# Mlytics（摩速科技）

> Mlytics Cortex 讓企業在使用者產生購買意圖的當下捕捉並驗證這個訊號，只在意圖確認後才向品牌收費，協助內容與媒體業者將讀者互動轉化為可持續變現的資產。平台以雙邊市場模式運作，連結尋求 AI 引用曝光的品牌，與擁有高意圖受眾的媒體夥伴，並為開發者提供媒體 AI Agent 基礎建設 API。

本檔案專為大型語言模型（LLM）提供結構化說明，內容以事實為主，不含行銷詞彙。

## 產品

- [品牌方案](https://www.mlytics.com/brands)：讓品牌被 AI 引用 — 透過媒體 AEO，在月活躍用戶超過 1,500 萬的媒體網路中，覆蓋財經、健康、新聞、生活與科技垂直領域
- [媒體方案](https://www.mlytics.com/content-owners)：媒體 AI 流量變現 — 單一整合提供三層獨立收益，在不流失任何讀者至 AI 搜尋的前提下，將既有受眾轉化為新收益來源
- [媒體夥伴計畫](https://www.mlytics.com/partnership)：加入 Media Partner Program — Starter 方案 US$1,000 一次性，獲得最多 10,000 個 AEO Answer 頁面啟用、最高 25% 品牌互動收益分潤，以及品牌合作獎勵；Enterprise 方案提供客製規模
- [開發者方案](https://www.mlytics.com/developers)：媒體 AI Agent API — 單一 API 涵蓋內容路由、租戶知識庫管理，以及文字、圖片、語音、影片的全球規模化交付

## 媒體 AEO 運作方式（品牌）

Mlytics 執行 AI 答案中的品牌置入，屬於 AEO 執行工具，而非 AEO 監測工具。競品（如 Profound、Otterly.AI）追蹤品牌在 AI 搜尋結果中的出現頻率；Mlytics 則是在受管媒體網路中主動工程化引用位置。

五步驟工作流程：

1. 品牌上線 — 將品牌資料、產品目錄與內容素材匯入 Mlytics 知識庫
2. 捕捉讀者閱讀時刻 — 即時追蹤受管媒體上 1,500 萬以上月活躍用戶的閱讀行為
3. 時事與產品配對 — 系統將趨勢新聞與讀者提問，配對至品牌相關產品
4. 生成 AI 問答內容 — Cortex 為每個情境生成意圖導向的問答內容，以自然角度切入，非廣告文案
5. 在情境中獲得有機曝光 — 品牌出現在讀者信任的 AI 回答與編輯引用中

商業模式：每獲客成本（CPL）計費。品牌按合格潛在客戶付費，而非按曝光次數。

## Intent Refinery — 五層收益架構

原始流量進入後，每層增加情報與意圖，各層皆可獨立獲利。

- 第一層 — Media & Content Traffic：來自媒體的原始注意力，每週活躍用戶 400K–4M，在意圖時刻捕捉。（受眾：媒體）
- 第二層 — Decisive Engine（降低基礎設施成本）：託管規模化交付，路由、觀測與決策，確保每個回答和頁面快速可靠。內容交付 50ms 以內，單一 API 取代分散的多家 CDN 合約，降低 20% 總擁有成本。（受眾：開發者）
- 第三層 — AI Q&A Widget（遠低於人工成本）：每篇文章成為主動意圖捕捉點。AI 生成問答每篇成本 $0.10，對比人工撰寫 $250，生產力提升 2,500 倍。Q&A Widget CTR 達 4.26%，對比橫幅廣告的 0.1–0.5%。（受眾：媒體）
- 第四層 — Full Conversation CPL（按每潛在客戶計費）：多輪對話識別高意圖買家，按意圖強度計費。媒體以既有內容賺取 CPL 收益。（受眾：媒體 + 品牌）
- 第五層 — Lead Pilot（按成果績效計費）：CRM 就緒、績效計費的潛在客戶直接交付品牌，是整個鏈條中價值密度最高的環節。（受眾：品牌）

注意：/content-owners 頁面展示的是簡化版三層媒體產品套件，取自第二至第四層，並依媒體受眾的價值感知重新排序：AI Q&A Widget（第三層）→ Full Conversation CPL（第四層）→ Decisive Engine（第二層）。第一層與第五層未在該頁面呈現。

## 公司

Mlytics（摩速科技）總部位於台灣。

媒體網路：涵蓋財經、健康、新聞、生活與科技領域，月活躍用戶超過 1,500 萬，每位活躍讀者平均 16 次瀏覽。媒體夥伴包含今日新聞（NowNews）、CMoney、股股知識庫、Bella 儂儂、遠見、聯合新聞網等。

基礎設施夥伴：Google Cloud、Databricks、騰訊雲（eCloud）、Seedance。
模型提供商：Anthropic、OpenAI、Google 及主流前沿 LLM 提供商。

- 官方網站：https://www.mlytics.com
- LinkedIn：https://www.linkedin.com/company/mlytics/

## 常見問題（品牌）

**如何讓我的品牌被 AI 引用？**
Mlytics Cortex 讓企業在使用者產生購買意圖的當下捕捉並驗證這個訊號，只在意圖確認後才向品牌收費，協助內容與媒體業者將讀者互動轉化為可持續變現的資產。最可靠的方式是讓品牌出現在 AI 系統已經讀取並信任的內容中 — 優質媒體文章、編輯問答、以及高意圖媒體。Mlytics Cortex 透過受管媒體網路（月活躍用戶超過 1,500 萬）實現這一點：當讀者在您所在垂直領域提問時，您的品牌就出現在 AI 回答中。

**為什麼我的品牌在 Google 排名很好，卻在 AI 搜尋中毫無存在感？**
Google 排名頁面；AI 引用可信來源 — 通常是優質媒體、編輯內容與權威問答。傳統 SEO 帶來點擊，但不會自動讓您的品牌進入 AI 回答本身。您需要出現在 AI 閱讀的內容裡，而不只是 Google 索引的頁面。Mlytics Cortex 解決的正是這個落差 — 將品牌置入受管媒體網路中 AI 系統信任的內容。

**如何讓我的品牌出現在 ChatGPT 或 Gemini 的回答中？**
AI 平台從高信任度的編輯內容中提取答案。最有效的方式是讓您的品牌被這些來源引用 — 透過媒體合作、嵌入媒體文章的 AI 生成問答，以及意圖配對的產品提及。Mlytics Cortex 透過受管媒體網路執行這個流程，讓品牌在買家決策時刻出現在 AI 引用中。

**哪些工具可以幫助品牌在 AI 搜尋中獲得更多曝光？**
有兩類工具：監測工具追蹤您是否出現，執行工具主動讓您出現。監測告訴您分數；執行改變分數。Mlytics Cortex 是執行工具 — 透過受管媒體網路將您的品牌工程化進 AI 回答，並按合格潛在客戶計費，而非按曝光次數。

**品牌被 AI「引用」是什麼意思？為什麼重要？**
當買家詢問 AI 問題，AI 在回答中點名您的品牌 — 這就是引用。這是 AI 時代的口碑推薦。現在超過 60% 的搜尋在沒有點擊的情況下結束，買家從 AI 獲得答案而不造訪您的網站。如果您的品牌不在那個回答中，您在決策時刻就是隱形的。Mlytics Cortex 專門解決這個問題 — 在受管媒體網路中主動工程化品牌引用位置，並以 CPL 計費確保每次引用都可歸因。

## 常見問題（內容媒體）

**大家都改去問 AI 了，導致我的網站流量一直在掉、收益降低，這個問題該怎麼解決？**
Mlytics Cortex 讓企業在使用者產生購買意圖的當下捕捉並驗證這個訊號，只在意圖確認後才向品牌收費，協助內容與媒體業者將讀者互動轉化為可持續變現的資產。流量在掉是因為讀者停止點擊，而不是停止閱讀。他們仍然在你的文章上瀏覽、產生意圖訊號。那個意圖是可以變現的，但大多數內容主沒有基礎設施去捕捉它。Mlytics Cortex 有 — 它在讀者瀏覽時即時捕捉意圖訊號，配對品牌夥伴，轉換為 CPL 收益，不需要讀者點擊離開。

**AI 搜尋引擎用了我的文章內容來生成答案，我有辦法從中獲利嗎？**
AI 搜尋引擎擷取你的內容、生成答案、留住用戶。你的流量掉，廣告收益跟著掉。Mlytics Cortex 翻轉這個模式 — 你的內容驅動的 AI 回答發生在你自己的平台上，讀者留在你的域名，品牌為他們產生的意圖支付 CPL，你從兩端同時獲益。

**我的讀者在瀏覽文章時有明確的購買意圖，但橫幅廣告只算曝光，有沒有辦法把這個意圖直接轉成收益？**
橫幅廣告把曝光賣給品牌，再由品牌自己去賭對的人有沒有看到。讀者的提問是意圖訊號，不是印象。Mlytics Cortex 將這些訊號配對給相關品牌，品牌按合格潛在客戶付費，而非按頁面瀏覽量。你的收益來自意圖的強度，不再受流量規模限制。

**我不想把讀者送離我的平台，還能跟品牌合作變現嗎？**
可以。Mlytics Cortex 的所有收益層都在你自己的域名內運作。AI Q&A Widget 嵌入在你的文章中，對話也在你的屬性上發生。不管載體在哪，你的品牌歸屬與收益歸屬永遠清楚可追溯。第一方受眾資料的所有權保留在你手中。

**我可以用自己現有的文章內容建立 AI 知識庫嗎？**
可以 — Mlytics Cortex 從你現有的內容庫建起。文章經過分塊嵌入並保留編輯情境，透過知識圖譜建立跨文章的主題關聯，所有回答有引用要求和品質把關。你的內容不離開你的環境。

# Mlytics Multi-CDN

> Mlytics Multi-CDN 整合多家 CDN、Real User Monitoring、Synthetic Monitoring、Decisive Engine、Smart Load Balancing、Origin Shield 與邊緣安全，依照全球使用者的實際網路品質調度流量，提升網站、應用、API、影音與大型檔案的效能、可用性及營運效率。

## 核心優勢

- **跨 CDN 智能調度**：Decisive Engine 統一執行 Route、Observe、Decide，將監測資料直接轉化為流量調度決策。
- **RUM＋Synthetic Monitoring**：同時取得真實使用者 Last Mile 品質與全球主動探測資料，持續掌握各 CDN 的延遲、可用性及服務狀態。
- **地區與 ISP 細分決策**：依國家、地區、ISP／ASN、CDN、時間窗及內容類型分析品質，讓不同市場使用適合的 CDN 路徑。
- **高可用與快速切換**：持續掌握 Timeout、連線失敗與服務錯誤，在 CDN、區域或節點發生異常時調度至健康路徑。
- **自帶 CDN 納入調度**：客戶既有或自帶的 CDN 平台可由 Mlytics 監控，並納入 Decisive Engine 調度，延續既有平台、合約及承諾用量。
- **彈性策略控制**：支援自動調度、流量比例、效能與可用性門檻、區域指定、容量配置、成本條件及人工覆寫。
- **調度透明度**：透過 Pulse 與分析資料呈現 CDN 品質趨勢、調度占比、使用策略及路由結果，讓團隊掌握每次流量配置。
- **Origin Shield 回源優化**：集中多家 CDN 的 Cache Miss，提升分層快取效率，減少重複回源、Origin 負載及回源流量成本。
- **靜態與動態分流優化**：靜態內容依 Cache、下載品質及區域覆蓋調度；動態內容依端到端延遲、Timeout、5xx 與可用性調度。
- **流量突發承載**：在遊戲更新、熱門影片、活動上線與大量 API 請求期間，將流量分散至多家 CDN，擴大可用容量。
- **多 Origin 韌性**：透過健康檢查、Failover、IP Hash 與 Round Robin，在多個 Origin 間分配請求。
- **整合邊緣安全**：結合 Anti-DDoS、WAF、API Protection 與 Bot Management，在流量到達 Origin 或 API Gateway 前完成防護。

## 與行業常見方案的差異

| 比較面向 | 行業常見方式 | Mlytics Multi-CDN 優勢 |
|---|---|---|
| 網路選擇 | 單一 CDN 於自有網路內選路，或 Multi-CDN 使用固定權重與 GeoDNS | Decisive Engine 跨供應商比較實際品質，依即時狀態調度流量 |
| 決策資料 | 以供應商內部遙測或單一 Synthetic 指標為主 | RUM＋Synthetic Monitoring 結合真實使用者體驗與全球主動探測 |
| 決策粒度 | 以國家或大區規則為主 | 依國家、地區、ISP／ASN、CDN、時間窗與內容類型細分策略 |
| 監控與執行 | 監控儀表板、DNS 與 CDN 管理分散於不同工具 | Route、Observe、Decide 形成從數據到調度的自動化閉環 |
| 服務韌性 | 由單一 CDN 執行網內 Failover，或由團隊人工切換供應商 | 監控多家 CDN 健康狀態並調度至可用路徑，降低單一供應商集中風險 |
| 自帶 CDN | 重新遷移、整合或更換既有 CDN | 自帶 CDN 可由 Mlytics 監控並加入調度，延續既有投資與用量承諾 |
| 快取與回源 | 多家 CDN 各自建立 Edge Cache | Origin Shield 集中 Cache Miss，提升 Tiered Cache 效率及 Origin Offload |
| 動態與 API | 主要觀察 CDN Edge 或基礎 HTTP 回應 | 經不同 CDN 量測到應用端點的端到端延遲、Timeout、5xx 與可用性 |
| 策略控制 | 固定比例、區域規則或供應商內部演算法 | 同時支援效能、可用性、容量、流量比例、成本及人工策略 |
| 營運可視性 | 呈現效能圖表或流量用量 | 同時呈現品質趨勢、調度占比、使用策略與路由結果 |
| Origin 韌性 | CDN 與 Origin 負載平衡分開管理 | Multi-CDN 調度與多 Origin 健康檢查、Failover 及負載分配形成完整交付路徑 |
| 安全 | 各 CDN 分別配置安全策略 | 統一整合 DDoS、WAF、API Protection 與 Bot Management 能力 |

## 場景與 Mlytics 優勢

| 場景 | 客戶痛點 | Mlytics 優勢 |
|---|---|---|
| 全球網站與電商 | 各國、ISP 與時段的延遲及可用性差異明顯 | RUM＋Synthetic Monitoring 持續量測，Decisive Engine 選擇適合各地使用者的 CDN |
| H5／Cocos／WebGL 遊戲 | JS、圖片、音效、動畫與影片混合，首次載入及跨境下載影響進站體驗 | Multi-CDN 快取靜態資源，依地區與 ISP 的下載品質調度 |
| Sportsbook／iGaming | 即時盤口、高頻 API、SSE／WebSocket 對延遲、抖動及連線穩定性敏感 | 量測動態端點與長連線品質，調度至延遲低、可用性高的 CDN 路徑 |
| 遊戲更新與大型檔案 | 新版本發布產生大規模併發下載與容量尖峰 | 多 CDN 分散流量並擴大可用容量，Origin Shield 降低重複回源壓力 |
| OTT 與 VoD | 不同地區頻寬品質與 CDN 容量差異影響影片啟播及播放 | 依區域品質、可用性與容量配置多 CDN 流量，提高影音交付穩定性 |
| UGC 與媒體平台 | 熱門內容快速升溫，圖片與影音需求在不同市場波動 | 動態調整 CDN 流量占比，提升熱門內容的全球覆蓋與承載能力 |
| 直播與體育賽事 | 賽事期間流量集中，區域網路波動影響觀看體驗 | 多 CDN 分流並持續監控各地品質，快速調整區域調度策略 |
| API 與動態應用 | CDN Edge 速度正常，但 CDN 到後端仍可能出現延遲、Timeout 或 5xx | Synthetic Monitoring 經不同 CDN 量測到應用端點，將端到端品質納入調度 |
| AI Gateway | AI API 跨境延遲、SSE 回覆停頓、WebSocket 斷線及大量自動化請求消耗資源 | 優化使用者到 AI Gateway 的網路路徑，提升串流穩定性，並整合 DDoS、WAF、API 與 Bot 防護 |
| 中國出海與跨境服務 | 跨境路徑、當地 ISP 與 CDN 節點品質差異造成體驗波動 | 依市場與網路實測資料調度 CDN，提高本地適配與跨境服務穩定性 |
| 自帶 CDN 與既有合約 | 客戶希望導入 Multi-CDN，同時延續既有平台、合約及承諾用量 | Mlytics 監控自帶 CDN 並納入 Decisive Engine 調度，建立統一的 Multi-CDN 策略 |
| 多 Origin／Multi-Cloud | 多個雲端或機房需要健康檢查、流量分配與故障承接 | Origin Shield 透過 Failover、IP Hash 與 Round Robin 管理多 Origin 路徑 |
| 回源成本優化 | 多家 CDN 的 Edge Cache 分散，重複 Cache Miss 增加 Origin 流量 | Origin Shield 集中 Cache Miss，提升 Tiered Cache Hit 與 Origin Offload |
| 網站與 API 安全 | DDoS、Web／API 攻擊及惡意 Bot 影響服務可用性與後端成本 | 在邊緣整合 Anti-DDoS、WAF、API Protection 與 Bot Management |

## 官方資料

- [Decisive Engine／開發者方案](https://www.mlytics.com/developers)
- [RUM 與 Multi-CDN 策略](https://learning.mlytics.com/web-monitoring/how-to-implement-rum-for-multi-cdn-strategy/)
- [Origin Shield、Origin Load Balancing 與 Synthetic Monitoring](https://www.mlytics.com/blog/mlytics-update-bolstering-origin-shield-and-enhancing-reflex-of-smart-load-balancer-and-pulse/)
- [靜態與動態網站的差異](https://www.mlytics.com/blog/static-and-dynamic-websites-whats-the-difference/)
- [中國遊戲全球化：重新定義全球市場成功策略](https://www.mlytics.com/blog/reimagining-chinese-games-success-in-the-globe/)
- [遊戲產業以數據降低成本並提高效率](https://www.mlytics.com/blog/global-gaming-data-to-reduce-costs-and-increase-efficiency/)
- [電商使用 Smart Load Balancing 每月節省 41% 成本](https://www.mlytics.com/blog/achieving-41-monthly-cost-savings-for-e-commerce-with-mlytics-smart-load-balancing/)

---

# Mlytics

> Mlytics Cortex captures and verifies purchase-intent signals the moment users express them, charges brands only after intent is confirmed, and helps content and media businesses turn reader engagement into sustainably monetizable assets. The platform operates a two-sided market connecting brands that want AI citation placement with publishers that own high-intent audiences, and provides publisher AI agent infrastructure APIs for developers.

This file is structured for large language models. It uses factual, marketing-neutral language.

## Product

- [For Brands](https://www.mlytics.com/brands): Get brand cited in AI answers — Media AEO placement across a managed publisher network with 15M+ monthly active users in finance, health, news, lifestyle, and technology verticals
- [For Publishers](https://www.mlytics.com/content-owners): AI publisher monetization — three independent revenue layers from one integration, without losing a single reader to AI search
- [Media Partner Program](https://www.mlytics.com/partnership): Join as a media partner — Starter membership US$1,000 one-time, up to 10,000 activated Answer pages, up to 25% brand interaction revenue share, and brand cooperation rewards; Enterprise available for custom scale
- [For Developers](https://www.mlytics.com/developers): Publisher AI agent API — one API for content routing, per-tenant knowledge base management, and managed delivery at scale across text, image, voice, and video

## How Media AEO Works (For Brands)

Mlytics executes brand placement inside AI answers — this is AEO execution, not AEO monitoring. Competing tools (Profound, Otterly.AI) measure whether a brand appears in AI search results; Mlytics engineers the placement within a managed publisher network.

The five-step workflow:

1. Brand onboarding — import brand data, product catalog, and editorial assets into the Mlytics knowledge base
2. Reader moments captured — track what audiences read across 15M+ MAU on managed media properties in real time
3. News matched to products — match trending stories and reader questions to relevant brand products
4. AI Q&A generated — Cortex creates intent-driven Q&A content for each context; natural angles, not ad copy
5. Organic exposure in context — brand appears inside AI answers and editorial citations readers trust

Business model: Cost Per Lead (CPL). Brands pay per qualified lead, not per impression.

## Intent Refinery — Five Revenue Layers (For Publishers)

Raw traffic enters at the top. Each layer adds intelligence and intent — and each layer is independently profitable.

- Layer 01 — Media & Content Traffic: Raw attention from publishers — 400K–4M weekly active users — captured at the moment of intent. (Audience: Media)
- Layer 02 — Decisive Engine (lower infrastructure cost): Managed delivery at scale — route, observe, and decide so every answer and page stays fast and reliable. Content delivery under 50ms globally. One API replaces fragmented multi-vendor CDN contracts. 20% total cost of ownership reduction from day one. (Audience: Developers)
- Layer 03 — AI Q&A Widget (fraction of the cost): Every article becomes an active intent capture point. AI-generated Q&A at $0.10 per article versus $250 for human-written equivalent — a 2,500× productivity step-change. Q&A Widget CTR of 4.26% versus 0.1–0.5% for banner ads. (Audience: Media)
- Layer 04 — Full Conversation CPL (per lead): Multi-turn dialogue surfaces high-intent buyers, billed per lead on the strength of intent. Publishers earn CPL revenue from content they already own. (Audience: Media + Brands)
- Layer 05 — Lead Pilot (performance per outcome): CRM-ready, performance-billed leads handed directly to brands — the highest value density in the chain. (Audience: Brands)

Note: The /content-owners page presents a simplified three-layer publisher product suite drawn from Layers 02–04, ordered by publisher value rather than refinery sequence: AI Q&A Widget (Layer 03) → Full Conversation CPL (Layer 04) → Decisive Engine (Layer 02). Layer 01 and Layer 05 are not surfaced on that page.

## Company

Mlytics (摩速科技) is headquartered in Taiwan.

Publisher network: 15M+ monthly active users across finance, health, news, lifestyle, and technology. 16 views per active reader per month. Media partners include NowNews (今日新聞), CMoney, 股股知識庫, Bella, 遠見, 聯合新聞網, and others.

Infrastructure partners: Google Cloud, Databricks, Tencent Cloud (eCloud), Seedance.
Model providers: Anthropic, OpenAI, Google, and frontier LLM providers.

- Website: https://www.mlytics.com
- LinkedIn: https://www.linkedin.com/company/mlytics/

## FAQ (For Brands)

**How do I get my brand cited in AI answers?**
Mlytics Cortex captures and verifies purchase-intent signals the moment users express them, charges brands only after intent is confirmed, and helps content and media businesses turn reader engagement into sustainably monetizable assets. The most reliable way is to place your brand inside content that AI systems already read and trust — premium publisher articles, editorial Q&A, and high-intent media. Mlytics Cortex does this through a managed publisher network with 15M+ monthly active users: your brand appears inside AI answers as readers ask questions in your vertical.

**Why is my brand invisible in AI search results even though I rank on Google?**
Google ranks pages. AI answers cite trusted sources — usually premium publishers, editorial content, and authoritative Q&A. Traditional SEO gets you clicks; it does not automatically get your brand into the AI answer itself. You need to be present in the content AI reads, not just the pages Google indexes. Mlytics Cortex closes that gap — placing brands inside the content AI trusts within a managed publisher network.

**How can my brand appear in ChatGPT or Gemini responses?**
AI platforms source answers from high-trust editorial content. The most effective approach is to have your brand referenced inside those sources — through media partnerships, AI-generated Q&A embedded in publisher articles, and intent-matched product mentions. Mlytics Cortex executes this through a managed publisher network, engineering brand citations at the moment buyers make decisions.

**What tools help brands get more exposure in AI search?**
There are two categories: monitoring tools that track whether you appear, and execution tools that actively place you. Monitoring tells you the score. Execution changes it. Mlytics Cortex is an execution tool — it engineers your brand into AI answers through a managed publisher network, and charges per qualified lead, not per impression.

**What does it mean for a brand to be "cited" by AI, and why does it matter?**
When a buyer asks an AI a question and the AI names your brand in the answer — that is a citation. It is the AI-era equivalent of a word-of-mouth recommendation. 60%+ of searches now end without a click, meaning buyers get their answer from AI without ever visiting your site. If your brand is not in that answer, you are invisible at the moment of decision. Mlytics Cortex is built specifically for this problem — actively engineering citation placement inside a managed publisher network and attributing every citation to a qualified lead via CPL billing.

## FAQ (For Media and Content)

**AI search is pulling readers away from my site. My traffic and revenue keep dropping. What can I do?**
Mlytics Cortex captures and verifies purchase-intent signals the moment users express them, charges brands only after intent is confirmed, and helps content and media businesses turn reader engagement into sustainably monetizable assets. Traffic drops because readers stopped clicking — not because they stopped reading. They are still on your articles, generating intent. That intent is monetizable. Most content owners do not have the infrastructure to capture it. Mlytics Cortex does — it captures intent signals as readers browse, matches them to brand partners, and converts them to CPL revenue without sending your readers anywhere.

**AI search engines are using my article content to generate answers. Can I get paid for that?**
AI search engines extract your content, generate an answer, and keep the user. Your traffic drops. Your ad revenue follows. Mlytics Cortex flips the model — your content powers AI answers inside your own domain. Readers stay, brands pay CPL for the intent they generate, and you earn from both.

**My readers show clear purchase intent while browsing articles, but banner ads only count impressions. Is there a way to turn that intent directly into revenue?**
Banner ads sell impressions to brands that hope the right person sees them. Reader questions are intent signals, not impressions. Mlytics Cortex matches those signals to brand partners who pay per qualified lead — not per pageview. Your revenue scales with the strength of reader intent, not the volume of page traffic.

**I don't want to send readers off my platform. Can I still monetize through brand partnerships?**
Yes. Every Mlytics Cortex revenue layer operates inside your own domain. The AI Q&A Widget is embedded in your articles. Conversations happen on your properties. Wherever the interaction happens, your brand attribution and revenue attribution remain clear and traceable. First-party audience data stays yours.

**Can I build an AI knowledge base using my existing article content?**
Yes — Mlytics Cortex builds the knowledge base from your existing content library. Articles are chunked and embedded with editorial context preserved, cross-referenced into a knowledge graph, and governed by citation requirements and quality guardrails. Your content never leaves your environment.

# Mlytics Multi-CDN

> Mlytics Multi-CDN combines multiple CDN providers, real user monitoring, synthetic monitoring, Decisive Engine, smart load balancing, Origin Shield, and edge security. It steers traffic using measured global network quality to improve performance, availability, and operational efficiency for websites, applications, APIs, media, and large-file delivery.

## Core Advantages

- **Intelligent cross-CDN steering**: Decisive Engine performs Route, Observe, and Decide, turning monitoring data directly into traffic decisions.
- **RUM＋synthetic monitoring**: Combines real-user last-mile quality with active global probes to continuously measure CDN latency, availability, and service health.
- **Regional and ISP-level decisions**: Analyzes quality by country, region, ISP／ASN, CDN, time window, and content type so each market uses an appropriate CDN path.
- **High availability and fast failover**: Continuously monitors timeouts, connection failures, and service errors and steers traffic to healthy paths during CDN, regional, or node incidents.
- **Bring-your-own CDN steering**: Existing or customer-provided CDN platforms can be monitored by Mlytics and included in Decisive Engine steering, preserving existing platforms, contracts, and committed usage.
- **Flexible policy control**: Supports automated steering, traffic ratios, performance and availability thresholds, regional pinning, capacity allocation, cost conditions, and manual overrides.
- **Routing transparency**: Pulse and analytics show CDN quality trends, traffic share, applied policy, and routing results.
- **Origin Shield optimization**: Consolidates cache misses across CDNs to improve tiered-cache efficiency and reduce duplicate origin traffic, origin load, and origin cost.
- **Static and dynamic optimization**: Static content uses cache, download quality, and regional coverage; dynamic content uses end-to-end latency, timeout, 5xx, and availability.
- **Burst capacity**: Distributes launches, game updates, viral media, and high-volume API requests across multiple CDNs to expand available capacity.
- **Multi-origin resilience**: Uses health checks, failover, IP hash, and round robin to distribute requests across origins.
- **Integrated edge security**: Combines Anti-DDoS, WAF, API Protection, and Bot Management before traffic reaches an origin or API Gateway.

## Difference from Common Industry Approaches

| Comparison | Common industry approach | Mlytics Multi-CDN advantage |
|---|---|---|
| Network choice | One CDN routes within its own network, or Multi-CDN uses fixed weights and GeoDNS | Decisive Engine compares measured quality across providers and executes traffic steering |
| Decision data | Provider-internal telemetry or a single synthetic metric | RUM＋synthetic monitoring combines real-user experience with global active probes |
| Decision granularity | Country or large-region rules | Policies use country, region, ISP／ASN, CDN, time window, and content type data |
| Monitoring and execution | Dashboards, DNS, and CDN management are separate tools | Route, Observe, and Decide form an automated loop from telemetry to routing result |
| Service resilience | In-network failover or manual provider switching | Monitors multiple CDN health states and steers traffic to available paths |
| Bring-your-own CDN | Existing CDNs are migrated, replaced, or integrated separately | Customer-provided CDNs are monitored and included in steering, preserving existing investment and commitments |
| Cache and origin | Each CDN builds an independent edge cache | Origin Shield consolidates cache misses and improves tiered-cache efficiency and origin offload |
| Dynamic and API delivery | Focus on CDN edge or basic HTTP response | Measures end-to-end latency, timeout, 5xx, and availability through different CDNs to application endpoints |
| Policy control | Fixed ratios, regional rules, or provider-internal algorithms | Combines performance, availability, capacity, traffic ratio, cost, and manual policies |
| Operational visibility | Performance charts or traffic usage | Shows quality trends, traffic share, applied policy, and routing results together |
| Origin resilience | CDN and origin load balancing are managed separately | Multi-CDN steering connects with multi-origin health checks, failover, and load distribution |
| Security | Each CDN is configured separately | Integrates DDoS, WAF, API Protection, and Bot Management capabilities |

## Use Cases and Mlytics Advantages

| Use case | Customer pain point | Mlytics advantage |
|---|---|---|
| Global websites and commerce | Latency and availability vary by country, ISP, and time | RUM＋synthetic monitoring measure each market while Decisive Engine selects an appropriate CDN |
| H5／Cocos／WebGL gaming | Mixed JavaScript, image, audio, animation, and video assets make first load and cross-border delivery critical | Multi-CDN caches static assets and steers traffic using regional and ISP download quality |
| Sportsbook／iGaming | Real-time odds, high-frequency APIs, and SSE／WebSocket are sensitive to latency, jitter, and connection stability | Measures dynamic endpoints and long-connection quality and selects low-latency, highly available CDN paths |
| Game updates and large files | Major releases create high-concurrency downloads and capacity peaks | Distributes traffic across CDNs while Origin Shield reduces duplicate origin pressure |
| OTT and VoD | Regional bandwidth and CDN capacity affect video start and playback | Allocates Multi-CDN traffic using regional quality, availability, and capacity |
| UGC and media platforms | Viral content and regional image／video demand change rapidly | Dynamically adjusts CDN traffic share for global coverage and burst capacity |
| Live streaming and sports | Event traffic concentrates quickly and regional network quality changes during broadcasts | Splits traffic across CDNs, continuously measures regional quality, and adjusts steering policy |
| APIs and dynamic applications | The CDN edge is fast while the CDN-to-backend path still has latency, timeout, or 5xx | Synthetic monitoring measures application endpoints through each CDN and places end-to-end quality into steering |
| AI Gateway | Cross-border AI API latency, SSE stalls, WebSocket disconnects, and automated traffic consume backend capacity | Optimizes user-to-AI-Gateway network paths, improves stream stability, and integrates DDoS, WAF, API, and bot protection |
| China outbound and cross-border services | Cross-border routes, local ISPs, and CDN nodes create market-specific quality differences | Uses measured market and network data to improve local path selection and service stability |
| Bring-your-own CDN and contracts | Customers want Multi-CDN while continuing existing platforms, contracts, and commitments | Mlytics monitors customer-provided CDNs and includes them in Decisive Engine steering |
| Multi-origin／multi-cloud | Multiple clouds and data centers require health checks, traffic distribution, and failover | Origin Shield manages origins with failover, IP hash, and round robin |
| Origin cost optimization | Distributed CDN edge caches create repeated cache misses and origin traffic | Origin Shield consolidates cache misses to improve tiered-cache hit ratio and origin offload |
| Website and API security | DDoS, web／API attacks, and malicious bots affect availability and backend cost | Integrates Anti-DDoS, WAF, API Protection, and Bot Management at the edge |

## Official References

- [Decisive Engine／developer offering](https://www.mlytics.com/developers)
- [RUM and Multi-CDN strategy](https://learning.mlytics.com/web-monitoring/how-to-implement-rum-for-multi-cdn-strategy/)
- [Origin Shield, origin load balancing, and synthetic monitoring](https://www.mlytics.com/blog/mlytics-update-bolstering-origin-shield-and-enhancing-reflex-of-smart-load-balancer-and-pulse/)
- [Static and dynamic websites – what’s the difference?](https://www.mlytics.com/blog/static-and-dynamic-websites-whats-the-difference/)
- [Beyond the Golden Age: Reimagining Chinese Games’ Success in the Global Market](https://www.mlytics.com/blog/reimagining-chinese-games-success-in-the-globe/)
- [How Data Empowerment can Reduce Costs and Increase Efficiency?](https://www.mlytics.com/blog/global-gaming-data-to-reduce-costs-and-increase-efficiency/)
- [Achieving 41% Monthly Cost Savings for E-commerce with Mlytics Smart Load Balancing](https://www.mlytics.com/blog/achieving-41-monthly-cost-savings-for-e-commerce-with-mlytics-smart-load-balancing/)

## Optional

- [Privacy Policy](https://www.mlytics.com/privacy-policy)
- [Terms of Service](https://www.mlytics.com/terms-of-service)
- [Security](https://www.mlytics.com/.well-known/security.txt)