AI Visibility Diagnosis Report

千问

Keyword: AI

AI Visibility Score
(0–100)

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

Brand Score
How AI describes you — sentiment-weighted

"千问's AI visibility in 'AI' is Fair, with a significant gap in '类型' scenarios"

Report Date: 2026-04-10 · Query Scenarios: 9 · Sources: GPT / Claude / Kimi + Tavily

T0 · BASELINE AWARENESS PROBE

AI First Impression of 千问

Before designing any query, we asked 4 AIs: "Do you know what 千问 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对千问的整体认知水平为有一定认知。

ChatGPT

EN Known

EN: 千问 (Qianwen) is an AI-powered question-and-answer platform developed in China. It allows users to ask questions and receive answers generated by artificial intelligence, leveraging...

ZH: 千问是一个基于人工智能的问答平台，旨在为用户提供快速、准确的信息查询和知识获取服务。用户可以通过提问获得各种领域的答案，帮助解决问题或获取所需的知识。

Claude

EN Known

EN: 千问 (Qwen) is a large language model developed by Alibaba Cloud. It is designed to understand and generate text in multiple languages, answer questions, assist with various tasks li...

ZH: 千问（Qwen）是阿里巴巴集团旗下阿里云开发的大语言模型系列。它能够理解和生成自然语言文本，可以进行对话交流、回答问题、协助写作、代码编程等多种任务，为用户提供智能化的AI助手服务。

Kimi

Non-EN Known

EN: 千问 (Qianwen) is a Chinese question-and-answer platform. It allows users to ask questions and receive answers from a community of experts and knowledgeable individuals. The platform...

ZH: 千问是一个人工智能助手，它通过对话的形式帮助用户解答各种问题。它能够提供信息查询、知识解答等服务，旨在为用户提供便捷、快速的帮助。

DeepSeek

Non-EN Known

EN: 千问 is an AI assistant developed by Alibaba, designed to provide helpful and accurate responses to user inquiries. It functions similarly to other large language models, capable of ...

ZH: 千问是阿里巴巴推出的一个大型语言模型，主要用于理解和生成自然语言，能够进行对话、解答问题、协助创作等多种任务。

EXECUTIVE SUMMARY

Executive Summary

3 Key Findings

In 36 query scenarios, 千问 appeared in 42% — above industry average
EN LLMs (GPT/Claude) hit rate 44%, 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)

42%

Query Hit Rate
Mentions / Total Queries

#—

Avg. Rank
Position when mentioned

100%

Positive Rate

Scenario Coverage

✓ 品牌深度✓ 品牌认知✗ 类型✗ 场景

CHAPTER 2

LLM Performance Breakdown

77%

LLM Consistency
Strong consensus across LLMs

44%

EN LLM Hit Rate
GPT / Claude

Non-EN LLM Hit Rate
Kimi

🔍 Level 1 · Discovery

0% hit (0/4)

✗ Gap

When users don't know 千问, does AI proactively recommend it?

Query Scenario	Claude Sonnet EN	GPT-4o EN
类型 What are the AI platforms available in C...	✗	✗
类型 What are the features of AI question-and...	✗	✗

🎯 Level 2 · Scenario

0% hit (0/4)

✗ Gap

When users solve specific problems, does 千问 appear?

Query Scenario	Claude Sonnet EN	GPT-4o EN
场景 How can I get answers to my questions us...	✗	✗
场景 In what scenarios can I use AI assistant...	✗	✗

🏷 Level 3 · Brand Awareness

66% hit (4/6)

⚡ First hit at this level

Users know 千问 — does AI?

Query Scenario	Claude Sonnet EN	GPT-4o EN
品牌认知 What is Qianwen?	✓	✗
品牌认知 Who developed Qianwen?	✓	✗
品牌认知 What can I use Qianwen for?	✓	✓

🔬 Level 4 · Brand Depth

100% hit (4/4)

How deep is AI's knowledge of 千问's technical details and competitors?

Query Scenario	Claude Sonnet EN	GPT-4o EN
品牌深度 What features does Qianwen offer?	✓	✓
品牌深度 How does Qianwen compare to other AI ass...	✓	✓

Representative descriptions of 千问 by each LLM

Claude Sonnet EN

"千问是阿里巴巴云开发的大型语言模型，属于中国AI发展的一部分。"

GPT-4o EN

"错误地将千问归为百度开发，未提及其真实开发者。"

CHAPTER 3

User Decision Journey

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

💡 Awareness

37%

类型 · 场景 · 品牌认知 · 品牌深度 · 品牌深度 · 品牌认知 · 品牌认知 · 场景

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
社区平台	1/3	33%
普通来源	4/12	33%

Backlink Audit (authority of sources that cite you)

Domain	Authority Level	Recognition
m.youtube.com	社区平台	✓ Widely Recognized
apps.apple.com	普通来源	✓ Widely Recognized

Top Cited Sources

peoplemanagingpeople.com	2 citations
www.lindy.ai	2 citations
apps.apple.com	2 citations
www.youtube.com	1 citations
www.clarifai.com	1 citations
ilampadmanabhan.medium.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 are the AI platforms available in China?...	✗	Not Mentioned
场景	How can I get answers to my questions using AI?...	✗	Not Mentioned
品牌认知	What is Qianwen?...	✗	Not Mentioned
品牌深度	What features does Qianwen offer?...	✓	Positive
品牌深度	How does Qianwen compare to other AI assistants?...	✓	Positive
品牌认知	Who developed Qianwen?...	✗	Negative
品牌认知	What can I use Qianwen for?...	✓	Positive
场景	In what scenarios can I use AI assistants?...	✗	Neutral
类型	What are the features of AI question-and-answer platforms?...	✗	Neutral

⚓ 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 千问 most widely seen in the AI world.

Dominant Impression

“千问被认为是一个中文问答平台，提供快速、准确的信息查询服务，具备多种核心能力。”

quality innovation trust community

Narrative Tone Opportunity

Sentiment Positive

Narrative Consistency 75/100

Blind Spots: 千问的真实开发者信息不明确部分描述存在误解

Language Variation: 英文描述中对千问的认知较为模糊，中文描述则更为积极和具体。

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中文用户 Neutral

中文市场认可

科技爱好者 AI用户

Kimi中文用户 Neutral

行业存在感

科技爱好者 AI用户

DeepSeek中文用户 Positive

技术适用性

科技精英职场人士

※ 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%

社区KOL 25%

青年创业者 25%

年轻人 21%

文化艺术界 20%

科技精英 16%

STEP 3 · PROPAGATION TIMELINE

Propagation Timeline Forecast

The signal originates from trigger group 社区KOL and spreads along social network connections. The following timeline is forecast using the Sandtown social graph.

⚡ Opinion Split Warning:

T+1~2

社区KOL 率先感知（数字覆盖 100%，沿社会网络向外扩散）

社区KOL

事务职中产

小自营业主

老年群体

›

T+3~5

信号经高信任连接扩散至第二圈层

基层服务劳工

专业知识层

›

T+5~7

三跳扩散，信号开始衰减

监管机构

›

T+8+

末端触达 / 数字覆盖低的群体最后接收

青年创业者

文化艺术界

科技精英

⚡ Natural Amplifiers