Some people in Chinese have asked ChatGPT, Perplexity or Google AI Overviews, "Whoever in Taipei is SaaS good?" "Some tool is worth buying", "Ai's source of response is probably not your official network, but rather the Dcard's discussion string, PTT tweets, Mobile01's opening box, Wikipedia lines, some local news, and .gov.tw's official data. You write it on your website, and as long as these places don't have you, there won't be you in AI's answer.
The reasons why these six types of sources are repeatedly found in the multiplicity of AI answers are the same: large content, long accumulation, large number of connections and transmissions, good format, and strong trust signals. Language models have read them extensively during the training sessions, and they are picked up first on immediate inspection. For the Taiwan market, this is the bottom layer of the full AI answer. Understanding this map is the first step in making the GEO, and the most frequently jumped step.
Why is AI quoting them instead of your official network?
AI is not looking at your official network, but it believes more in "how do people say you." You say you're number one in the market, it's called self-proclaiming; when Mobile01 is tested, Dcard is discussed, the news is reported, these third-party signals are cross-checking, the model dares to write you into the answer. This is where the GEO is not used to: you control the most official network, you have the least power; you have the most difficult community reputation, you have the highest power. To admit it, it is the resources that are in place, not all on their own websites.
Social Spectrum Three: Dcard, PTT, Mobile01
These three platforms have built up the real reputation of Taiwan's Internet and are the most popular source of information for the community. They have different locations, different types of questions that are covered and worth knowing one by one.
- Dcard: An anonymous community of school and young people gathers a lot of real discussion using experience and choice. It's very common for AI to pick up material from here.
- PTT: Taiwan's oldest BBS community, the home people's boasting and their hearts built up into a vast reputational database. The user structure is mature, but the discussion of panels such as Soft Job and Tech Job remains an important basis for AI's common understanding.
- Mobile01: In-depth forums centred on 3C, cars, homes, open boxes and long reviews. The content of Mobile01 is often used as technical evidence when asking about the rules of the product or what to buy.
These three platforms seem to be expensive, but they're just as critical to B2B. The real decision makers will also be on PTT working boards asking "how does the company's product work works" and watching what the industry says at Dcard. You can't buy the quotes directly from the ad, but it's a product that really deserves to be discussed. And that's why GEO can't just do content, but look back at the product and the client experience -- no one's willing to talk about it, no one can get the answers.
Authority Level: Wikipedia in Chinese
Wikipedia is AI to construct physically recognized skeletons. Chinese wikis are often the first reference when the model identifies what a brand is, what class it belongs to, and who it relates to. A brand with complete, neutral, well-sourced phrases, in the eyes of AI, is an entity recognized by the world; without words, or thin lines, models can easily confuse you with others, or even omit them directly. But Wikis isn't what you can write, it requires attention and reliable third-party sources, and self-proclaimed entries are deleted. In turn, it reminds you that to get into the physical map of AI, Wikipedia will have to stand up to the fact that the press and industry have accumulated enough coverage.
Truth and Time: Local news media
Union, mid-time, freedom, ETtoday, Underground, Digital Age, iThome, these are the local media that give AI two things: date-based facts, and institutional endorsements. AI is particularly interested in catching news when asking questions about the effects, such as "the trend in some market in Taiwan in 2026", or when calling for a number of authorities. The brands that are reported leave a time-stamped anchor in the AI database, and there is something that can be matched when models cross-check. This floor is also a bridge between community slogans and wikis — with news reports first, the origins of wikis, and community discussions.
Top trust level: .gov.tw government domain
.gov.tw is the trust-worthy ceiling in the Taiwan domain. Government statistics, regulations, bulletins, white books, and models are almost unconvinced. Of course, you can't stuff the brand in.gov.tw, but you can use it: you can use government-public data to document your claims, participate in public sector projects or labels, leave records to check, and you can use the numbers you quote to match the official path. When your content is consistent with the facts of .gov.tw, AI will be more willing to use your share when checking instead of choosing a more conservative source.
Turn this map into GEO.
The order of action is three steps: first, take a count of your type, which source, whether or not you are quoted by AI, and then determine the gap by level, whether Wikis has no words, no news, or no community discussion; and finally, put the filling in the order of priority. And that's what we did in the GEO audit -- with your real questions, against the answers to the six AI engines, finding out where you are on this quoted map, and deciding which level to fill first.
Do GEO in Taiwan, the battlefield is not on your network, and on the tables of Dcard, PTT, Mobile01, Wiki and News. Your mission is to put a pair of you on every table, worthy of being quoted.— Tenten GEO
I'd like to know what source AI is now using to answer your class, which floor you're missing, and which 30 minutes of GEO diagnosis. We'll take you through this quoted map with your actual questions, so you can see clearly which gap should be filled next.
