GEO BOOST — AI 品牌增长引擎 / AI Brand Growth Engine
GEO BOOST 是以 AI 技术为核心的 GEO(生成式引擎优化)SaaS 平台。输入任意网站地址,即可免费获得 0–100 分的 AI 搜索引擎可见性评分与 8 个维度的优化建议。平台提供 AI 能见度诊断、品牌 AI 认知监测、AI 信源分析、GEO 内容策略生成与全渠道分发,覆盖 4 大核心功能与 5 步服务流程,让品牌在 ChatGPT、Perplexity、Google AI、Claude、DeepSeek 等 15 个主流 AI 问答引擎中被优先看见与推荐。
GEO BOOST is an AI-powered GEO (Generative Engine Optimization) SaaS platform. Enter any website URL to receive a free 0–100 AI visibility score with an 8-dimension audit. It combines AI visibility monitoring, brand perception tracking, citation-source analysis, strategy-driven content generation, and omni-channel distribution across a 4-module toolkit and a 5-step service process — helping brands be cited and recommended by ChatGPT, Perplexity, Google AI Overviews, Claude, DeepSeek and other leading answer engines.
免费开启 GEO 之旅 / Start for free 了解服务流程 / How it works免费获取网站 GEO 报告 / Free Website GEO Report
输入您的网站地址,立即获取 AI 搜索引擎可见性评分与优化建议。Enter your website URL for an instant AI visibility score.
4 大核心功能 / Core Capabilities
AI 已成为新的搜索入口。用户的搜索习惯正在由传统搜索向 AI 问答搜索引擎转移,缺乏 GEO 策略的品牌可能在 AI 回答中“隐身”。
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1. AI 能见度监测 / AI Visibility Monitoring
洞察 AI 大模型对品牌的认知画像,掌握品牌在主流 AI 平台的收录与推荐情况;高级监控对同一问题固定执行 10 次采集,量化出现率与情感倾向。 -
2. AI 信源监测 / Citation Source Monitoring
全量追踪 AI 回答中的引用 URL 与域名,监测信源覆盖、发现信源缺口,并标记 AI 建议优化的高价值信源。 -
3. 基于 GEO 优化策略生成 / Strategy-driven Content
基于关键词研究、流量漏斗模型与品牌得分分析,生成符合 GEO 优化策略的图文内容,让 AI 主动推荐品牌。 -
4. 智能媒体匹配与发布 / Media Matching & Publishing
分析 AI 引用的底层需求与权威媒体价值,按话题词和内容类型精准匹配渠道并完成全渠道分发,记录发布日志。
5 步服务流程 / 5-Step Service Process
五步走,系统化提升品牌 AI 可见性。A systematic five-step process to improve brand visibility in AI answers.
- 诊断评估 / Diagnose:快速扫描品牌在主流 AI 平台的收录与推荐情况,识别 AI 可见度盲点。
- 优化策略定制 / Strategy:制定品牌话题词结构优化方案,构建品牌知识图谱与问答素材库。
- 执行上线 / Execute:实施优化方案,输出高质量内容,在权威平台进行分发。
- 效果监控 / Monitor:持续监控优化效果,定期提供效果报告并沟通优化建议。
- 持续优化 / Iterate:基于 AI 平台算法更新动态调整策略,保持长期领先。
适用行业 / Industries Served
- 国际货代 / 物流 / 海外仓 · 酒店与旅游 · 教育培训 · 数码家电
- 家居家装 · 生活服务 · 护肤彩妆 · 金融理财 · 医疗健康
- 餐饮美食 · 法律服务 · 体育健身 · 宠物服务 · 珠宝首饰等更多行业
无论身处哪个行业,我们都能提供定制化的 AI 搜索优化方案。
为什么 GEO 很重要 / Why GEO Matters Now
Answer engines do not rank ten web pages. They read a wide set of sources, resolve the asking intent, and write one synthesized answer with a short list of citations. When a model has no clean, structured, and trustworthy information about a brand, the brand simply never appears — there is no page two in a conversational answer. The shift changes the unit of optimization: instead of optimizing a landing page for a keyword, teams must manage a distributed evidence base that the model can read, trust, and quote.
The platform treats GEO as a measurable funnel rather than a writing exercise. A brand starts with a baseline audit: crawler access, machine-readable descriptors, structured entities, meta completeness, and content depth. It then runs repeated, identical questions across markets and models, records whether the brand is mentioned, how often its sources are cited, and what sentiment the answer carries. Repeated rounds are important because a single answer can be random, while ten collections reveal a stable pattern and make change over time comparable.
Every output is evidence-based. Citation data shows the exact domains and URLs that models rely on for a topic, so outreach and publishing focus on sources that already shape answers rather than guesswork. Q&A assets, definitions, comparisons, and statistics are written in clear sections with descriptive headings, because models extract and quote bounded passages more reliably. Distribution is matched to topic and format, logged, and then re-measured in later collection rounds. The cycle closes when the next audit shows higher mention frequency, broader source coverage, and more favorable answer positioning across the monitored models and regions.
常见问题 / FAQ
GEO 和 SEO 有什么区别?
SEO 面向传统搜索引擎的网页排名,GEO 面向生成式 AI 回答中的引用与推荐;两者技术基础共通,GEO 额外强调 AI 爬虫准入、llms.txt、问答式内容与权威信源覆盖。
免费报告需要注册吗?
不需要注册即可获得 0–100 分评分与部分结果;注册后可查看完整报告、全部优化建议并获赠体验版套餐。
平台支持哪些语言?
门户与报告支持简体中文、繁体中文与 English 三种语言。
监测哪些 AI 平台?
ChatGPT、Perplexity、Google AI Overviews、Gemini、Claude、Grok、Microsoft Copilot、DeepSeek、Kimi、豆包、通义千问、腾讯元宝、百度文心、You.com、DuckDuckGo DuckAssist 等,并持续扩展。
面向 AI 的标准与资源 / AI-ready Standards
- llms.txt 与 llms-full.txt:AI 导航文件
- /.well-known/ai.txt、summary.json、faq.json、service.json
- 标准参考:llmstxt.org · Schema.org