Getting Cited by AI Search: A Practical GEO Guide
GEO makes your content reliable material for AI answers: lead with a takeaway, source your data, structure Q&A, complete your schema markup, earn corroboration from authoritative third parties, and keep measuring your mentions and citations in each AI assistant.
What is GEO, and how is it different from SEO?
SEO (search engine optimization) competes for rankings on a results page. GEO (generative engine optimization) competes for citations and mentions when AI generates an answer. When a user asks DeepSeek "What SCRM solutions are there for the China market?", whether your brand appears depends on how easily your content can be extracted and how far it can be trusted.
This is now mainstream behaviour. A report published in September 2026 by the China Internet Network Information Center (CNNIC) shows that by the first half of 2026, China had more than 700 million generative AI users, a penetration rate above 50%, and 76.0% of users said they ask generative AI to answer questions.
GEO does not replace SEO. When AI assistants search the web, they rely heavily on pages already available in search engines and content platforms, so SEO foundations still count. The difference is that GEO cares not only about whether users click through to your site, but about how AI describes you in its answer and whether it recommends you.
How do Chinese AI assistants choose their sources?
The AI assistants Chinese users rely on include DeepSeek, Doubao (ByteDance), Yuanbao (Tencent), Qwen (Alibaba) and ERNIE Bot (Baidu). Their answers usually draw on two things: knowledge learned during model training, and live web retrieval at the moment of the question. For brands, the second is the part they can influence.
Each assistant's retrieval draws on a different content ecosystem. Yuanbao, for example, can search WeChat Official Account articles, while ERNIE Bot is closely tied to Baidu Search, Baidu Baike and other Baidu content. Visibility in one AI assistant does not carry over to the others, so brands need to check each one.
In practice, AI tends to favour:
- Paragraphs that answer the question directly with a clear conclusion
- Data and facts with verifiable sources
- Information from authoritative or specialist sites, confirmed consistently across several sources
- Up-to-date, dated content
- Clearly structured pages whose headings and Q&A are easy for machines to parse
Four content moves that make AI able and willing to cite you
Move 1: give every page a one-sentence takeaway
AI favours clearly structured paragraphs with a definite judgement. Compress the article's core conclusion into one or two sentences at the very top of the body, not buried in the third paragraph. On Dékuple China's own website, every article has a mandatory "Key Takeaway" field to build this into the process.
Move 2: source every number
AI is reluctant to cite numbers without a source. Attach a verifiable source link and the year to every key figure. This helps you get cited and also meets the requirement in China's Advertising Law that quoted content must state its source.
Move 3: organise frequent questions as FAQs
Turn the questions users really ask into 3–5 Q&A pairs, each with a direct answer. The Q&A format closely matches how users prompt AI, so the answers are easier for AI to extract and reuse.
Move 4: complete your schema markup
Add schema markup such as Article, FAQPage and Organization so machines know what the content is, who published it, when it was updated, and which parts are questions and answers. If your site generates FAQPage markup automatically, make sure the on-page Q&A matches the markup.
Beyond your own content: let authoritative sources speak for you
AI looks not only at what you say about yourself, but at what others say about you. Beyond the brand website, Baidu Baike entries, industry media coverage, expert answers on Zhihu, genuine notes on Xiaohongshu and WeChat articles can all become material for AI answers.
Some practical steps:
- Keep the company name, brand description, core products and key figures consistent across platforms, so AI does not read contradictory information
- Provide Chinese-language pages that load reliably in China; content on overseas sites is often hard for Chinese AI assistants to retrieve
- Publish substantive content on the target questions in industry media and professional communities, not just self-promotion
- Regularly check AI answers for wrong information about your brand and correct it at the source page
If you want to do this systematically, see Dékuple China's GEO (generative engine optimization) services.
How do you measure GEO?
Website traffic alone cannot measure GEO, because many users learn and compare inside the AI answer itself. A more reliable approach is to build a fixed library of prompts, ask them regularly in each AI assistant and record the results.
- Mention rate: the share of target questions in which AI mentions your brand
- Cited sources: which pages AI cites, and how many are your own content
- Position and tone: where your brand appears in the answer and how it is described: positive, neutral or negative
- Share of voice: your share of mentions against key competitors
- Platform differences: how you perform on DeepSeek, Doubao, Yuanbao, Qwen and ERNIE Bot
The prompt library should cover every stage of the decision, from "what is" to "which is best" to "A or B". AI answers shift as models update and content changes, so watch the trend over time rather than a single result. Dékuple China uses Brand Pulse AI visibility tracking to monitor these indicators continuously and compare them with business results such as leads and enquiries.
Key Data & Sources
| Data | Value | Source |
|---|---|---|
| Generative AI users in China (first half of 2026) | Over 700 million | https://www.cnnic.net.cn/n4/2026/1008/c88-11704.html |
| Generative AI penetration rate in China (first half of 2026) | Over 50% | https://www.cnnic.net.cn/n4/2026/1008/c88-11704.html |
| Share of generative AI users who use it to answer questions | 76.0% | https://www.cnnic.net.cn/n4/2026/1008/c88-11704.html |
FAQ
Is GEO relevant to every industry?
It matters most where people research before they decide, such as B2B, education, healthcare and luxury. High-frequency, low-value impulse purchases depend more on other channels, but how AI describes the brand still shapes perception.
How much content do you need to start GEO?
Not a lot at first. Restructuring your core service pages and a set of high-quality insight articles so they answer your target customers' most common questions works better than publishing a large volume of thin articles.
How long does GEO take to show results?
AI assistants differ in how often they retrieve and update, so changes are usually measured in weeks or even months. Record a baseline before you restructure content, then track the trend in mentions and citations with a fixed prompt library.