AI Visibility Diagnosis Report

王屋山

Keyword: 苹果醋

AI Visibility Score
(0–100)

Discovery Score
Found even when users don't know you?

100

Brand Score
How AI describes you — sentiment-weighted

"王屋山's AI visibility in '苹果醋' is Fair, with a significant gap in '类型' scenarios"

Report Date: 2026-04-07 · Query Scenarios: 4 · Sources: GPT / Claude / Kimi + Tavily

T0 · BASELINE AWARENESS PROBE

AI First Impression of 王屋山

Before designing any query, we asked 4 AIs: "Do you know what 王屋山 is?"
This is the brand's awareness baseline in the AI world — the foundation for all subsequent scenario probes.

4/4

LLMs That Know Brand
T0 Baseline Awareness

High

Overall Awareness Level

T0 Summary:四个LLM对王屋山的整体认知水平为模糊了解。

ChatGPT

EN Known

EN: 王屋山 (Wangwushan) is a mountain located in the Henan province of China, known for its scenic beauty and cultural significance. It is part of the Taihang Mountain range and is a popu...

ZH: 王屋山是中国河南省的一座著名山脉，属于太行山的一部分。它以其丰富的自然景观和文化遗产而闻名，是道教圣地之一，吸引了众多游客和信徒前来朝圣和游览。

Claude

EN Known

EN: 王屋山 (Wángwū Shān) is a mountain located in Henan Province, China, considered one of the sacred Taoist mountains. It is famous in Chinese mythology as the setting for the folk tale ...

ZH: 王屋山是位于中国河南省济源市的一座名山,是中国古代道教名山之一,也是愚公移山故事的发源地。它以秀丽的自然风光和深厚的道教文化底蕴著称,现为国家级风景名胜区和地质公园,主要用于旅游观光和文化传承。

Kimi

Non-EN Known

EN: 王屋山 (Wangwu Mountain) is a famous mountain located in the western part of Jiaozuo City, Henan Province, China. It is one of the "Five Great Mountains" in traditional Chinese cultur...

ZH: 王屋山是中国河南省济源市的一座著名山峰，属于太行山脉。它是道教名山之一，有着丰富的自然景观和历史文化遗迹。王屋山不仅是旅游胜地，也是道教文化和自然生态的保护区。

DeepSeek

Non-EN Known

EN: 王屋山 is a mountain located in Henan Province, China, renowned in Chinese mythology and Daoist tradition. It is famously featured in the legend "The Foolish Old Man Who Removed the M...

ZH: 王屋山是中国河南省济源市的一座名山，属于太行山脉的一部分，以道教文化和自然景观闻名。它是道教“天下第一洞天”的所在地，也是著名的旅游和朝圣地。

EXECUTIVE SUMMARY

Executive Summary

3 Key Findings

In 16 query scenarios, 王屋山 appeared in 50% — above industry average
EN LLMs (GPT/Claude) hit rate 50%, Non-EN LLMs (Kimi/DeepSeek) hit rate 0% — significant cross-language gap detected

2 Urgent Actions

Ongoing: 持续监测竞品内容策略 (定期复查)

CHAPTER 1

Visibility Overview

AI Visibility Score (0–100)

50%

Query Hit Rate
Mentions / Total Queries

#1.0

Avg. Rank
Position when mentioned

100%

Positive Rate

Scenario Coverage

✓ 品牌深度✓ 品牌认知✗ 场景✗ 类型

CHAPTER 2

LLM Performance Breakdown

100%

LLM Consistency
Strong consensus across LLMs

50%

EN LLM Hit Rate
GPT / Claude

Non-EN LLM Hit Rate
Kimi

🔍 Level 1 · Discovery

0% hit (0/2)

✗ Gap

When users don't know 王屋山, does AI proactively recommend it?

Query Scenario	GPT-4o EN	Claude Sonnet EN
类型 What is apple vinegar?	✗	✗

🎯 Level 2 · Scenario

0% hit (0/2)

✗ Gap

When users solve specific problems, does 王屋山 appear?

Query Scenario	GPT-4o EN	Claude Sonnet EN
场景 How can apple vinegar benefit my health?	✗	✗

🏷 Level 3 · Brand Awareness

100% hit (2/2)

⚡ First hit at this level

Users know 王屋山 — does AI?

Query Scenario	GPT-4o EN	Claude Sonnet EN
品牌认知 What is Wangwushan apple vinegar?	✓ #1	✓ #1

🔬 Level 4 · Brand Depth

100% hit (2/2)

How deep is AI's knowledge of 王屋山's technical details and competitors?

Query Scenario	GPT-4o EN	Claude Sonnet EN
品牌深度 What is the brewing process of Wangwusha...	✓ #1	✓ #1

Representative descriptions of 王屋山 by each LLM

GPT-4o EN

"王屋山苹果醋是来自王屋山地区的发酵苹果醋，具有独特风味和健康益处。"

Claude Sonnet EN

"王屋山苹果醋源自中国王屋山地区，以其独特的气候和土壤条件而闻名。"

CHAPTER 3

User Decision Journey

At which stage of the buying journey does AI lose track of you?

💡 Awareness

50%

类型 · 场景 · 品牌认知 · 品牌深度

Sentiment Drift Detection

✓ Sentiment consistent across all stages — no trust gap detected

CHAPTER 4

Content Source Audit

33%

Raw Coverage

33%

Authority-Weighted Coverage
Presence in high-authority sources

Coverage by Source Authority

Source Type	Brand Mentions	Coverage
普通来源	5/15	33%

Backlink Audit (authority of sources that cite you)

Domain	Authority Level	Recognition
au.world.taobao.com	普通来源	✓ Widely Recognized
ca.world.taobao.com	普通来源	✓ Widely Recognized
vn.world.taobao.com	普通来源	✓ Widely Recognized

Top Cited Sources

www.facebook.com	2 citations
au.world.taobao.com	2 citations
tw.my-best.com	1 citations
cj.sina.cn	1 citations
www.instagram.com	1 citations
www.imdb.com	1 citations

ACTION ROADMAP

Action Roadmap

P1 This quarter

持续监测竞品内容策略

当前曝光表现尚可，建议定期监测竞品的 AI 描述变化，及时调整内容策略。

Platform: 定期复查

⚡ Quick Wins — Start immediately

No Quick Wins identified

APPENDIX

Appendix · Raw Query Log

Methodology: 8 standard query types + Autosuggest long-tail expansion, tested on GPT-4o-mini / Claude Sonnet / Kimi, results parsed by GPT-4o-mini

Scenario	Query	Mentioned	Sentiment
类型	What is apple vinegar?...	✗	Not Mentioned
场景	How can apple vinegar benefit my health?...	✗	Not Mentioned
品牌认知	What is Wangwushan apple vinegar?...	✓ #1	Positive
品牌深度	What is the brewing process of Wangwushan apple vinegar?...	✓ #1	Positive

⚓ Anchor AI Visibility System · Recommended monthly re-scan · Generated in —

PROPAGATION ENGINE · METHODOLOGY

Propagation Engine — Methodology

⚙ Sandtown Social Simulation Engine

Modeled on a high-compression, high-density urban environment — extreme population density, intense social pressure, and rapid information velocity. Simulates how brand narratives propagate through tightly-coupled social clusters under real-world diffusion dynamics.

100

Agents

Behavior Clusters

293

Social Edges

LLM Engines

📐 Four-Step Process

Multi-Model AI Probe

Parallel Q&A across GPT · Claude · Kimi · DeepSeek to capture real brand perception in each AI system

Narrative Signal Extraction

Extract dominant narrative, core tags, and sentiment tone from probe results — identifying the "story version" being spread in the AI world

Group Signal Mapping

Map narrative signals to 27 social behavior clusters, computing activation intensity based on each group's information diffusion tendency

Propagation Wave Forecast

Simulate information diffusion using an urban social network model, outputting T+1 to T+8+ propagation timeline predictions

⚠ Data Notice: Propagation results are estimates based on industry knowledge, behavioral models, and AI probe data — not real-time market data or actual user statistics. Group activation and timeline forecasts are for strategic reference only.

STEP 1 · NARRATIVE SNAPSHOT

AI Dominant Narrative

Aggregates responses from 4 LLMs to extract the "story version" of 王屋山 most widely seen in the AI world.

Dominant Impression

“王屋山苹果醋以其独特的风味和健康益处而受到认可，源自王屋山地区的高质量苹果。”

quality innovation trust

Narrative Tone Neutral

Sentiment Positive

Narrative Consistency 90/100

Blind Spots: 缺乏关于品牌的负面反馈未提及品牌的市场竞争情况

Language Variation: 英文描述主要强调风味和健康益处，而中文描述则更注重苹果的质量和酿造工艺。

STEP 2 · AUDIENCE × GROUP ACTIVATION

Audience Resonance × Group Activation

Who does the narrative reach? Which social groups will carry the signal forward? Left: signals received by cross-platform audiences. Right: corresponding group activation intensity.

📡 Top audiences by signal strength Propagation Readiness: Not Propagable

ChatGPT英文用户 Positive

natural and healthy

健康饮品爱好者

ChatGPT中文用户 Neutral

健康饮品

健康饮品爱好者

※ Showing top 3 audiences by signal strength

🔥 Sandtown Group Activation Top 8

事务职中产 33%

服务业精英 32%

城市中产 26%

专业知识层 16%

教育界 16%

学术知识界 16%

公民社会 16%

金融精英 13%

STEP 3 · PROPAGATION TIMELINE

Propagation Timeline Forecast

The signal originates from trigger group 事务职中产 and spreads along social network connections. The following timeline is forecast using the Sandtown social graph.

T+1~2

事务职中产率先感知（数字覆盖 100%，沿社会网络向外扩散）

事务职中产

专业知识层

社区KOL

›

T+3~5

信号经高信任连接扩散至第二圈层

小自营业主

监管机构

老年群体

基层服务劳工

›

T+5~7

三跳扩散，信号开始衰减

非正规就业者

商业精英

科技精英

›

T+8+

末端触达 / 数字覆盖低的群体最后接收

城市中产

服务业精英

公民社会

⚡ Natural Amplifiers

社区KOL科技精英

👁 Watchdog Groups