内容刷新审计
掌握系统化的内容刷新审计方法，精准识别需要刷新的页面和刷新优先级

# 内容刷新ROI预测模型
def calculate_refresh_roi(
    current_ai_citation_rate,  # 当前AI引用率 (%)
    expected_citation_lift,     # 预期提升 (百分比点)
    monthly_search_volume,      # 月搜索量
    citation_ctr,               # 引用点击率 (%)
    conversion_rate,            # 转化率 (%)
    avg_order_value,            # 客单价
    refresh_cost_hours,         # 刷新所需工时
    hourly_rate                 # 时薪
):
    """计算内容刷新ROI"""
    # 预期AI引用率
    expected_rate = current_ai_citation_rate + expected_citation_lift
    
    # 预期月流量
    expected_monthly_traffic = (
        monthly_search_volume * (expected_rate / 100) * (citation_ctr / 100)
    )
    
    # 预期月收益
    expected_monthly_revenue = (
        expected_monthly_traffic * (conversion_rate / 100) * avg_order_value
    )
    
    # 年化收益
    annual_revenue = expected_monthly_revenue * 12
    
    # 刷新成本
    refresh_cost = refresh_cost_hours * hourly_rate
    
    # ROI
    roi = ((annual_revenue - refresh_cost) / refresh_cost) * 100
    
    print(f"当前AI引用率: {current_ai_citation_rate}%")
    print(f"预期AI引用率: {expected_rate}%")
    print(f"预期月流量: {expected_monthly_traffic:.0f}")
    print(f"预期月收益: ¥{expected_monthly_revenue:,.0f}")
    print(f"刷新成本: ¥{refresh_cost:,.0f}")
    print(f"年化ROI: {roi:.0f}%")
    
    return roi

# 示例
# calculate_refresh_roi(15, 10, 5000, 5, 2, 299, 8, 200)