基於 Princeton GEO 研究模型

讓 AI 搜尋引擎
主動推薦你的品牌

SEO + AEO + GEO 三維分析,53 項專業檢查、3 大權威數據源。

輸入網址,例如 example.com
53 項專業檢查整合 3 大權威數據源支援繁中 / 英 / 日
早期使用者優先體驗

看 AEO Pro 如何在 90 秒內找出你網站被 AI 忽略的原因。

53 項專業檢查 · 3 大權威數據源 · 8 大 AI 引擎即時監控

"掃描完才知道 llms.txt 這麼重要,補上後 ChatGPT 開始引用我們的文章。"
— 早期測試品牌|電商 SaaS
"AEO 分數從 40 拉到 85,GEO 建議最實用。"
— 早期測試品牌|媒體平台
"第一次看到同時覆蓋 SEO + AEO + GEO 的工具。"
— 早期測試品牌|顧問業
53
項完整檢查
16
項 SEO 檢查
22
項 AEO 檢查
15
項 GEO 檢查
ChatGPT
Claude
Gemini
Perplexity
Llama 3.1
DeepSeek
Grok
Mistral Large

什麼是 SEO + AEO + GEO 三維度分析?

AEO Pro 的三維度分析是包含 SEO 搜尋排名、AEO 答案引擎引用就緒度與 GEO 生成式引擎可見度三個核心層面的整合方案,提供 53 項即時檢查並支援整合 Google PageSpeed Insights、SSL Labs、W3C Validator 三大權威數據源。平台能讓 ChatGPT、Claude、Gemini、Perplexity 等 8 大 AI 引擎準確理解、擷取、主動引用你的品牌內容。

SEO · 16 項檢查

什麼是 SEO 搜尋引擎基礎檢查?

SEO 維度是 AEO Pro 確保網站被 Google、Bing 傳統搜尋引擎正確索引的 16 項基礎檢查,涵蓋 Title Tag、Meta Description、PageSpeed、SSL、Schema、內部連結、圖片 alt、canonical URL 等關鍵訊號。系統整合 Google PageSpeed Insights、SSL Labs、W3C Validator 三大權威 API,為每一項檢查提供真實第三方驗證而非自行評估。

數據來源:Google PageSpeed Insights · SSL Labs · W3C Validator
AEO · 22 項檢查

什麼是 AI 引用就緒度(AEO)?

AEO 維度是 AEO Pro 針對 ChatGPT、Claude、Gemini、Perplexity 等 AI 答案引擎設計的 22 項就緒度檢查,涵蓋 FAQ Schema、llms.txt、BLUF 簡潔回答、實體標記、主題權威性、內容新鮮度、引用可讀性等關鍵結構。平台基於 Princeton KDD 2024 GEO 研究模型,能估算頁面被 AI 主動引用的真實機率。

GEO · 15 項檢查

什麼是生成式引擎優化(GEO)?

GEO 維度是 AEO Pro 優化生成式 AI 在地化回答的 15 項檢查,涵蓋引用就緒度、內容新鮮度、主題權威性、地區內容、LocalBusiness Schema、NAP 一致性、hreflang、地圖嵌入與多語言支援。此維度特別針對 APAC 市場強化繁體中文、簡體中文、日文與韓文的三語文化在地化訊號偵測。

外部權威數據
Google PageSpeed Insights SSL Labs W3C Validator

為什麼選 AEO Pro?

選 AEO Pro 是因為平台提供唯一同時覆蓋 SEO、AEO、GEO 三個維度並支援真實 AI 引用追蹤的能力,相較 Profound、AthenaHQ、Scrunch 等美國競品更具價格透明度($29-$199/月)、包含完整繁中日三語支援與 Wikidata 實體連結。53 項檢查是由 Princeton KDD 2024 GEO 研究模型校準,APAC 市場獨家優化。

功能AEO Pro一般 SEO 工具引用追蹤工具人工稽核
SEO 基礎檢查(Title、Meta、Schema)
AEO 檢查(llms.txt、FAQ Schema、AI 友善度)
GEO 檢查(Princeton 研究模型)
真實 AI 引用追蹤(ChatGPT、Claude、Gemini、Perplexity、Llama 3.1、DeepSeek、Grok、Mistral Large)
8 大引擎同時監控單一
外部權威數據(PageSpeed、SSL Labs、W3C)部分
繁中 / 英 / 日三語介面與報告
一鍵 llms.txt / Schema 生成
即時 AEO 基準數據(持續累積、每週更新)

比較基準:2026 年 4 月公開資料;各工具功能以官方文件為準。

如何在 30 天內將 AEO 分數從 50 提升到 85+?

優化實證是使用 AEO Pro 的品牌依優先級修復 FAQ Schema、llms.txt、實體標記與 BLUF 段落結構後,平均在 30 天內 AEO 分數從 50 分提升至 85+ 分的真實紀錄。掃描完成後系統能立刻提供可複製的修復程式碼與 JSON-LD 範本,支援工程師零上手成本即可部署到 Next.js、WordPress、Shopify 等主流平台。

1
掃描
53 項檢查一次找出所有問題
2
優化
按優先級逐項修復 FAQ、Schema、llms.txt
3
再掃描
驗證分數提升、追蹤 AI 引擎引用情況

哪些台灣網站的 AI 引用友善度排名最高?

AEO 排行榜是公開追蹤台灣 Top 100 網站的 AI 引用友善度排名平台,每日更新並包含綜合分數、SEO、AEO、GEO 與實體標記四大指標。品牌能即時了解自家網站在 ChatGPT、Claude、Perplexity 等 AI 引擎可見度排名、掌握產業平均水準並鎖定改善方向。排行榜提供免費公開資源,支援無需註冊即可瀏覽完整清單。

53 項專業檢查 · 3 大權威數據源 · 8 大 AI 引擎即時監控

GDPR 合規歐盟隱私
SSL A+ 評級TLS 1.3
Cloudflare 保護DDoS 防護
...
...

What is AEO? The complete guide

AEO-Pro is the first SaaS platform combining SEO, AEO, and GEO analysis in one scan. With 53 real-time checks, citation tracking across eight AI engines, and the Princeton KDD 2024 GEO research model, we help brands get cited by ChatGPT, Claude, Perplexity, and Gemini.

What are AEO, GEO, LLM, llms.txt, and Schema markup?

AEO, GEO, LLM, llms.txt, and Schema markup are the five key terms that form the foundation of answer-engine visibility — every one of them directly shapes whether ChatGPT, Claude, or Perplexity can cite your content. Below we give each term a single-sentence working definition and a line of context. The same five concepts map to 18 of the 53 checks and drive how AI engines score a page for citation.

AEO (Answer Engine Optimization)
AEO is a content optimization strategy targeting AI search engines, getting ChatGPT, Claude, Perplexity, and Gemini to cite your website when answering user questions.
GEO (Generative Engine Optimization)
GEO is the framework introduced in the Princeton KDD 2024 paper that adds statistics, citations, and definition blocks to lift LLM citation probability by 200%+.
LLM (Large Language Model)
LLM refers to foundation models such as ChatGPT and Claude — the core technology behind modern AI search engines that understand content and generate answers.
llms.txt
llms.txt is a plain-text file at the website root that declares to AI crawlers which content can be trained on and indexed — the AEO-era evolution of robots.txt.
Schema Markup
Schema Markup is the structured-data vocabulary published by Schema.org, usually delivered as JSON-LD so Google, ChatGPT, and Claude understand page semantics.

How can I raise an AEO score from 50 to 90 in 90 days?

Based on hundreds of real cases tracked by AEO-Pro, the following five steps consistently lift a domain from an AEO score of 50 to 90+ in 90 days. Each step maps back to several scanner checks you can verify one-by-one.

  1. 1Add FAQPage schema covering 8-15 core questions and mirror every question visibly on the page (schema-only FAQs are penalised).
  2. 2Write a single self-contained 30-80-word BLUF paragraph right below every H2. Avoid anaphoric openers like "This" or "It".
  3. 3Publish an llms.txt at site root declaring product identity, core features, and training-permitted sections. Refresh monthly with each release.
  4. 4Emit dateModified and datePublished timestamps in JSON-LD on every important page, and keep content updated within a 30-180 day window.
  5. 5Add 3-5 outbound links to authoritative domains — Wikipedia, schema.org, Princeton GEO research, Google Search Central, MDN Web Docs.

What is AEO (Answer Engine Optimization)?

AEO is a content optimization strategy built for AI search engines. It aligns your pages so ChatGPT, Claude, Perplexity, and Gemini cite your content when answering user questions. Unlike traditional SEO (which optimizes rankings), AEO focuses on making content easy for AI to understand, extract, and quote verbatim.

Source: Princeton GEO research (KDD 2024)

How do AI search engines decide which sites to cite?

AI engines rely on content structure, fact density, and authority links to decide citations. According to the Princeton GEO paper (KDD 2024), pages with definition paragraphs, statistics, and source citations see a 200%+ lift in citation probability. Schema markup, FAQ structure, concise answers, and llms.txt are all core factors.

Source: Princeton University (arxiv.org/abs/2311.09735)

How do I improve my chances of being cited by AI?

Key steps: add FAQ schema, write concise 30-80-word definition paragraphs, include verifiable statistics with source citations, publish an llms.txt file, and keep dateModified fresh. AEO-Pro's 53 checks score each of these, and the report surfaces concrete fixes with copy-ready code blocks for each finding.

Source: Schema.org FAQPage documentation

Which AI search engines does AEO-Pro track?

AEO-Pro monitors citations across eight major AI platforms: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity, Llama (Meta), DeepSeek, Grok (xAI), and Mistral. Coverage spans the US, EU, China, and open-source regions, simulating each platform's citation logic to report cross-engine visibility.

Source: Anthropic Model Context Protocol

What is llms.txt and why does it matter more than robots.txt?

llms.txt is the 2024 AI-friendly file standard proposed by Answer.AI, placed at the site root. It uses structured Markdown to tell GPTBot, ClaudeBot, and PerplexityBot about site identity, core products, and training-permitted content. In the AEO era it is the evolution of robots.txt, and AEO-Pro verifies its completeness and multi-language depth.

Source: llms-txt.org official proposal

How is AEO-Pro different from Ahrefs, SEMrush, and other SEO tools?

Traditional SEO tools (Ahrefs, SEMrush, Moz) focus on Google rankings. AEO-Pro covers 16 SEO checks AND adds 22 AEO checks plus 15 GEO checks, while actively monitoring ChatGPT, Claude, Perplexity, and Gemini citations. This AI-search dimension is entirely absent from traditional SEO platforms.

Source: Google Search Central