刘国栋
309 lines
13 KiB
Python
309 lines
13 KiB
Python
"""
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GEO 资源推荐模块
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提供 GEO 代理、工具、论文等资源推荐，增强工具生态
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"""
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from typing import List, Dict, Optional
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from datetime import datetime
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class ResourceRecommender:
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"""GEO 资源推荐器"""
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def __init__(self):
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# GEO 代理/服务列表
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self.agents = [
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{
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"name": "Perplexity AI",
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"description": "AI 搜索引擎，可用于验证 GEO 效果",
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"url": "https://www.perplexity.ai",
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"category": "AI 搜索",
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"rating": "⭐⭐⭐⭐⭐",
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"features": ["实时搜索", "引用来源", "多模型支持"]
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},
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{
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"name": "ChatGPT Search",
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"description": "OpenAI 的搜索功能，验证品牌在 AI 搜索中的表现",
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"url": "https://chat.openai.com",
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"category": "AI 搜索",
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"rating": "⭐⭐⭐⭐⭐",
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"features": ["GPT-4", "实时联网", "引用分析"]
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},
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{
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"name": "Google SGE",
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"description": "Google 搜索生成体验，了解 AI 搜索趋势",
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"url": "https://search.google",
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"category": "AI 搜索",
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"rating": "⭐⭐⭐⭐",
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"features": ["AI 摘要", "来源引用", "搜索结果"]
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},
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{
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"name": "Jasper AI",
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"description": "AI 内容创作平台，支持 SEO 优化内容生成",
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"url": "https://www.jasper.ai",
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"category": "内容生成",
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"rating": "⭐⭐⭐⭐",
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"features": ["模板丰富", "品牌声音", "SEO 优化"]
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},
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{
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"name": "Surfer SEO",
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"description": "SEO 内容优化工具，支持 SERP 分析",
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"url": "https://surferseo.com",
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"category": "SEO 工具",
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"rating": "⭐⭐⭐⭐",
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"features": ["内容评分", "关键词分析", "SERP 分析"]
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}
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]
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# 工具推荐
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self.tools = [
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{
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"name": "Google Search Console",
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"description": "监控网站在 Google 搜索中的表现",
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"url": "https://search.google.com/search-console",
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"category": "搜索引擎工具",
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"rating": "⭐⭐⭐⭐⭐",
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"features": ["搜索分析", "索引监控", "性能报告"]
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},
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{
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"name": "Bing Webmaster Tools",
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"description": "Bing 搜索引擎的网站管理工具",
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"url": "https://www.bing.com/webmasters",
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"category": "搜索引擎工具",
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"rating": "⭐⭐⭐⭐",
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"features": ["索引提交", "搜索分析", "URL 检查"]
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},
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{
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"name": "Schema.org Validator",
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"description": "验证 JSON-LD Schema 标记是否正确",
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"url": "https://validator.schema.org",
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"category": "结构化数据",
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"rating": "⭐⭐⭐⭐⭐",
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"features": ["Schema 验证", "结构化数据测试", "错误检测"]
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},
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{
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"name": "Google Rich Results Test",
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"description": "测试网页是否支持 Google 富媒体搜索结果",
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"url": "https://search.google.com/test/rich-results",
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"category": "结构化数据",
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"rating": "⭐⭐⭐⭐⭐",
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"features": ["富媒体测试", "预览效果", "错误诊断"]
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},
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{
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"name": "PageSpeed Insights",
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"description": "分析网页性能，Core Web Vitals 指标",
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"url": "https://pagespeed.web.dev",
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"category": "性能工具",
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"rating": "⭐⭐⭐⭐⭐",
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"features": ["性能分析", "优化建议", "移动端测试"]
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},
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{
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"name": "Ahrefs",
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"description": "SEO 工具套件，关键词研究和竞品分析",
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"url": "https://ahrefs.com",
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"category": "SEO 工具",
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"rating": "⭐⭐⭐⭐⭐",
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"features": ["关键词研究", "反向链接分析", "竞品分析"]
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},
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{
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"name": "SEMrush",
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"description": "数字营销工具，SEO 和内容营销分析",
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"url": "https://www.semrush.com",
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"category": "SEO 工具",
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"rating": "⭐⭐⭐⭐⭐",
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"features": ["关键词研究", "站点审计", "内容优化"]
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},
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{
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"name": "Clearscope",
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"description": "AI 内容优化工具，提升内容相关性",
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"url": "https://www.clearscope.io",
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"category": "内容优化",
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"rating": "⭐⭐⭐⭐",
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"features": ["内容评分", "关键词建议", "竞品分析"]
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}
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]
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# 论文/指南链接
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self.papers = [
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{
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"title": "GEO: Generative Engine Optimization (arXiv)",
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"description": "GEO 原始研究论文，定义了生成式引擎优化的概念和方法",
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"url": "https://arxiv.org/abs/2311.09735",
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"category": "学术论文",
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"date": "2023",
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"importance": "高"
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},
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{
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"title": "Google E-E-A-T Guidelines",
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"description": "Google 官方 E-E-A-T 指南，GEO 核心原则",
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"url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content",
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"category": "官方指南",
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"date": "2024",
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"importance": "高"
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},
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{
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"title": "Google Search Quality Rater Guidelines",
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"description": "Google 搜索质量评估指南，详细的 E-E-A-T 标准",
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"url": "static.googleusercontent.com/media/guidelines.raterhub.com/en//searchqualityevaluatorguidelines.pdf",
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"category": "官方指南",
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"date": "2024",
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"importance": "高"
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},
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{
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"title": "Schema.org Documentation",
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"description": "Schema.org 结构化数据完整文档",
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"url": "https://schema.org",
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"category": "技术文档",
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"date": "持续更新",
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"importance": "高"
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},
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{
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"title": "Google Structured Data Guidelines",
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"description": "Google 结构化数据指南和最佳实践",
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"url": "https://developers.google.com/search/docs/appearance/structured-data",
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"category": "技术文档",
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"date": "2024",
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"importance": "高"
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},
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{
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"title": "AI Search Optimization Guide",
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"description": "AI 搜索引擎优化最佳实践指南",
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"url": "https://www.searchenginejournal.com/ai-search-optimization",
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"category": "最佳实践",
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"date": "2024",
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"importance": "中"
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},
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{
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"title": "LLM Prompt Engineering Guide",
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"description": "大语言模型提示工程完整指南",
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"url": "https://www.promptingguide.ai",
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"category": "技术指南",
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"date": "持续更新",
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"importance": "中"
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},
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{
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"title": "Content Quality Guidelines",
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"description": "高质量内容创作指南",
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"url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content",
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"category": "内容指南",
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"date": "2024",
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"importance": "中"
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}
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]
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# 社区资源
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self.communities = [
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{
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"name": "r/SEO (Reddit)",
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"description": "Reddit SEO 社区，讨论 SEO 和 GEO 策略",
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"url": "https://www.reddit.com/r/SEO",
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"category": "论坛社区",
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"rating": "⭐⭐⭐⭐⭐"
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},
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{
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"name": "r/ChatGPT (Reddit)",
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"description": "ChatGPT 社区，讨论 AI 搜索和 GEO 应用",
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"url": "https://www.reddit.com/r/ChatGPT",
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"category": "论坛社区",
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"rating": "⭐⭐⭐⭐"
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},
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{
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"name": "SEO Twitter/X Community",
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"description": "SEO 和 GEO 从业者 Twitter 社区",
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"url": "https://twitter.com/search?q=SEO%20GEO",
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"category": "社交媒体",
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"rating": "⭐⭐⭐⭐"
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},
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{
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"name": "Google Search Central Community",
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"description": "Google 官方搜索社区",
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"url": "https://support.google.com/webmasters/community",
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"category": "官方社区",
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"rating": "⭐⭐⭐⭐⭐"
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},
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{
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"name": "Moz Community",
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"description": "Moz SEO 社区，丰富的 SEO 资源",
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"url": "https://moz.com/community",
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"category": "论坛社区",
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"rating": "⭐⭐⭐⭐"
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}
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]
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def get_agents(self, category: Optional[str] = None) -> List[Dict]:
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"""获取 GEO 代理列表"""
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if category:
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return [agent for agent in self.agents if agent.get("category") == category]
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return self.agents
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def get_tools(self, category: Optional[str] = None) -> List[Dict]:
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"""获取工具推荐列表"""
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if category:
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return [tool for tool in self.tools if tool.get("category") == category]
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return self.tools
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def get_papers(self, category: Optional[str] = None, importance: Optional[str] = None) -> List[Dict]:
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"""获取论文/指南列表"""
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result = self.papers
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if category:
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result = [p for p in result if p.get("category") == category]
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if importance:
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result = [p for p in result if p.get("importance") == importance]
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return result
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def get_communities(self) -> List[Dict]:
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"""获取社区资源列表"""
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return self.communities
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def get_resource_summary(self) -> Dict:
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"""获取资源统计摘要"""
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return {
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"total": len(self.agents) + len(self.tools) + len(self.papers) + len(self.communities),
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"agents": len(self.agents),
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"tools": len(self.tools),
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"papers": len(self.papers),
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"communities": len(self.communities)
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}
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def search_resources(self, query: str, resource_type: Optional[str] = None) -> List[Dict]:
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"""搜索资源"""
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query_lower = query.lower()
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results = []
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# 搜索所有资源
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all_resources = []
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if resource_type is None or resource_type == "agents":
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for agent in self.agents:
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agent["type"] = "agent"
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all_resources.append(agent)
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if resource_type is None or resource_type == "tools":
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for tool in self.tools:
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tool["type"] = "tool"
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all_resources.append(tool)
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if resource_type is None or resource_type == "papers":
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for paper in self.papers:
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paper["type"] = "paper"
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all_resources.append(paper)
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if resource_type is None or resource_type == "communities":
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for community in self.communities:
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community["type"] = "community"
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all_resources.append(community)
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# 搜索匹配
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for resource in all_resources:
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name = resource.get("name", resource.get("title", "")).lower()
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description = resource.get("description", "").lower()
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category = resource.get("category", "").lower()
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features = " ".join(resource.get("features", [])).lower()
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if (query_lower in name or
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query_lower in description or
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query_lower in category or
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query_lower in features):
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results.append(resource)
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return results
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