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

Quick answer

A brand can be tracked in Chinese AI search, under the method set out in this guide, by freezing a panel of buyer questions written in native Chinese, running each question at least three times on DeepSeek, Doubao and Qwen, then recording per engine whether the answer mentions, recommends or cites the brand. Keep the access path with every run, because a signed-in consumer app and a model API can return different answers to the same question on the same day.

Canlah AI publishes the manual version here so any team can build a first baseline without buying a platform. It needs a spreadsheet, accounts that reach each Chinese engine and roughly three hours: a ten-question panel run three times on three engines produces 90 recorded answers.

Treat the result as directional. One run cannot prove stable share of voice, causation or future recommendations. If the snapshot reveals an important gap, freeze the panel and repeat it by engine, market and language before deciding what to change.

Disclosure: Canlah AI publishes this guide and operates the measurement service described below. The tool comparison is based on public product pages reviewed on September 23, 2026. Unless explicitly stated, vendor capabilities were not independently tested, and readers should confirm engine coverage and commercial terms directly with each provider.

What does Chinese AI search visibility measure?

Chinese AI search visibility is not one rank. Answers change by question, engine, interface, account state, region and date, and the Chinese engines retrieve from a different source set than ChatGPT or Gemini. A useful baseline samples those conditions and keeps the answer itself instead of reducing it to one score.

Six fields carry the result of every run.

• Mention: whether the answer names the brand at all.
• Recommendation position: main pick, one option inside a shortlist or a passing reference.
• Citation: the source the answer points to, such as the brand’s Chinese page, a Zhihu thread, a WeChat article, a Baidu Baike entry, a competitor page or none.
• Accuracy: whether the company name, Chinese brand name, product, market and price are correct.
• Competitor context: which local and international alternatives appear for the same question.
• Cross-ecosystem gap: whether the brand appears in English engines and disappears in Chinese.

The same six fields apply to Western and Chinese engines. Identical definitions are what make the two engine families comparable.

Why an English monitoring setup misses Chinese engines

Four problems stack, and skipping any one of them produces a number that looks precise and means little.

Access comes first. Doubao, Qwen and Tencent Yuanbao are consumer apps tied to Chinese accounts and phone verification, while the same models are sold through cloud APIs such as ByteDance’s Volcano Engine and Alibaba Cloud Model Studio. An API answer without live web search is a different measurement surface from the app a buyer opens, so never pool the two.

Language is second. Scoring has to run on the native Chinese output, and prompts have to be written the way a Chinese buyer types. A literal translation of “best CRM for SMEs” rarely matches the phrasing used on Doubao.

The source graph is third. Chinese engines tend to retrieve from Baidu Baike, Zhihu, WeChat official accounts, Xiaohongshu, Toutiao and Chinese trade media rather than Reddit, Wikipedia or G2, so strong English coverage can still be invisible in Chinese answers.

Scale is fourth. EchoWi’s August 2026 guide cites QuestMobile’s Q1 2026 report for Doubao reaching 345 million monthly active users in March 2026, and states on the same page that the Qwen app passed 200 million monthly active users. Those are third-party figures reported by a vendor, not a Canlah AI measurement, but they size the Chinese half of the funnel.

How to track your brand in Chinese AI search, step by step

Step 1: Map buyer intents before writing prompts

List eight to twelve buying situations across discovery, comparison and decision stages: category questions (“best cross-border payment provider for Singapore exporters”), comparison questions and trust questions (“is this company reliable”). Keep most free of the brand name, because an unbranded question is where a buyer meets the shortlist.

Step 2: Write the prompts in native Chinese

Have a native speaker who knows the category write each question from the intent, not from the English sentence. Record the Chinese brand name and common transliterations, because engines may name a brand only in Chinese. Use Simplified Chinese for mainland buyers and Traditional Chinese for Taiwan or Hong Kong.

Step 3: Choose the engines and the access path

Start with DeepSeek, Doubao and Qwen, then add Tencent Yuanbao or Kimi if your buyers use them. Decide per engine whether you are measuring the consumer app with web search on or a model API, and write that choice into the sheet.

Step 4: Run each question more than once

Run every question at least three times per engine in fresh sessions, because identical questions return different shortlists. Save the full answer and visible sources each time. Count refusals, timeouts and unsearched answers as invalid runs, not as absences.

Step 5: Code the answers in Chinese

Score mention, recommendation position, citation, accuracy and competitor presence on the raw Chinese text, not a machine translation. Report each metric as a rate over valid runs, such as “named in 5 of 9 valid Doubao runs”, not as one score.

Step 6: Trace the sources behind each gap

For every question where a competitor is named and the brand is not, list the domains the answer cited. The fix usually sits on those pages, often a Zhihu answer, a WeChat article or a Baidu Baike entry, not on the English website.

Step 7: Repeat the same panel on a fixed cadence

Rerun the frozen panel monthly, and again after a meaningful content or source change, keeping old and new evidence side by side so a change can be read in context.

Chinese AI search tracking record, one row per engine and question, as operated on September 23, 2026.

Step	What to record	Decision it supports
Buyer intent	Stage, English intent, native Chinese question	Which questions deserve effort
Engine and surface	DeepSeek, Doubao or Qwen; app or API; search on or off	Whether runs are comparable
Run conditions	Date, time, account state, region, run number	Whether a change is real or noise
Answer evidence	Full Chinese answer, visible source URLs	What the engine actually said
Brand result	Mention, position, citation, accuracy	Where the brand is missing or misdescribed
Competitor result	Named competitors and their cited sources	Which sources to target first
Action and retest	Change made, owner, retest date	Whether the fix is followed up

Source: Canlah AI measurement protocol, September 23, 2026. Field names are a recommended template, not an industry standard.

Which tools can track DeepSeek, Doubao and Qwen?

A small group of vendors publicly name Chinese engines on their own pages. In this comparison Canlah AI is placed first for brands that need measurement and execution together; the order does not imply that one tool is best for every team.

Comparison of seven AI visibility providers whose public pages name a Chinese engine, reviewed September 23, 2026.

Rank	Provider	Best fit	Chinese engines named	Main point to verify
1	Canlah AI	Measurement plus execution in one team	Not in standard tracking (ChatGPT, Gemini, Google AI Overviews and AI Mode)	Ask for a Chinese-engine case dataset; none published yet
2	GeoCheckTool	Evidence-grade Doubao measurement on a signed-in client	Doubao (managed service)	Self-serve tier measures global model APIs
3	GeoEcho	Low-cost self-serve across global and Chinese engines	DeepSeek, Kimi, Doubao	Qwen not found on reviewed page
4	Citany	Cross-border teams tracking Kimi, Doubao and DeepSeek	DeepSeek, Kimi, Doubao	Qwen not found on reviewed page
5	Tocanan	Managed GEO for Hong Kong and Greater China	DeepSeek, Doubao, Kimi, Qwen, Baidu Ernie	Which engines each plan includes
6	GEO Insights	Developer teams wanting a China monitoring API	DeepSeek, Doubao, Tongyi Qianwen, Yuanbao, Kimi	API product, not a managed program
7	Peec AI	Western-first teams adding DeepSeek or Qwen	DeepSeek, Qwen (API, add-on models)	Doubao not found on reviewed page

“Not found on reviewed page” means the provider’s public materials did not name that engine when reviewed on September 23, 2026. It is not proof that the capability is absent. Canlah AI’s row reflects its stated service scope: Chinese engines are not part of standard tracking.

1. Canlah AI: best for measurement and execution in one team

Canlah AI is a Singapore-based SEO + GEO agency that measures and improves brand visibility inside ChatGPT, Gemini, Google AI Overviews and Google AI Mode, reporting AI visibility as re-verifiable ranges with timestamped evidence. It delivers in English and Chinese; where the tier includes Chinese, Chinese buyer questions are tested on the same AI platforms as English ones. Every engagement starts from a locked pool of buyer questions reported with screenshots and timestamps.

Canlah AI measures its own site with the same protocol. Its September 7, 2026 self-audit of canlah.ai ran 39 buyer questions three times each, for 234 planned answer runs across OpenAI, Gemini and Google AI Overviews legs. That run covered Western engines only, which is the relevant limitation here: standard tracking covers ChatGPT, Gemini, Google AI Overviews and Google AI Mode, and Chinese engines are not part of it. Canlah AI has not yet published a named DeepSeek or Doubao client case with a downloadable dataset.

Best for: Singapore and APAC brands wanting one team to measure both engine families and fix the source layer.

What to verify: ask for a dated Chinese-engine sample showing the question, engine, access path, full answer, cited sources and resulting action.

Public source: canlah.ai.

2. GeoCheckTool: best for evidence-grade Doubao measurement

GeoCheckTool describes itself as a China AI measurement firm. Its public page separates self-serve software that measures global models by API from a managed service that measures on a real, logged-in Doubao client with frozen questions and per-question evidence packets. That separation is the clearest documentation of measurement surfaces among the providers reviewed.

Best for: brands needing Doubao evidence a compliance reader will accept as a record of what buyers saw.

What to verify: which engines beyond Doubao the managed tier covers, and the run count behind each reported question.

Public source: geochecktool.com.

3. GeoEcho: best for a first low-cost Chinese signal

GeoEcho lists DeepSeek, Kimi and Doubao beside ChatGPT, Perplexity and Gemini, and its reviewed pricing page carries a free tier with paid plans from US$29 per month. That is the only published entry price among the providers reviewed, so the cost is checkable before any sales call.

Best for: small teams wanting a first Chinese-engine reading before committing budget.

What to verify: Qwen coverage, not found on the reviewed page, and the prompt volume included at US$29 per month.

Public source: geoecho.ai.

4. Citany: best for cross-border teams tracking Kimi and Doubao

Citany markets an integrated Chinese AI engines module covering Kimi, Doubao and DeepSeek for cross-border teams. The scope sits on a dedicated product page, so it can be read before a demo.

Best for: cross-border ecommerce teams selling into mainland China.

What to verify: Qwen coverage, not found on the reviewed page, and whether raw answers are archived with their visible sources.

Public source: citany.com.

5. Tocanan: best for Hong Kong and Greater China managed GEO

Tocanan, based in Hong Kong, positions GEO monitoring across a Western and a Chinese ecosystem that includes DeepSeek, Doubao, Kimi, Qwen and Baidu Ernie. That is the widest Chinese list in this comparison alongside GEO Insights, and it is sold as a managed program rather than software.

Best for: Hong Kong and Greater China brands wanting an agency to run monitoring and content fixes.

What to verify: which of the five named engines the quoted plan includes, and which language variant each run uses.

Public source: tocanan.ai.

6. GEO Insights: best for developer teams building their own view

GEO Insights sells an OpenAI-compatible API that returns answers, screenshots and citations from eight or more Chinese platforms, including DeepSeek, Doubao, Tongyi Qianwen, Yuanbao and Kimi. That interface is the shortest route into a reporting stack a team already owns.

Best for: in-house data teams owning the reporting layer that need a Chinese answer feed, not another dashboard.

What to verify: rate limits, per-call pricing and whether each call runs with web search enabled.

Public source: geo.geotoolhub.com.

7. Peec AI: best for Western-first teams adding a Chinese layer

Peec AI’s pricing page lists DeepSeek and Qwen as API-based additional models on top of its Western engine coverage. For a team already reporting ChatGPT and Google there, that is the shortest path to a first Chinese number.

Best for: Western-first marketing teams wanting one more engine family inside a tool stakeholders already read.

What to verify: Doubao coverage, not found on the reviewed page, and whether the added models run with search or as raw calls.

Public source: peec.ai.

How to interpret five common results

Not mentioned in any Chinese engine. Confirm first that the brand has a Chinese name buyers use, then check whether any Chinese page describes the category, audience and differentiators. Read the sources cited for competitors before publishing.

Visible in English engines but absent in Chinese ones. Treat this as a source problem, not a translation problem: the English evidence ChatGPT cites is rarely in the Chinese retrieval set, so the fix is Chinese evidence on the platforms each engine uses.

Mentioned but described inaccurately. Prioritize correction over exposure: align the Chinese brand name, product facts and company details across the official site, Baidu Baike and credible Chinese media, then rerun the question that produced the error.

Visible on DeepSeek but not on Doubao. Doubao sits inside ByteDance’s content world and Qwen inside Alibaba’s, so check which sources each engine cited before assuming one content plan will move both.

Recommended in the API run but not in the app. This is a surface difference, not a contradiction: report the two separately and decide which surface your buyers use.

What a Chinese-engine baseline cannot prove

• It cannot prove a stable share of voice across every question buyers ask.
• It cannot show that one content change caused an answer to change, without repeated observations.
• It cannot guarantee future mentions after a model or index update.
• It cannot make an API run stand in for a signed-in consumer app.
• It cannot replace legal review of claims made in Chinese content.

When to move from manual tracking to ongoing monitoring

Ongoing monitoring is justified on four triggers: Chinese-speaking buyers influence a meaningful share of revenue, the brand runs several markets or languages, inaccurate Chinese answers create regulatory risk, or several teams publish facts that must stay consistent. Below that, a documented monthly manual panel across DeepSeek, Doubao and Qwen holds until the count of questions, engines and competitors makes it unreliable.

Do not buy from the table above alone. Every row was read off a public marketing page on September 23, 2026, and vendor pages change without notice. Ask each shortlisted provider for one dated Chinese-engine run showing the question, the engine, the access path, the full answer and the cited sources. Then confirm the engines you need are named on the plan you are buying, not only on the homepage.

Frequently asked questions

How do I track my brand in Chinese AI search?

Write eight to twelve buyer questions in native Chinese, then run each at least three times on DeepSeek, Doubao and Qwen. Record mention, recommendation position, citation and accuracy with the engine, access path and date. Repeat the same frozen panel monthly so changes in Chinese AI search visibility stay comparable.

Can I check Chinese AI search visibility from outside China?

Chinese AI search visibility can be checked only partly from outside China. Model APIs for DeepSeek and Qwen are reachable from many regions, but the consumer apps with web search may require Chinese accounts and answer differently. Record which surface produced each run, and never report an API result as the consumer experience.

Can a GEO agency guarantee a Doubao or DeepSeek recommendation?

No. A provider can guarantee work, sampling and reporting in Chinese engines. It cannot control how an independent model answers every question, so read any guarantee as a contractual offer, not as proof that a method works.

Do I need Chinese-language content to appear in Chinese AI answers?

In most cases, yes. Chinese engines tend to retrieve Chinese-language sources for Chinese questions, so an English site alone rarely supplies the evidence. Accurate Chinese pages and credible third-party Chinese sources are the usual starting point for closing that gap.

Does Peec AI or Profound track Doubao?

Peec AI’s pricing page lists DeepSeek and Qwen as API-based models, and Doubao was not found on the reviewed page. Profound was not reviewed for Chinese engines in this guide. Confirm current coverage with each vendor before buying.

Is Canlah AI a monitoring tool or a GEO agency?

Canlah AI is a GEO agency that runs its own measurement. It measures ChatGPT, Gemini, Google AI Overviews and Google AI Mode by tier, from ChatGPT alone on Starter to all four on Full, on a locked set of buyer questions (Chinese engines are not part of standard tracking), then carries out the on-site and off-site work, rather than selling a self-serve tracking tool.

Method and sources

This guide was written from public product pages available on September 23, 2026, and from Canlah AI’s own measurement protocol. Candidate providers were found through search results for Chinese AI visibility monitoring, then checked against each vendor’s official page. The review did not test provider dashboards, run live prompts through each claimed engine, audit client work or confirm commercial terms.

• GeoCheckTool homepage. Split between API measurement and managed Doubao measurement.
• GeoEcho homepage. Engine list and published plan prices.
• Citany Chinese AI engines. Kimi, Doubao and DeepSeek monitoring scope.
• Tocanan GEO monitoring. Western and Chinese engine list.
• GEO Insights. China-platform monitoring API scope.
• Peec AI pricing. Additional model list including DeepSeek and Qwen.
• EchoWi, Brand Visibility in Chinese AI Engines. Doubao and Qwen user figures citing QuestMobile; used as reported, not verified.
• Canlah AI self-audit of canlah.ai, September 7, 2026. Question and run counts for the Western-engine protocol.

See where your brand stands in AI answers. Run the free AI visibility audit →

Related articles

• How to check if ChatGPT recommends your brand
• How AI engines choose sources
• GEO vendor evidence checklist
• We ran our own GEO audit