
Strategy
China generative engine optimization: how to earn useful citations
China generative engine optimization starts with accurate Chinese answers that search tools can find. Then check whether AI answers cite those pages correctly. Technical changes and more pages cannot guarantee inclusion.
Reviewed October 23, 2026. This guide reviews documents and public website files. It does not report a consumer-app citation experiment.
Your brand may appear in an AI answer with an outdated product name or the wrong seller. A mention alone tells you little. The useful question is whether a potential buyer gets accurate information and a clear next step.
| Search surface | Evidence to start with | What to check for your brand |
|---|---|---|
| DeepSeek (深度求索) | Its own search engine supports web and API search | Which pages support the answer |
| Doubao (豆包) | Developer search tools offer distinct source options | The consumer app’s actual citations |
| Qwen (通义千问) | Developer search and citation settings vary by interface | Whether a search happened at all |
| Baidu AI (百度 AI) and ERNIE (文心) | Search retrieval and answer generation are separate functions | The search product, model, and sources used |
The provider documents below establish these distinctions, without offering a ranking formula. For a brand entering China, start with a reliable local fact page. If you already sell there, inspect the answers buyers receive before commissioning more content.
An API is a software interface developers use to request a service. Its settings can differ from the options shown in a consumer app.
Choosing where to invest before testing AI answers? Our Baidu SEO vs social media guide starts with buyer questions and separates website search from discovery and in-app search.
Why China generative engine optimization needs its own checks
GEO means preparing information for use in answers produced by AI search tools. It overlaps with ordinary search work: useful pages still need clear subjects and accessible content. Retrieval means finding source material. The extra check is what happens next, when the tool writes an answer from that material.
Start with the products your customers use. A test in an English-language assistant cannot establish what a Chinese buyer sees in another app. Even the same question can mean something different once the location changes. A product available overseas may have a different local seller or warranty.
QuestMobile reported June 2026 active-user totals of 382 million for Doubao (豆包), 167 million for Qwen (通义千问), and 129 million for DeepSeek (深度求索) in its native-app analysis. Source: QuestMobile, July 2026. https://www.questmobile.com.cn/research/report/2076954943839809537/
Those figures describe app use. They do not measure search share or predict purchases. People can use several apps. Do not add the totals to estimate a unique audience, and do not turn the largest total into an automatic budget choice.
Ask sales staff which questions delay a purchase. For a hotel, that might be transport from the station. For an equipment supplier, it might be local service coverage. Build the initial test around those decisions, rather than a broad prompt asking which brands are best.
Separate the model from the app
DeepSeek (深度求索), Doubao (豆包), and Qwen (通义千问) can refer to a model family, a branded assistant, or services developers use. ERNIE (文心) is Baidu’s (百度) model family. Baidu AI search is a search product. Record the exact product before comparing results.
A developer can combine a model with selected documents or a search service. That application’s answer does not demonstrate how the provider’s consumer app chooses sources. It may be reading a completely different collection.
Use a simple test label: product name, app or website, visible model name, search setting, language, and date. Record the account and location conditions as well. If a setting is not shown, write “not shown” in your research sheet. Do not fill the gap with a guess.
For pre-entry work, test category questions and local purchase requirements. An established brand should add questions about its own products, distributors, and after-sales support. Keep those groups separate. A correct answer to a question containing your brand name does not prove discovery among new buyers.
A starter set could ask which product fits a buyer’s task. Add a comparison with an alternative and a question about local support. This is a suggested scope, not a provider benchmark. Use questions your team can assess accurately. If nobody can judge the answer, find the right product specialist before scoring it.
What the providers say about finding sources
DeepSeek now documents its own search engine
DeepSeek says its web and API search use its own search engine. It also says it filters SEO cheating, GEO manipulation, and low-quality AI-generated content. Source: DeepSeek (深度求索), October 2026. https://api-docs.deepseek.com/zh-cn/updates/
That statement was published on October 17. It changes the starting point for any plan based on older assumptions about search suppliers. The accompanying developer guide distinguishes searching for pages from fetching a page’s text.
Publish information worth retrieving. Do not buy a promise that repeated mentions will force a recommendation. The provider’s statement does not reveal its full ranking system or show how well its filtering works.
Before buying a content package, ask which buyer question each proposed page will answer and what evidence will support it. A page count is not an outcome.
Doubao’s developer tools have different source choices
Volcano Engine documents separate Doubao Search Custom and online-content plugin options. In the plugin, the source called “douyin” means Douyin Encyclopedia, not a promise to search every video. Source: Volcano Engine (火山引擎), October 2026. https://docs.volcengine.com/docs/ark/web-search?lang=zh
This is developer documentation for Doubao (豆包) services. It does not prove which sources the consumer assistant will use for your question. Nor does it show that posting a video on Douyin (抖音) guarantees retrieval by the app.
If an agency bases its plan on a named source connection, ask it to identify the product and show the cited page. A brand account’s presence on a related platform is insufficient evidence on its own.
Qwen can decide whether to search
Alibaba Cloud distinguishes enabling web search from forcing it. Its documentation also provides source and citation controls, with support depending on the API interface. Source: Alibaba Cloud (阿里云), October 2026. https://help.aliyun.com/zh/model-studio/web-search/
For Qwen (通义千问), record the search settings in a developer test. A fluent answer alone does not establish that the tool read your current website. Inspect the returned evidence where the interface provides it, and keep this test separate from observations in the consumer app.
Baidu’s search and model choices are separate
Baidu’s May 2025 application guide describes search-based answers and source-domain filtering for its developer service. Source: Baidu (百度), May 2025. https://ai.baidu.com/ai-doc/AppBuilder/im8fqgsu6
This older guide illustrates the distinction between retrieving information and generating an answer. It is not a complete specification for today’s consumer search. An ERNIE (文心) model name alone cannot tell you which pages were supplied to a particular application.
Across these products, examine the evidence attached to the answer. Open the source. Confirm that it supports the particular claim, rather than merely mentioning the same subject.
Check whether the answer relies on an old offer that a newer source has replaced. A real citation can still support an outdated recommendation.
Five checks for a useful source page
These are editorial checks, not five proven ranking signals. Use them to remove obstacles to a useful answer. None carries a published weight across all the Chinese AI products discussed here.
| Check | What to put on the page | What to reject |
|---|---|---|
| Identity | Consistent Chinese and English names, with a clear seller | Different names for the same product without explanation |
| Answer | A direct response to a real purchase question | A slogan standing in for a specification |
| Evidence | A dated source, test method, or relevant document | A number whose origin cannot be traced |
| Local fit | Availability and support terms for the relevant market | An overseas policy presented as a China policy |
| Readability | Important facts in accessible page text | Essential information available only in an image |
Take an imaginary appliance brand entering China. Its overseas page says the product has local repair support. The Chinese page should say which market that covers and where buyers can confirm service. Translating the original sentence would leave the key question unanswered.
For a brand already in market, begin with a factual mismatch you can reproduce. Perhaps an answer confuses an older model with its replacement. Add a clear comparison to the relevant product page. Explain which parts changed and which accessories still fit. Then test the same question again and record the result.
Keep a source beside each material claim while editing. If the supporting document does not establish the local warranty, cut the warranty claim. A confident paragraph cannot repair missing evidence.
Distinguish the manufacturer from an authorized seller and a service company. They may all appear in the same purchase without making the same promises. Identify who offers the warranty and which document defines it. Avoid a generic contact page that leaves readers to untangle those roles.
What structured data can and cannot prove
Structured data labels facts for software. JSON-LD is one format for publishing those labels in a page. It can describe an organization or identify an article’s author and publication date. Keep it consistent with the text readers see.
Our review did not establish a universal rule that Chinese AI search products consume particular schema types or reward them with citations. Do not present valid markup as proof of either behavior. A technical audit and a citation test answer different questions. This evidence limit does not mean that no provider uses structured data.
Check the basics with a developer. A public page should return its main answer without requiring a login. Check that the preferred page address points to the version you want readers to use, with old versions clearly identified.
Inspect the actual response.
A robots.txt file states crawling preferences. It does not demonstrate a visit, indexing, or a citation. A successful search notification also cannot prove the next AI answer will use your page. Inspect access records when available, but keep the public answer test as a separate measure.
Avoid adding crawler names copied from an undated list. First verify the provider’s documentation and decide what access your site intends to permit. Do not change access rules merely to make an audit score rise.
If the page opens in your browser but a retrieval test fails, record the failure and ask the developer to inspect it. A login wall, security challenge, or missing page text calls for a technical investigation. It does not establish that the writing needs more keywords. Keep the failed response with the test record.
Write the Chinese answer your buyer needs
Translation is necessary when the original material is useful. It is not a substitute for checking whether the answer fits China. Ask a Chinese editor who understands the product to start with the buyer’s question and verify the local details.
Use the product’s approved Chinese name alongside its English name where that helps identify it. Unfamiliar category terms need an explanation. Measurements should use the form buyers expect locally, with converted values checked. Do not invent a Chinese product name because a translation sounds natural.
For example, a travel page might describe a hotel as convenient for arrival. A useful local answer names the station, explains the transfer, and states where the traveler can confirm current arrangements. The editor must verify those details. General praise adds little to the decision.
Keep public product facts consistent across your website and relevant social accounts, including WeChat (微信) and Xiaohongshu (小红书), also called RedNote. This is an accuracy practice, not proof that every assistant can retrieve every post. Publish essential facts on a stable public page where possible.
For an existing account, review comments and service questions before adding more FAQs. Repeated confusion can reveal missing information. Remove private customer details when turning those questions into public copy. The resulting answer should stand on its own without the original conversation.
Choose third-party coverage for its evidence
A directory entry can identify a seller. A trade article can explain a product test. A listicle may compare useful options or merely repeat promotional copy. Judge the page by what it establishes, who wrote it, and whether its evidence can be checked.
This review found no basis for claiming that directories and listicles carry more weight in China as a general rule. Treat that claim as unproven. If a publication appears in your saved AI answers, inspect those particular pages before deciding whether the publication is relevant to your buyers.
Earn coverage by supplying accurate information a publication can use. That could be a test with a stated method or a product explanation reviewed by a qualified specialist. Let the publisher make its own assessment. Do not fabricate reviews, ratings, or independent endorsements.
When a source gets your facts wrong, request a correction with supporting evidence. Start there before publishing more pages that repeat the preferred wording. Several copies of the same press release are not several independent checks of the claim.
An old announcement may have been correct when published. If it describes a discontinued product, publish a clear current status page and identify the replacement where one exists. Ask for an update where appropriate, without rewriting the historical record. A reader should be able to distinguish an old launch from a current offer.
Check citations without buying a tracking tool
Start with a few questions you can check carefully. Expanding the list can wait until the team agrees on what counts as a supported answer.
A spreadsheet is enough to begin. Choose questions from real buyer decisions, including category questions that do not name your brand. Add branded fact checks in a separate group. Keep the wording fixed within each comparison, and save the Chinese prompt exactly as used.
Run each question in a fresh conversation. Record the product and search mode, then save the answer, time, and source links. Check every cited page against the claim beside it. Mark a missing source as missing. Do not count an uncited brand mention as a verified citation.
Keep a prompt that supplies your URL in a separate record. That test can help examine whether the tool reads the page, but it cannot demonstrate that the tool would discover it without your help.
| Record | What it tells you | What it does not establish |
|---|---|---|
| Brand mentioned | Your name appeared in this answer | Accurate information or endorsement |
| Owned page cited | An answer linked to your website | The page supports every nearby claim |
| Accurate supported claim | The cited source backs the statement | A customer clicked or bought |
| Qualified inquiry | A useful business contact occurred | AI caused it without attribution evidence |
Repeat the same questions after a meaningful change. Keep failed attempts and missing answers in the record. If you calculate a citation rate, state the total number of completed answers in that defined test. Report failures separately so they cannot quietly improve the result.
Count answers that cite your owned pages separately from answers that merely mention your brand. Count each answer once within a measure, even if it repeats the same link. A list of unique source domains answers a different question and belongs in its own column.
Mark a recommendation as unsupported when its source does not justify it. Keep the exact claim and the source URL together so another reviewer can check your judgment.
Changes may come from the tool, the sources it found, or your page. A before-and-after comparison alone cannot isolate the cause. Record what you changed and avoid claiming a causal lift from a small manual sample.
If the answer repeatedly gives the wrong distributor, fix the public record and check again. If it cites accurate information but sends no measurable visits, do not relabel citations as leads.
Look for identifiable referral visits in your website analytics, and record what an inquiry says about how the buyer found you. Missing referral data is missing evidence, not proof that no influence occurred.
Keep a change record beside the results: page address, edit date, corrected claim, and the document supporting it. Record unrelated site changes too. When an answer improves, describe the observation narrowly. Say which question and product produced the corrected answer, rather than claiming your entire brand now ranks better across China.
A working checklist from our own site
TheRedScroll’s public files offer an inspectable example. They demonstrate what we publish, not a measured improvement in Chinese AI citations.
On October 23, 2026, our live robots.txt allowed public paths in its wildcard group, with an exception for /api/. It also listed separate rules for named bots. Source: TheRedScroll public-file inspection, October 2026. https://www.theredscroll.com/robots.txt
Our live Bilibili article emitted Organization, Person, BreadcrumbList, and BlogPosting structured data when checked on October 23, 2026. Source: TheRedScroll live-HTML inspection, October 2026. https://www.theredscroll.com/insights/bilibili-marketing-foreign-brands/
Our local repository inspection found an IndexNow deployment workflow. It compares live pages with an earlier snapshot and submits changed page URLs. The public key file resolved during this review. That confirms configuration and a reachable key, not a successful history of submissions or an effect on Chinese AI answers.
TheRedScroll’s public IndexNow key file was reachable and matched the repository’s key on October 23, 2026. Source: TheRedScroll public-file inspection, October 2026. https://www.theredscroll.com/2025f93e911e587ed9023d01cec1ce56.txt
| Site check | Evidence in this example | Apply it to your site |
|---|---|---|
| Public access policy | Live robots.txt | Read the rule group relevant to the crawler |
| Search notifications | IndexNow workflow and public key | Confirm configuration, then inspect actual delivery records |
| Article labels | Structured data in the live HTML | Match labels to visible facts |
| Source support | Dated references beside claims | Open each source and check the stated scope |
| Citation outcome | No performance result claimed here | Save your own dated answer tests |
Before launch, name the person responsible for the Chinese fact pages and the person who will review the answer tests. In-market teams should also agree who can correct outdated seller and support details. Without an owner for those facts, a growing content calendar can leave the original error untouched.
Repeat the review when a provider changes its search features or your product facts change. Keep the earlier results so the next reviewer can see what was tested and when.
Our AI page describes how we use AI in production. Strategy, Campaigns and Analytics covers the planning and reporting work. Judge the result by whether buyers received a useful, accurate answer.
Questions about AI search in China
What is GEO and how is it different in China?
GEO is work that makes accurate information easier to find and use in AI answers. For China, test Chinese buyer questions in the actual local products your customers use. Check local availability and support details. An English answer from another assistant cannot establish which sources a Chinese app will retrieve or cite.
How do I get my brand cited by DeepSeek?
Publish accessible, well-supported answers to relevant questions, then test whether DeepSeek (深度求索) finds and cites them. Its October 2026 release says its own engine supports web and API search and filters manipulation. No guaranteed placement method follows from that statement. Check the source and accuracy of each answer before treating a mention as progress.
Does Chinese AI search read structured data?
Do not assume every product reads every schema type. Our source review found no universal provider commitment or verified citation benefit. Keep structured data accurate and consistent with visible text, but test citations separately. A valid label proves that the page contains that label. It does not prove a particular search tool used it.
Bring your Chinese product pages and a saved answer that concerns you. Book a call to work out whether the first fix belongs in the facts, the page, or the way you measure the answers.
Already running a China content program? Bring its existing report so the review starts with what it actually measures.
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