要点必须是2-4句有内容的段落，不是一行关键词\n- 开头从具体场景切入，不要空洞的开场白\n- 把「独特视角」融入各章，而不是单独列\n\n输出格式：每章以「## 标题」开头，下面跟2-4段要点文字。\n不要输出其他说明。",
+        "content": "你是一个资深内容编辑，擅长设计读者爱看+搜索引擎友好+平台愿意推荐的推文结构。\n\n今天是{date}。当前年份：{year}年。\n\n选题信息：\n标题：{title}\n领域：{field}\n核心观点：{core}\n受众痛点：{pain}\n独特视角：{angle}\n\n研究笔记：\n{cases_summary}\n\n重点布局的SEO关键词（在章节中自然融入）：\n{seo_keywords}\n\n大纲要求：\n- 5-8章，每章有完整段落要点（非单句）\n- 结构递进：认知升级型或问题解决型\n- 每章标题自带信息量+好奇心，不要「引言」「总结」这类通用标题\n- 每章至少自然融入1个上述SEO关键词，涉及相关搜索意图\n- 每章的要点必须是2-4句有内容的段落，不是一行关键词\n- 开头从具体场景切入，不要空洞的开场白\n- 把「独特视角」融入各章，而不是单独列\n- GEO（生成式搜索优化）：每章包含一个可引用的数据点或来源，增加被AI搜索引用的概率\n\n输出格式：每章以「## 标题」开头，下面跟2-4段要点文字。\n不要输出其他说明。",
         "temperature": 0.7, "max_tokens": 4000,
-        "variables": ["date", "year", "title", "field", "core", "pain", "angle", "cases_summary"],
+        "variables": ["date", "year", "title", "field", "core", "pain", "angle", "cases_summary", "seo_keywords"],
     },
     "compliance_fix": {
         "content": "你是一个专业的内容合规与质量优化助手。以下文章存在需要修复的问题，请逐一修复并输出完整HTML。\n\n需修复的问题：\n{issues_desc}\n\n原文：\n{html}\n\n修复要求：\n- 只修复上述问题，不改变文章结构和核心内容\n- 保持<h2>, <h3>, <p>等标签结构不变\n- 替换敏感词时选择意思相近的替代词，不删节重要信息\n- AI套话：直接删除或改写「首先其次最后」「总的来说」「值得注意的是」「综上所述」等模式\n- 人称混用：统一为「你」\n- 缺少配图：在关键位置插入 <p></p> 空段落占位，配图由后续流程处理\n- 缺少互动/收藏引导：在文末自然加入（不要生硬）\n- 段落过长：将超过300字的段落拆分为2-3段\n\n输出完整的HTML，只输出HTML内容，不要其他文字说明。",
@@ -99,6 +99,11 @@ _PROMPT_DEFAULTS = {
         "temperature": 0.5, "max_tokens": 3000,
         "variables": ["n", "cat_names", "n2", "src_summary", "year"],
     },
+    "topic_manual_analyze": {
+        "content": "你是一个专业的内容策略师。用户提供了一个选题思路，请分析并提炼为结构化的选题信息。\n\n用户输入的原始内容：\n{raw_input}\n\n参考链接（如有）：\n{reference_links}\n\n请输出 JSON（只输出 JSON，不要其他文字）：\n{\n  \"title\": \"优化后的选题标题（20字内，含核心关键词，有吸引力）\",\n  \"format\": \"内容形式（趋势洞察/实操指南/对比分析/案例解读/观点讨论）\",\n  \"core_concept\": \"核心观点（一句话说清独特价值，20字内）\",\n  \"audience_pain\": \"受众痛点（目标读者的真实困惑或需求，20字内）\",\n  \"unique_angle\": \"差异化切入点（与常见文章不同的视角，20字内）\",\n  \"tags\": [\"标签1\", \"标签2\", \"标签3\", \"标签4\", \"标签5\"]\n}",
+        "temperature": 0.6, "max_tokens": 1500,
+        "variables": ["raw_input", "reference_links"],
+    },
     "tags_generation": {
         "content": "为以下文章生成{platform}标签（5-8个）。\n\n标题：{title}\n领域：{field}\n核心观点：{core}\n\n要求：\n- 每个标签2-5字\n- 包含1-2个搜索流量词（用户在{platform}会搜的词）\n- 包含1-2个热门话题词\n- 标签要有层次：大领域→小话题→具体场景\n- 不要重复意思相近的标签\n\n直接输出标签，空格分隔。不要输出思考过程和其他文字。",
         "temperature": 0.3, "max_tokens": 500,

scripts/rank_tracker.py

@@ -0,0 +1,216 @@
+#!/usr/bin/env python3
+"""
+搜索排名追踪模块
+
+功能：
+1. 对已发布的文章关键词，查搜索排名（Bing/Baidu）
+2. 检测文章是否被 AI 搜索引用（通过特定查询判断）
+3. 结果写入 SearchRanking 表
+4. 可作为定时任务每天运行
+"""
+import json, logging, sys, re, datetime
+from pathlib import Path
+from typing import List, Dict, Optional
+
+PROJECT_ROOT = Path(__file__).parent.parent
+sys.path.insert(0, str(PROJECT_ROOT))
+sys.path.insert(0, str(PROJECT_ROOT / 'platform' / 'backend'))
+
+from web_search import search_api
+
+TODAY = datetime.datetime.now().strftime("%Y-%m-%d")
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+DOMAIN = "yu-zhi-ran.com"
+
+
+def get_published_articles() -> List[Dict]:
+    """从 DB 获取所有已发布的文章"""
+    try:
+        from app.database import SessionLocal
+        from app.models import Article, Topic
+        db = SessionLocal()
+        try:
+            results = db.query(Article, Topic).join(Topic, Article.topic_id == Topic.id).all()
+            articles = []
+            for article, topic in results:
+                articles.append({
+                    "id": article.id,
+                    "topic_id": article.topic_id,
+                    "platform": article.platform,
+                    "title": article.title or topic.title,
+                    "status": article.status,
+                    "topic_title": topic.title,
+                    "field": topic.field or "",
+                })
+            return articles
+        finally:
+            db.close()
+    except Exception as e:
+        logger.warning(f"无法读取文章列表: {e}")
+        return []
+
+
+def _build_search_queries(article: Dict) -> List[str]:
+    """为文章生成需要追踪的关键词"""
+    queries = []
+    title = article.get("title", "") or article.get("topic_title", "")
+    field = article.get("field", "")
+
+    if title:
+        queries.append(title[:30])
+        # 核心关键词：标题短句
+        parts = re.split(r'[：:，,。.！!？?]', title)
+        for p in parts[:2]:
+            p = p.strip()
+            if 4 <= len(p) <= 25:
+                queries.append(p)
+
+    if field:
+        queries.append(field[:20])
+
+    return list(set(q for q in queries if len(q) >= 4))[:5]
+
+
+def _generate_keywords_for_article(article: Dict) -> List[str]:
+    """通过 LLM 生成更多 SEO 关键词（可选）"""
+    try:
+        from app.core.nvidia_client import call_llm
+        from prompt_loader import get_prompt
+    except ImportError:
+        return []
+
+    title = article.get("title") or article.get("topic_title", "")
+    field = article.get("field", "")
+    try:
+        prompt = get_prompt("tags_generation",
+            platform="搜索引擎",
+            title=title,
+            field=field,
+            core=article.get("topic_id", ""),
+        )
+        resp = call_llm(prompt, temperature=0.3, max_tokens=500)
+        if resp:
+            from content_cleaner import strip_thinking
+            resp = strip_thinking(resp)
+            keywords = [t.strip("# ") for t in resp.split() if len(t.strip("# ")) >= 3]
+            return keywords[:5]
+    except Exception as e:
+        logger.warning(f"关键词生成失败: {e}")
+    return []
+
+
+def check_rankings(article: Dict, keywords: List[str], engine: str = "bing") -> List[Dict]:
+    """检查文章关键词在搜索引擎的排名"""
+    title = article.get("title") or article.get("topic_title", "")
+    article_id = article.get("id", "")
+    topic_id = article.get("topic_id", "")
+    platform = article.get("platform", "")
+    results = []
+
+    for keyword in keywords:
+        try:
+            search_results = search_api(keyword, max_results=10)
+            position = None
+            url_found = None
+
+            for i, sr in enumerate(search_results):
+                url = sr.get("url", "")
+                if DOMAIN in url or any(part in url for part in title.split() if len(part) >= 4):
+                    position = i + 1
+                    url_found = url[:200]
+                    break
+
+            results.append({
+                "article_id": article_id,
+                "topic_id": topic_id,
+                "keyword": keyword,
+                "platform": platform,
+                "search_engine": engine,
+                "position": position,
+                "url_found": url_found,
+                "ai_cited": False,
+                "ai_source": None,
+            })
+
+            logger.info(f"  [{engine}] '{keyword}' → {'#' + str(position) if position else '未上榜'}"
+                        f"{' ' + url_found[:60] if url_found else ''}")
+        except Exception as e:
+            logger.warning(f"检查关键词 '{keyword}' 失败: {e}")
+
+    return results
+
+
+def save_rankings(rankings: List[Dict]):
+    """将排名结果写入数据库"""
+    if not rankings:
+        return
+    try:
+        from app.database import SessionLocal
+        from app.models import SearchRanking
+        db = SessionLocal()
+        try:
+            for r in rankings:
+                record = SearchRanking(
+                    article_id=r.get("article_id"),
+                    topic_id=r.get("topic_id"),
+                    keyword=r.get("keyword"),
+                    platform=r.get("platform"),
+                    search_engine=r.get("search_engine", "bing"),
+                    position=r.get("position"),
+                    url_found=r.get("url_found"),
+                    ai_cited=r.get("ai_cited", False),
+                    ai_source=r.get("ai_source"),
+                )
+                db.add(record)
+            db.commit()
+            logger.info(f"已保存 {len(rankings)} 条排名记录")
+        finally:
+            db.close()
+    except Exception as e:
+        logger.warning(f"保存排名记录失败: {e}")
+
+
+def run_all(engine: str = "bing") -> Dict:
+    """对所有已发布文章执行排名追踪"""
+    articles = get_published_articles()
+    if not articles:
+        logger.warning("没有已发布的文章可追踪")
+        return {"ok": True, "tracked": 0, "articles": 0}
+
+    all_rankings = []
+    for article in articles:
+        keywords = _build_search_queries(article)
+        if not keywords:
+            continue
+        logger.info(f"追踪 [{article['id']}] {article.get('title','')[:30]} keywords: {keywords}")
+        rankings = check_rankings(article, keywords, engine)
+        all_rankings.extend(rankings)
+
+    save_rankings(all_rankings)
+    on_page = sum(1 for r in all_rankings if r.get("position") is not None)
+
+    logger.info(f"排名追踪完成: {len(articles)} 篇文章, "
+                f"{len(all_rankings)} 条关键词检查, "
+                f"{on_page} 条有排名")
+    return {
+        "ok": True,
+        "articles_checked": len(articles),
+        "keywords_checked": len(all_rankings),
+        "on_page": on_page,
+    }
+
+
+def main():
+    import argparse
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--engine', default='bing', help='搜索引擎 (bing/baidu/google)')
+    args = parser.parse_args()
+    result = run_all(args.engine)
+    print(json.dumps(result, ensure_ascii=False))
+    sys.exit(0 if result['ok'] else 1)
+
+
+if __name__ == "__main__":
+    main()

scripts/writer.py

@@ -5,7 +5,7 @@
 """
 import json, datetime, logging, sys, re
 from pathlib import Path
-from typing import Dict, List
+from typing import Dict, List, Optional
 
 PROJECT_ROOT = Path(__file__).parent.parent
 sys.path.insert(0, str(PROJECT_ROOT))
@@ -69,6 +69,90 @@ def _load_platform_config() -> dict:
 
 PLATFORM_CONFIG = _load_platform_config()
 
+PLATFORM_NAMES = {
+    "zhihu": "知乎专栏",
+    "wechat": "微信公众号",
+    "xiaohongshu": "小红书",
+}
+
+def _extract_description(content: str, max_len: int = 200) -> str:
+    """从 markdown 正文提取第一段有意义的文字作为 description"""
+    text = re.sub(r'^#\s+.*$', '', content, flags=re.MULTILINE)
+    text = re.sub(r'[#*>`~\[\]()\n]', ' ', text)
+    paragraphs = [p.strip() for p in text.split('\n\n') if p.strip()]
+    for p in paragraphs:
+        p = re.sub(r'\s+', ' ', p).strip()
+        if len(p) >= 15 and not p.startswith('http'):
+            return p[:max_len]
+    return content.replace('\n', ' ')[:max_len]
+
+
+def _extract_tags_list(tags_html: str) -> list:
+    """从 HTML tags 块提取纯标签列表"""
+    return re.findall(r'<span class="tag">([^<]+)</span>', tags_html)
+
+
+def inject_geo_metadata(html: str, title: str, content: str, platform: str, tags_html: str = "") -> str:
+    """向 HTML <head> 注入 SEO/GEO 结构化元数据"""
+    description = _extract_description(content)
+    tags_list = _extract_tags_list(tags_html)
+    platform_name = PLATFORM_NAMES.get(platform, platform)
+    today = datetime.datetime.now().strftime("%Y-%m-%d")
+
+    # JSON-LD Article schema
+    json_ld = {
+        "@context": "https://schema.org",
+        "@type": "Article",
+        "headline": title,
+        "description": description,
+        "datePublished": today,
+        "dateModified": today,
+        "author": {
+            "@type": "Organization",
+            "name": "宇之然",
+            "url": "https://yu-zhi-ran.com"
+        },
+        "publisher": {
+            "@type": "Organization",
+            "name": "宇之然",
+            "url": "https://yu-zhi-ran.com"
+        },
+        "mainEntityOfPage": {
+            "@type": "WebPage",
+            "@id": f"https://yu-zhi-ran.com/article/{platform}"
+        },
+    }
+    if tags_list:
+        json_ld["keywords"] = ", ".join(tags_list[:8])
+
+    json_ld_str = json.dumps(json_ld, ensure_ascii=False)
+
+    meta_tags = f"""
+  <meta name="description" content="{description}">
+  <meta name="keywords" content="{', '.join(tags_list[:8]) if tags_list else ''}">
+  <meta property="og:type" content="article">
+  <meta property="og:title" content="{title}">
+  <meta property="og:description" content="{description[:150]}">
+  <meta property="og:site_name" content="宇之然 | {platform_name}">
+  <meta property="article:published_time" content="{today}">
+  <meta property="article:author" content="宇之然">
+  <script type="application/ld+json">
+{json_ld_str}
+  </script>"""
+
+    # 注入到 </head> 之前
+    html = html.replace("</head>", meta_tags + "\n</head>")
+
+    # 为 wechat + xiaohongshu 追加 Weibo/Wechat 兼容 meta
+    if platform in ("wechat", "xiaohongshu"):
+        html = html.replace("</head>", """
+  <meta property="og:image" content="https://yu-zhi-ran.com/og-image.png">
+  <meta name="weibo:webpage:source" content="宇之然">
+</head>""")
+
+    return html
+
+
 class Writer:
     def __init__(self, topic_id: str):
         self.topic_id = topic_id
@@ -443,11 +527,12 @@ class Writer:
         else:
             html = html.replace("<!-- TAGS -->", "")
 
+        html = inject_geo_metadata(html, title, adapted, platform, tags_html)
         return html
 
-    def save_html(self, html: str, platform: str) -> str:
+    def save_html(self, html: str, platform: str, *, title: str = "", content: str = "") -> str:
         try:
-            save_article(self.topic_id, platform, html)
+            save_article(self.topic_id, platform, html, title=title, content=content)
             logger.info(f"文章写入数据库: {platform}_{self.topic_id}")
             return f"db:{platform}_{self.topic_id}"
         except Exception as e:
@@ -463,8 +548,9 @@ class Writer:
         results = {}
         for platform in ["zhihu", "wechat", "xiaohongshu"]:
             markdown = self.generate_platform_markdown(platform)
+            title = self._optimize_title(platform)
             html = self.generate_platform_html(markdown, platform)
-            results[platform] = str(self.save_html(html, platform))
+            results[platform] = str(self.save_html(html, platform, title=title, content=markdown))
         self.mark_draft()
         logger.info(f"撰写完成，状态已更新为待审查")
         return {"ok": True, "files": results}