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。
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.
1Add FAQPage schema covering 8-15 core questions and mirror every question visibly on the page (schema-only FAQs are penalised).
2Write a single self-contained 30-80-word BLUF paragraph right below every H2. Avoid anaphoric openers like "This" or "It".
3Publish an llms.txt at site root declaring product identity, core features, and training-permitted sections. Refresh monthly with each release.
4Emit dateModified and datePublished timestamps in JSON-LD on every important page, and keep content updated within a 30-180 day window.
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.
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.
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.
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.
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.
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.
AEO 是針對 AI 搜尋引擎的內容優化策略。它讓 ChatGPT、Claude、Perplexity、Gemini 等 AI 引擎在回答問題時主動引用你的網站內容。與傳統 SEO 優化搜尋排名不同,AEO 專注於讓 AI 能正確理解、擷取並引用你的內容,兩者互補使用效果最佳。
AEO Pro 同時涵蓋 SEO、AEO、GEO 三個維度。傳統 SEO 工具只檢查搜尋排名因素,AEO Pro 額外分析 AI 引用就緒度、結構化資料完整度、FAQ Schema、llms.txt 等 AI 搜尋引擎專屬指標,並提供 AI 引用機率估算。
AI 引擎偏好結構清晰、事實明確的內容。根據 Princeton GEO 研究(KDD 2024),具備定義段落、統計數據、來源引用的網頁被引用機率提升超過 200%。Schema Markup、FAQ 結構、簡潔的回答段落都是關鍵因素。
AEO Pro 支援 8 大 AI 平台的引用分析:ChatGPT、Claude、Gemini、Perplexity、Llama、DeepSeek、Grok、Mistral(涵蓋 US / EU / CN / 開源多區域)。掃描引擎會模擬這 8 個平台的引用邏輯,評估你的內容在各平台的可見度,並提供針對性的優化建議。
提升 AI 引用機率的關鍵步驟包括:加入 FAQ Schema 結構化資料、撰寫 30-80 字的簡潔定義段落、提供可驗證的統計數據和來源引用、設定 llms.txt 檔案、確保內容新鮮度(dateModified)。AEO Pro 的 53 項檢查會逐一評估這些因素。