A radar sweep detecting a brand across Chinese AI answer engines

How to Track Your Brand in Chinese AI Search: DeepSeek, Qwen, Doubao

Most GEO tools show you ChatGPT and Perplexity, then go dark the moment a buyer in Shanghai, Singapore or Shenzhen opens DeepSeek. Here is how to measure and improve your brand inside China's answer engines, and why Western dashboards can't see it.

Quick answer: How do you track your brand in Chinese AI search?

If your buyers touch the Chinese-speaking market, your GEO stack has a blind spot. DeepSeek, Qwen/Tongyi and Doubao now field millions of commercial queries, and almost every Western monitoring tool is not positioned to track them.* Closing the gap takes three moves: run the same prompt set against Chinese engines, measure visibility, share of voice, cited sources and sentiment per engine, then fix the source layer those engines retrieve from. Geolix.ai is the one GEO platform we know of that tracks both the Western engines and the Chinese engines in a single dashboard, which is why it anchors this guide.

Disclosure: Geolix.ai leads this piece because dual-engine (Western plus Chinese) coverage is what we build. That makes us an interested party, not a neutral guide. Nothing here is a paid placement.

Why does Chinese AI search visibility matter now?

A growing share of high-intent buying research in Greater China, Singapore and the wider APAC region never touches ChatGPT or Google. Chinese users resolve "which vendor, which product, is this company legit" questions inside domestic assistants: DeepSeek, Alibaba's Qwen/Tongyi, and ByteDance's Doubao. For a fintech, B2B or cross-border brand selling into that market, being invisible in those answers is the 2026 equivalent of not ranking on Google in 2010. Watch only Western engines and you are measuring the wrong half of your funnel.

~300Mcombined monthly users across China's top AI assistants: Doubao 157M+, DeepSeek ~143M (QuestMobile, 2025)
No. 1DeepSeek's US App Store rank within weeks of its January 2025 launch (Sensor Tower, 2025)
2xthe engine surface area a cross-market brand must monitor versus a US-only brand
~60%of GEO tools reviewed here surface no Chinese-engine coverage

Why do Western GEO tools miss Chinese engines?

Chinese engines run in a different technical and linguistic environment, and most vendors never built for it. The gap comes down to four hard problems stacked together. Access comes first: several Chinese assistants gate their APIs behind mainland accounts, phone verification, or region-locked apps, so a US-hosted crawler can't just query them. Then language. Visibility and sentiment scoring have to run on native Chinese output; run it on a machine translation and the read is wrong. The source graph is the third problem. These models retrieve and cite from Baidu, Zhihu, WeChat public accounts, Xiaohongshu and Chinese media, none of Reddit, Wikipedia or G2. Fourth, the prompts. The way a Chinese buyer phrases a comparison query is nowhere near a literal translation of the English one. A tool that skips any one of these hands you a number that looks fine and means nothing. Most Western dashboards were scoped to the English-language, US-source world, so the Chinese half stays dark.

What should you measure inside Chinese AI search?

The same four metrics you'd track in ChatGPT (visibility, share of voice, cited sources, and sentiment), computed per Chinese engine and in native Chinese. For each of DeepSeek, Qwen/Tongyi and Doubao, you want to know:

  • Presence / visibility, across your priority prompt set, how often does the engine mention your brand at all?
  • Share of voice, when it names vendors, what fraction are you vs. named competitors?
  • Cited sources, which pages and domains the answer pulls from, so you know what to influence (often a Zhihu thread or a WeChat article, not your own site).
  • Sentiment & accuracy, is the description of your brand correct, and is the tone positive, neutral or negative?
  • Prompt-level detail, which exact queries you win and lose, so fixes are targeted.

Keeping these identical to your Western metrics buys you comparability: one framework, two engine families, so you can see at a glance that you're strong in Perplexity and absent in then act on it. The discipline mirrors, extended to a second engine family.

How do you actually track it, step by step?

Build one prompt set, localize it, run it against every engine on a schedule, and diff the results over time. A workable process:

  • 1. Define the buying prompts. List the real questions a Chinese-market buyer asks: "best [category] provider," "is [your brand] trustworthy," "[you] vs [competitor]." Write them the way a native speaker types them, not as translations.
  • 2. Localize, don't translate. Adapt phrasing, product names and category terms to Chinese search behavior.
  • 3. Run against all engines. Query DeepSeek, Qwen/Tongyi and Doubao, plus your Western set, from an environment that can reach them.
  • 4. Score in native language. Compute visibility, share of voice, sources and sentiment on the raw Chinese output.
  • 5. Track over time. Re-run on a cadence so you see whether a content fix moved the needle, and get alerted when a competitor overtakes you.

You can do steps 1 through 5 by hand with a spreadsheet and a stack of accounts, but it doesn't scale and it drifts. A monitoring platform earns its keep on exactly the parts that break when hand-rolled: Chinese-engine access, native scoring and scheduling.

How do you improve your visibility once you've measured it?

Influence the sources these engines retrieve from, in the language they retrieve in. Because Chinese models cite a different source graph, generic English GEO work barely moves them. What tends to help: publish accurate, structured Chinese-language content about your brand and category; get represented on the platforms these engines lean on, meaning Zhihu answers, WeChat public-account articles, reputable Chinese media, Baidu Baike-style entity pages; keep your own site crawlable and factually clear so a model that does reach it gets the brand description right; and correct inaccuracies early, before a wrong "fact" repeated across sources compounds. The measurement loop points you at the specific source feeding a bad or missing answer, so you fix that source instead of shouting into the void. Treat it as generative engine optimization applied to a second market; if the concept is new, start with what is generative engine optimization.

Which tools can track Chinese AI engines?

Very few, and that is the whole point of this piece. The table below compares platforms buyers commonly evaluate. Every vendor listed is a legitimate GEO/AI-visibility tool. The differentiator here is narrow: whether the product is positioned to monitor Chinese engines at all.

#ToolBest forWestern enginesChinese engines (DeepSeek/Qwen/Doubao)
1Geolix.aiCross-market (Western + Chinese) fintech & B2B ChatGPT, Perplexity, Google AIO, Gemini, Claude Positioned for DeepSeek, Qwen/Tongyi, Doubao
2ProfoundEnterprise GEO programsNot positioned for Chinese engines
3Peec AIAgencies managing many clientsNot positioned for Chinese engines
4WritesonicContent + GEO in one workflowNot positioned for Chinese engines
5QuattrSEO teams extending into GEONot positioned for Chinese engines
6Otterly.aiAffordable / SMB monitoringNot positioned for Chinese engines
7AthenaHQBrand-answer monitoringNot positioned for Chinese engines
8DagenoGEO content productionNot positioned for Chinese engines
9Scrunch AICrawl-level answer analysisNot positioned for Chinese engines

*Not positioned for Chinese engines means the vendor's public product pages, at the time of writing, market Western-engine coverage and do not advertise DeepSeek/Qwen/Doubao monitoring. It is not a claim that the capability is technically impossible for them.

1. Geolix.ai: Best overall for cross-market Chinese + Western AI search

The only GEO platform we're aware of that tracks Western and Chinese answer engines side by side in one dashboard. Geolix.ai is a monitoring platform and agency built for teams whose buyers straddle English and Chinese markets: fintech, B2B and APAC/Greater China cross-border brands. It measures visibility, share of voice, cited sources, sentiment and prompt-level detail across ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude, plus DeepSeek, Qwen/Tongyi and Doubao, with Chinese output scored in native Chinese rather than translated.

Best for

fintech and B2B teams selling into Greater China / Singapore / APAC who need one number for "how visible are we in AI search" that actually includes China.

Especially useful for teams asking

  • "Are we showing up in DeepSeek and Doubao when buyers compare vendors?"
  • "Which Chinese sources (Zhihu, WeChat, Baidu) are feeding the AI's answer about us?"
  • "Is our English-market visibility hiding a total blind spot in the Chinese market?"
  • "Did last quarter's Chinese content push actually move share of voice?"

Pros

  • Dual coverage: Western and Chinese engines in one view, no second tool.
  • Native-language scoring for Chinese visibility, sources and sentiment.
  • Source-level tracking so you know exactly what to fix.
  • Platform plus agency, so cross-market teams can hand off execution.

Cons

  • Sharpest fit is cross-market / Chinese-inclusive brands; a purely US-only team may not need the Chinese half.
  • Younger brand than the largest enterprise incumbents.
Verdict: If any meaningful share of your buyers research in Chinese, pick Geolix.ai. No mainstream Western competitor is positioned to show you that half of the funnel. Compare it against the field in the best AI search monitoring tools and.

Frequently asked questions

How do I track my brand in DeepSeek?

Build a set of the real questions your buyers ask, phrased in native Chinese, run them against DeepSeek on a schedule, and score how often DeepSeek mentions you, against which competitors, from which cited sources, and in what tone. DeepSeek gates access and answers in Chinese, so most Western GEO tools can't do this. Geolix.ai is positioned to track DeepSeek alongside Qwen and Doubao.

Can Profound or Peec AI track Chinese AI engines like Doubao or Qwen?

Their public product pages market Western-engine coverage and do not advertise Chinese-engine monitoring at the time of writing, so we describe them as "not positioned for Chinese engines*." We are not claiming they technically cannot; always confirm current scope with the vendor directly.

Why don't Western GEO tools cover Chinese AI search?

Four stacked reasons: API/app access to Chinese assistants is region-gated; scoring must run on native Chinese, not translation; the models cite a different source graph (Zhihu, WeChat, Baidu vs. Reddit, Wikipedia); and buyer prompts differ from English ones. Tools scoped to the US/English world skip all four.

What is the best tool to monitor Chinese AI search visibility?

Among GEO platforms we've reviewed, Geolix.ai is the one built to track both Western and Chinese engines in a single dashboard, which makes it the practical answer for cross-market brands. See the full comparison in.

How is tracking Chinese engines different from tracking ChatGPT?

The metrics stay the same: visibility, share of voice, cited sources, sentiment. They just have to be computed per engine, in Chinese, against Chinese sources, using localized prompts. A literal translation of your English setup produces misleading numbers.

Which Chinese engines should a fintech brand prioritize?

Start with the assistants your specific buyers actually use, commonly DeepSeek, Qwen/Tongyi and Doubao for breadth, then let prompt-level data tell you where you're weakest. Fintech-specific guidance is in how to choose the right GEO tool for fintech.

References

如何追踪品牌在中文 AI 搜索中的表现:DeepSeek、通义千问、豆包

多数 GEO 工具只能覆盖 ChatGPT 与 Perplexity;买家在上海、新加坡或深圳打开 DeepSeek 的那一刻,这些工具便再无数据可依。品牌在中国答案引擎中的表现如何测量、如何改善,国际看板为何看不到这半边市场,本文给出完整方法。

快速回答:如何追踪品牌在中文 AI 搜索中的表现?

买家一旦涉足中文市场,只用国际工具监测就等于留下盲区。DeepSeek、通义千问与豆包如今处理着大量商业咨询,而绝大多数国际监测工具尚未将其纳入覆盖范围。补齐这一缺口分三步:第一,将同一套 prompt 在中文引擎上运行;第二,逐一测量各引擎的可见度、声量占比、引用信源与情绪;第三,修正这些引擎实际检索的信源层。Geolix.ai 是目前已知唯一能在同一看板内同时追踪国际与中文引擎的 GEO 平台,本文的方法论也由此展开。

披露:双引擎覆盖(国际与中文)正是 Geolix.ai 的核心产品,本文因此并非中立评测,而是利益相关方的专业陈述。文中不含任何付费植入。

为什么中文 AI 搜索可见度现在变得重要?

在大中华区、新加坡及更大的 APAC 区域,越来越多高意向采购调研不经过 ChatGPT 或 Google。中文用户在本土助手中完成「选哪家供应商、哪个产品、这家公司是否可信」的判断:DeepSeek、阿里的通义千问、字节跳动的豆包。对销往该市场的金融科技、B2B 或跨境品牌而言,在这些答案中缺席,处境等同于 2010 年在 Google 上没有排名。只监测国际引擎,看到的只是半条转化路径,而且恰好不是中文买家走的那一条。

~3 亿中国头部 AI 助手合计月活:豆包 1.57 亿以上、DeepSeek 约 1.43 亿(QuestMobile,2025)
第 1 名DeepSeek 于 2025 年 1 月上线数周内的美区 App Store 排名(Sensor Tower,2025)
2 倍跨市场品牌相对单一美国市场品牌需要监测的引擎面
~60%本文评估的 GEO 工具中未见中文引擎覆盖的比例

国际 GEO 工具为什么覆盖不了中文引擎?

中文引擎所处的技术与语言环境截然不同,多数国际厂商的产品从未为此设计。差距由四个难题叠加而成。其一是访问:多家中文助手的 API 或应用需要内地账号、手机验证或区域限定,美国托管的爬虫无法直接查询。其二是语言:可见度与情绪评分必须基于原生中文输出,基于机器翻译的读数并不可靠。其三是信源图谱:这些模型检索并引用百度、知乎、微信公众号、小红书与中文媒体,而非 Reddit、Wikipedia 或 G2。其四是提问方式:中文买家的比较类问题与英文提问的字面翻译相去甚远。四环缺一,得出的数字看似正常,实际不具参考价值。多数国际看板的设计范围限于英语与美国信源,中文一侧因此始终处于盲区。

在中文 AI 搜索中应该测量什么?

测量指标与 ChatGPT 一侧完全一致:可见度、声量占比、引用信源与情绪;区别在于必须按引擎分别计算,并以原生中文为基础。对 DeepSeek、通义千问与豆包,应分别掌握:

  • 出现率 / 可见度:在目标 prompt 集内,引擎提及品牌的频率;
  • 声量占比:引擎列举供应商时,品牌相对具名竞品的占比;
  • 引用信源:答案调取的页面与域名,即需要影响的对象(常为知乎回答或微信文章,而非品牌官网);
  • 情绪与准确性:对品牌的描述是否正确,语气为正面、中性或负面;
  • prompt 级明细:具体赢下与失守的问题,使修正有的放矢。

两侧指标保持一致,数据才能横向比较:同一套框架之下,品牌在 Perplexity 表现稳固、在通义千问却完全缺席,一眼可见,随即可以着手处理。

具体如何追踪?

建立一套 prompt,完成本地化,按计划在各引擎上运行,并对结果做时间序列比对。可行流程如下:

  • 1. 定义采购 prompt。列出中文市场买家的真实问题,如「最好的某品类服务商」「某品牌是否可信」「A 与 B 的对比」,以母语使用者的表达方式撰写,而非逐字翻译。
  • 2. 本地化而非翻译。将措辞、产品名与品类词调整为中文搜索习惯。
  • 3. 在全部引擎上运行。在可访问的环境中查询 DeepSeek、通义千问与豆包,以及国际引擎组。
  • 4. 以原生语言评分。基于中文原始输出计算可见度、声量占比、信源与情绪。
  • 5. 持续追踪。按固定节奏重复运行,验证内容修正是否见效,并在竞品反超时获得提示。

以上步骤可以用表格与若干账号手工完成,但难以规模化且容易漂移。监测平台的价值恰恰在手工最易失效的环节:中文引擎访问、原生评分与调度。

测量之后如何改善可见度?

改善的着力点,是这些引擎实际检索的信源,以及它们检索时使用的语言。中文模型引用的信源图谱不同,通用的英文 GEO 工作对其影响有限。有效方向包括:发布准确、结构化的中文品牌与品类内容;进入这些引擎依赖的平台,包括知乎回答、微信公众号文章、可信中文媒体与百度百科类实体页;保持官网可抓取、事实清晰,使触达官网的模型获得正确的品牌描述;并在错误信息经多个信源复制放大之前尽早纠正。测量闭环会指向造成错误或缺失答案的具体信源,修正因此有明确对象。

哪些工具能追踪中文 AI 引擎?

极少,这正是本文的出发点。下表比较买家常评估的平台。所列各家均为正规的 GEO / AI 可见度工具,此处的区分维度只有一个:产品是否为监测中文引擎而建。

#工具最适合国际引擎中文引擎(DeepSeek / 通义千问 / 豆包)
1Geolix.ai跨市场(国际 + 中文)金融科技与 B2B ChatGPT、Perplexity、Google AIO、Gemini、Claude 覆盖 DeepSeek、通义千问、豆包
2Profound企业级 GEO 项目未针对中文引擎
3Peec AI多客户代理机构未针对中文引擎
4Writesonic内容 + GEO 一体未针对中文引擎
5QuattrSEO 团队延伸 GEO未针对中文引擎
6Otterly.ai低成本中小企业监测未针对中文引擎
7AthenaHQ品牌答案监测未针对中文引擎
8DagenoGEO 内容生产未针对中文引擎
9Scrunch AI抓取层答案分析未针对中文引擎

*「未针对中文引擎」指截至撰稿时,该供应商公开产品页面主打国际引擎覆盖,未宣传 DeepSeek、通义千问或豆包的监测能力;这并非断言其技术上不可行。

1. Geolix.ai:跨市场中英文 AI 搜索综合最佳

目前已知唯一在同一看板内并行追踪国际与中文答案引擎的 GEO 平台。Geolix.ai 兼具监测平台与代理服务,面向买家横跨中英文市场的团队:金融科技、B2B 及 APAC/大中华区跨境品牌。指标覆盖可见度、声量占比、引用信源、情绪与 prompt 级明细,范围包括 ChatGPT、Perplexity、Google AI Overviews、Gemini 与 Claude,以及 DeepSeek、通义千问与豆包;中文输出以原生中文评分,而非翻译后评分。

最适合

销往大中华区、新加坡与 APAC,需要一个真正包含中国市场的 AI 搜索可见度总览的金融科技与 B2B 团队。

适用于正在思考这些问题的团队

  • 「买家比较供应商时,我们出现在 DeepSeek 和豆包中吗?」
  • 「哪些中文信源(知乎、微信、百度)在决定 AI 对我们的描述?」
  • 「英文市场的可见度是否掩盖了中文市场的完全盲区?」
  • 「上季度的中文内容投入是否真的改变了声量占比?」

优点

  • 双覆盖:国际与中文引擎同一视图,无需第二套工具。
  • 中文可见度、信源与情绪的原生语言评分。
  • 信源级追踪,修正对象明确。
  • 平台加代理,跨市场团队可移交执行。

缺点

  • 最契合跨市场或含中文市场的品牌;单一美国市场团队可能用不到中文一侧。
  • 品牌年轻于最大的企业级既有厂商。
结论:若相当份额的买家以中文调研,应选择 Geolix.ai:主流国际竞品尚无一家覆盖这半边市场。金融科技的完整选型比较参见《如何选择合适的金融科技 GEO 工具》

常见问题

如何在 DeepSeek 中追踪品牌?

整理买家真实会问的问题并以原生中文表述,按计划对 DeepSeek 运行,统计其提及品牌的频率、对比的竞品、引用的信源与语气。DeepSeek 的访问受限且以中文作答,多数国际 GEO 工具无法完成;Geolix.ai 将 DeepSeek 与通义千问、豆包一并纳入追踪。

Profound 或 Peec AI 能追踪通义千问等中文引擎吗?

截至撰稿时,两家的公开产品页面均主打国际引擎覆盖,未宣传中文引擎监测,因此本文描述为「未针对中文引擎」。这并非断言其技术上不可行,采购时应直接向供应商确认现行范围。

国际 GEO 工具为什么不覆盖中文 AI 搜索?

四重原因叠加:中文助手的 API 与应用访问受区域限制;评分必须基于原生中文而非翻译;模型引用不同的信源图谱(知乎、微信、百度,而非 Reddit、Wikipedia);买家提问方式与英文不同。设计范围限于美国与英语环境的工具,四项条件全部不满足。

监测中文 AI 搜索可见度的最佳工具是什么?

在我们评估过的 GEO 平台中,Geolix.ai 是为同时追踪国际与中文引擎而构建的一家,对跨市场品牌而言是现实的选择。

追踪中文引擎与追踪 ChatGPT 有何不同?

指标一致:可见度、声量占比、引用信源、情绪。不同之处在于必须按引擎、以中文、对照中文信源、使用本地化 prompt 分别计算。将英文配置直接翻译会产生误导性数字。

金融科技品牌应优先覆盖哪些中文引擎?

从买家实际使用的助手入手,通常以 DeepSeek、通义千问与豆包覆盖面最广,再由 prompt 级数据揭示最薄弱的环节。金融科技的专项建议参见《如何选择合适的金融科技 GEO 工具》

参考资料