# OrcaScope

> OrcaScope is an AI-visibility monitoring & GEO (Generative Engine Optimization, also known as AEO) platform, purpose-built to cover BOTH Western and Chinese AI engines. It measures whether AI assistants mention, rank and cite your brand when users ask them questions, and helps you improve that visibility with white-hat methods only. Fully bilingual (English / 中文). Currently in private beta.

Key facts:
- Live engines scored today (8): ChatGPT (OpenAI), Kimi (Moonshot AI), DeepSeek (Volcengine), Gemini (Google), Doubao (ByteDance), Qwen (Alibaba), Perplexity, Grok (xAI). Being integrated (2): Hunyuan Yuanbao, ERNIE Bot.
- Scoring methodology is published in full — how the 0–100 visibility score is computed, how citations are judged, and when we honestly flag "not enough data" instead of pretending precision.
- Strictly white-hat: we only query public AI answers. No prompt injection, no AI-poisoning, no fabricated reviews. No scripts or trackers required on your site.
- Pricing: Free plan (1 brand, 5 prompts, 3 checkups/month) · Pro at $199/month (or ¥1,500/month in the Chinese market; ~20% off annually) · Custom for larger needs.

## Core pages

- [Free AI-visibility checkup](https://orca-scope.com/checkup): instant, no-signup snapshot of how visible a brand is in AI answers
- [GEO content diagnose](https://orca-scope.com/diagnose): free GEO-readiness check for any public page URL
- [Scoring methodology](https://orca-scope.com/methodology): the full, public scoring spec (0–100 score, citation judging, honest degradation)
- [Industry benchmarks](https://orca-scope.com/benchmarks): public, anonymized AI-visibility benchmarks by industry
- [Compare](https://orca-scope.com/compare): factual, dated comparisons of AI-visibility products
- [Pricing](https://orca-scope.com/pricing): plans and regional pricing
- [Embed widget](https://orca-scope.com/embed): free embeddable AI-visibility checkup widget

## Resources (guides & observations)

- [Resource hub](https://orca-scope.com/resources): GEO guides, scoring explainers and first-hand Chinese-vs-Western engine observations (中文版: https://orca-scope.com/zh/resources)
- [What is GEO (Generative Engine Optimization)? Definition, mechanics, and the white-hat playbook](https://orca-scope.com/resources/what-is-geo): What GEO is, where the term comes from, how it relates to SEO, and the five white-hat practices that actually move AI visibility.
- [GEO vs AEO vs SEO: what actually differs](https://orca-scope.com/resources/geo-vs-aeo-vs-seo): Where SEO, AEO and GEO each come from, what genuinely differs, and why fighting over the labels wastes budget.
- [First-hand notes on Chinese vs Western AI engines: one question, two answer ecosystems](https://orca-scope.com/resources/chinese-vs-western-ai-engines): Four structural differences we see daily between Chinese and Western AI engines: citation ecosystems, answer shapes, volatility, and brand aliases.
- [A field guide to Chinese AI engines (mid-2026)](https://orca-scope.com/resources/chinese-ai-engine-landscape): Doubao, Kimi, DeepSeek, Yuanbao, ERNIE and more — a three-category map of how Chinese users meet AI answers, and three structural differences from the West.
- [How we score AI visibility: the full story behind the 0–100 number](https://orca-scope.com/resources/how-we-score): The six steps from monitoring prompts to the 0–100 score: mention detection, citation parsing, small-sample down-weighting and versioning — in plain language.
- [The GEO glossary: 30 terms, bilingual](https://orca-scope.com/resources/geo-glossary): From GEO and AEO to mention rate, llms.txt and prompt injection — one-line bilingual definitions of 30 core terms in the field.
- [Building OrcaScope in public: the Wave 0–1 experiment log](https://orca-scope.com/resources/building-in-public-log): We are our own first customer — a plain record of the three real Wave 0–1 changes we shipped, including what we haven't done yet.

## Product

- [Sign up](https://orca-scope.com/signup): create an account (free during private beta)
- [Log in](https://orca-scope.com/login): monitoring dashboard — per-engine scores, trends, citations, competitor comparison, action plans and operator reports

## For AI agents & developers

- [Developers](https://orca-scope.com/developers): REST Open API v1 + MCP endpoint docs
- MCP endpoint (Model Context Protocol, Streamable HTTP): POST https://orca-scope.com/api/mcp with `Authorization: Bearer <api key>` — AI agents can query brand visibility scores, citations, industry benchmarks and the engine list via standard MCP tools (read-only)

## Legal

- [Privacy policy](https://orca-scope.com/privacy)
- [Terms of service](https://orca-scope.com/terms)

---

# OrcaScope（中文）

> OrcaScope 是一个 AI 可见度监测与 GEO（生成式引擎优化，亦称答案引擎优化 AEO）平台，为同时覆盖中西两侧主流 AI 引擎而生。它测量当用户向 AI 提问时，AI 的回答是否提到你的品牌、排名如何、是否引用你的网站，并只用白帽方法帮你改善。全站中英双语，当前处于内测阶段。

关键事实：
- 当前已接入并真实给分的引擎（8 个）：ChatGPT（OpenAI）、Kimi（月之暗面）、DeepSeek（火山方舟）、Gemini（Google）、豆包（字节跳动）、通义千问（阿里巴巴）、Perplexity、Grok（xAI）；接入中（2 个）：混元·元宝、文心一言。
- 评分方法论全文公开：0–100 可见度分怎么算、引用怎么判、样本不足时如何诚实标注「数据不足」。
- 严格白帽：只查询公开的 AI 答案，不做提示注入、不投喂污染、不编造评价；无需在你的网站安装任何脚本。
- 定价：免费版（1 品牌、5 监测词、每月 3 次体检）· Pro 每月 ¥1,500（英文市场 $199；年付约 8 折）· 更大需求可定制。

## 核心页面

- [免费 AI 可见度体检](https://orca-scope.com/checkup)：免注册，几分钟看到品牌在 AI 答案里的可见度快照
- [GEO 内容诊断](https://orca-scope.com/diagnose)：免费检查任意公开页面对 AI 引擎是否友好
- [评分方法论](https://orca-scope.com/zh/methodology)：完整公开的评分规范
- [行业基准](https://orca-scope.com/zh/benchmarks)：按行业公开的匿名化 AI 可见度基准
- [产品对比](https://orca-scope.com/zh/compare)：只写可核实事实、标注核实日期的产品对比
- [定价](https://orca-scope.com/zh/pricing)：套餐与区域定价
- [嵌入体检 Widget](https://orca-scope.com/zh/embed)：把免费 AI 可见度体检嵌入你的网站

## 资源中心（指南与观察）

- [资源中心](https://orca-scope.com/zh/resources)：GEO 白帽指南、评分口径说明与中西引擎第一手观察（English: https://orca-scope.com/resources）
- [什么是 GEO（生成式引擎优化）？定义、原理与白帽做法](https://orca-scope.com/zh/resources/what-is-geo)：GEO（生成式引擎优化）的定义、学术出处、与 SEO 的关系，以及五件白帽实操——一篇说清。
- [GEO vs AEO vs SEO：三个词到底差在哪](https://orca-scope.com/zh/resources/geo-vs-aeo-vs-seo)：SEO、AEO、GEO 三个词的来路与真差异，以及我们自己的用词立场——为什么不值得在词上打架。
- [中西 AI 引擎第一手观察：同一个问题，两套答案生态](https://orca-scope.com/zh/resources/chinese-vs-western-ai-engines)：每天向中西两侧 AI 引擎发监测问题看到的四个结构性差异：引用源生态、回答形状、波动性与品牌别名。
- [中文 AI 引擎生态图（2026 年中版）](https://orca-scope.com/zh/resources/chinese-ai-engine-landscape)：豆包、Kimi、DeepSeek、元宝、文心……按「用户怎么遇到 AI 答案」分三类的中文引擎速览，以及与西侧生态的三个结构差异。
- [我们如何给 AI 可见度打分：0–100 背后的完整链路](https://orca-scope.com/zh/resources/how-we-score)：从监测问题到 0–100 综合分的六步链路：提及判定、引用解析、小样本降权与版本化——人话版评分说明。
- [GEO 词汇表：30 个双语术语速查](https://orca-scope.com/zh/resources/geo-glossary)：从 GEO/AEO 到提及率、llms.txt、提示注入——30 个 GEO 领域核心术语的中英双语一句话释义。
- [公开建造 OrcaScope：Wave 0–1 实验日志](https://orca-scope.com/zh/resources/building-in-public-log)：我们是自己的第一个客户——把 Wave 0–1 三批真实改造原样记录下来，包括还没做到的部分。

## 给 AI Agent 与开发者

- [开发者](https://orca-scope.com/zh/developers)：REST 开放 API v1 + MCP 端点接入文档
- MCP 端点（Model Context Protocol，Streamable HTTP）：POST https://orca-scope.com/api/mcp，头带 `Authorization: Bearer <API key>`——AI Agent 可经标准 MCP 工具（全只读）直接查品牌可见度分、引用来源、行业基准与引擎清单