自动化优化

// 要点先行：自动化数据收集脚本

import requests
from bs4 import BeautifulSoup
import pandas as pd
from datetime import datetime

class GEODataCollector:
    def __init__(self, config):
        self.config = config
        self.data = []
    
    def collect_page_data(self, url):
        """收集页面基础数据"""
        response = requests.get(url)
        soup = BeautifulSoup(response.content, 'html.parser')
        
        return {
            'url': url,
            'title': soup.find('title').text if soup.find('title') else '',
            'meta_description': self.get_meta_description(soup),
            'h1_count': len(soup.find_all('h1')),
            'word_count': len(soup.get_text().split()),
            'timestamp': datetime.now()
        }
    
    def get_meta_description(self, soup):
        meta = soup.find('meta', attrs={'name': 'description'})
        return meta.get('content') if meta else ''

// 要点先行：自动内容优化示例

class ContentOptimizer:
    def __init__(self, llm_client):
        self.llm = llm_client
    
    async def optimize_content(self, content, target_keywords):
        """自动优化内容"""
        prompt = f"""
        优化以下内容，使其更适合生成引擎：
        目标关键词：{target_keywords}
        原始内容：{content}
        
        要求：
        1. 提升语义相关性
        2. 改善内容结构
        3. 添加相关概念
        4. 保持自然流畅
        """
        
        optimized = await self.llm.generate(prompt)
        return self.add_structured_data(optimized)
    
    def add_structured_data(self, content):
        """自动添加结构化数据"""
        # 识别实体并添加schema标记
        entities = self.extract_entities(content)
        return self.inject_schema_markup(content, entities)