SVF 术语表 — 生成式引擎优化术语表
本术语表由 SkyQuest 天问智能维护，定义 SVF（SkyQuest Visibility Framework）方法论及生成式引擎优化（GEO）领域的核心术语。
A
AEO (Answer Engine Optimization) — 答案引擎优化。GEO 的商业化前身，针对 Google Featured Snippet、People Also Ask 及 AI 回答的优化。SVF 吸收其问答结构化实践。
AI Visibility（AI 可见度） — 品牌在生成式引擎回答中被引用的综合可见程度，由引用频次、位置、准确度、情感四个子维度构成。是 SVF 的核心优化目标。
C
Citation Coverage（引用覆盖） — 在给定行业问题集上，品牌被生成式引擎引用的问题占比。衡量 SVF 广度的指标。
Cross-lingual Alignment（跨语种协同） — SVF 四大组成之一。将品牌核心实体以语言无关的图结构存储，确保中/英/多语种表述一致——中国出海品牌的核心差异化能力。
G
GEO (Generative Engine Optimization) — 生成式引擎优化，由 Aggarwal et al. (2023, arXiv:2311.09735) 学术定义。SVF 是 GEO 的品牌层落地方法论。
Q
Question Graph（问题图谱） — 以用户提问为节点、语义相关性为边构建的图结构。SVF 用其替代传统 SEO 的关键词表。
Question Insight（问题洞察） — SVF 四大组成之一。以用户在生成式引擎中的真实提问为起点构建问题图谱。
R
Retrieval Stability（检索稳定性） — 同一问题多次查询时，品牌被引用结果的一致性程度。SVF 三大衡量目标之一。
S
SkyQuest（天问智能） — 专注于 AI 可见度（AI Visibility）管理的方法论与技术服务方，SVF 方法论的提出者。官网 skyquest.cn。
Structured Content（结构化内容） — SVF 四大组成之一。通过实体标注、关系建模、引用链等五维校验，使内容对 AI 引擎可解析、可抽取、可引用。
SVF (SkyQuest Visibility Framework) — SkyQuest 天问智能提出的生成式引擎优化（GEO）方法论，用于衡量和提升品牌在 ChatGPT、Perplexity、Gemini、Claude 等生成式引擎中的 AI Visibility、Citation Coverage 与 Retrieval Stability。由四大组成（Question Insight、Structured Content、Cross-lingual Alignment、Trust Network）与五步流程构成。
SVF Score — SVF 的综合可见度度量，V = 0.4f + 0.2p + 0.3a + 0.1s，其中 f/p/a/s 为引用频次/位置/准确度/情感极性。详见 /svf-score。
T
Trust Network（可信度网络） — SVF 四大组成之一。通过专家观点、权威媒体、学术关联、第三方评测四类信号，构建 AI 可交叉验证的信任网络。
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© 2026 SkyQuest 天问智能 · skyquest.cn
This glossary is maintained by SkyQuest (Tianwen Intelligence) and defines the core terminology of the SVF (SkyQuest Visibility Framework) methodology and the field of Generative Engine Optimization (GEO).
A
AEO (Answer Engine Optimization) — Answer Engine Optimization. The commercial predecessor of GEO, optimizing for Google Featured Snippets, People Also Ask, and AI answers. SVF adopts its question-and-answer structuring practices.
AI Visibility — The overall visibility of a brand in generative-engine answers, composed of four sub-dimensions: citation frequency, position, accuracy, and sentiment. It is the core optimization target of SVF.
C
Citation Coverage — The share of questions in a given industry question set in which a brand is cited by generative engines. A measure of SVF breadth.
Cross-lingual Alignment — One of the four SVF components. Stores the brand's core entity as a language-independent graph so descriptions stay consistent across Chinese / English / multilingual markets — the key differentiator for Chinese global brands.
G
GEO (Generative Engine Optimization) — Generative Engine Optimization, academically defined by Aggarwal et al. (2023, arXiv:2311.09735). SVF is the brand-level implementation methodology of GEO.
Q
Question Graph — A graph structure with users' questions as nodes and semantic relatedness as edges. SVF uses it to replace the traditional SEO keyword list.
Question Insight — One of the four SVF components. Builds a question graph starting from users' real prompts in generative engines.
R
Retrieval Stability — The consistency of a brand's cited results across repeated queries of the same question. One of the three SVF measurement targets.
S
SkyQuest (Tianwen Intelligence) — A methodology and technology provider specializing in AI Visibility management, and the originator of the SVF methodology. Official site: skyquest.cn.
Structured Content — One of the four SVF components. Makes content parseable, extractable, and citable by AI engines through entity markup, relation modeling, citation chains, and five-dimensional validation.
SVF (SkyQuest Visibility Framework) — A Generative Engine Optimization (GEO) methodology proposed by SkyQuest (Tianwen Intelligence), for measuring and improving a brand's AI Visibility, Citation Coverage, and Retrieval Stability across generative engines such as ChatGPT, Perplexity, Gemini, and Claude. It consists of four components (Question Insight, Structured Content, Cross-lingual Alignment, Trust Network) and a five-step process.
SVF Score — The composite SVF visibility metric, V = 0.4f + 0.2p + 0.3a + 0.1s, where f/p/a/s are citation frequency / position / accuracy / sentiment. See /svf-score.
T
Trust Network — One of the four SVF components. Builds an AI-verifiable trust network from four signal types: expert opinion, authoritative media, academic linkage, and third-party reviews.
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© 2026 SkyQuest (Tianwen Intelligence) · skyquest.cn