AI's summary quoted sources, more than half of which are not naturally searching for the pages. When we take apart 1,000 Taiwan keywords, the clearest signal is one word: it's not the domain weight that determines that you're not being quoted, but whether there's anything on the page that can be extracted cleanly and posted directly. The ranking gives you the right to move forward, to extract the character to determine who is to be named.
How does this analysis work?
We picked 1,000 groups of Taiwan's local key words, with the main axes on B2B software, business services and professional purchases, and also keeping a portion of the high-profile consumer survey as a group, all running in Chinese and Taiwan. For each set of keywords, we record four things: whether or not the AI overview shows up, which source is quoted, which text is extracted from each source, and where and where that text is on the original page. Desks and mobile devices were separated and the time was concentrated in the first half of 2026. This is not a snapshot of the day, but a repetition of the same key words, filtering out the occasional waves.
- Template: 1,000 sets of Chinese-language Taiwan keywords dominated by B2B and professional queries
- AI General Trigger Rate: about 34%, highest information sentence (what, how, which is better)
- When the AI overview appears, the average quote is about 5.2 sources
- Quoted sources in the top ten places of nature search: about 46%
- Recording dimensions: Trigger rate, source number, format and page location of ticked paragraphs
It's not much to be quoted.
The counterintuitive point here. Forty-six per cent of the sources of reference are already in the top ten of the natural search, meaning that more than half of the remaining references come from the second page or even from the back. The AI overview operates logically more like a pre-existing summary (featured snippet): It first determines the shape of the answer to the question, then goes back to the whole index and looks for the most appropriate paragraph, rather than moving the entire section of the top page. This technical link is called paragraph sorting: the engine is evaluated in paragraphs, not pages.
Take a look at what we've been seeing. A set of comparative queries on certain types of business software, the second page buried the answer in a 300-word essay, and the readers had to read it to conclude; the fourteenth page ended the difference with only two words and a three-column table. As a result, the AI General Reference is later. For engines, the part that answers the question is more valuable than a long text that is complete but difficult to cut.
Four of the most frequently cited content structures
All the extracted paragraphs are shown in a highly concentrated format. The four structures almost cover half of the list of references, and they have one thing in common: the information borders are clear, and the extraction of a section does not destroy the language.
- Direct definition sentence: The first to second sentences of the page after the title make the term clear, and the sentence is close to "X is " . This is the most likely paragraph to be quoted, because it is a natural answer.
- Line step or list: Dismantling "what" to "what" to 3 to 7 points, AI overviews often remove the whole list almost intact.
- Comparison table: Two or three options are rowed and fielded in the same table, which is particularly easy to use to answer questions such as "A and B"
- Query a short answer: H2 or H3 is itself a user-style query, followed by a short answer of 40 to 120 words, creating a tickable unit.
Which domain most frequently appears on the reference list
Dcard, PTT, and large media are still frequently cited in consumer queries, consistent with Taiwan users’ habit of going to forums to look for real experiences. But on B2B and the key word for professional acquisition, the whole thing turns. The official documentation, the product comparison page, and the content of the consultation type with a clear author, updated date and verifiable source account for most of the sources cited. The AI engine has a clear preference for a dedicated and retrospective page. As for the content farm page, even if the ranking is still there, there is hardly a reference list in this list of key words. This is good news for the brand of professional content: credibility can be rewarded.
On a professional theme, the AI engine prefers to quote a short, signed and dated answer, or to quote an entire page of anonymous long texts.
What does it look like?
- The length mostly falls between 40 and 120 medium text. The elders will be cut off, too short information will not be enough.
- The conclusion is at the beginning of the paragraph, and the first sentence gives the answer, without setting out the background.
- Align words with questions, use words, and there are words in paragraphs that make the engine easy to match.
- One paragraph answers only one question and does not insert several questions into the same paragraph to maintain a clean information boundary.
What does that mean for you?
You don't have to re-enact the entire website. Pick out the 20 to 30 questions that you most want to be quoted by AI, make sure that every one of them has a page or paragraph on your stand, and that it can be read alone. Three minor things follow: moving the definition sentence forward to the top of the title, tearing down the long arguments into lists or tables, and asking the key paragraphs with a stop button. These three actions don't add content, they just rearrange what you've written, but they allow you to clearly increase the extractability in the AI overview. The first level of work we do for clients in the GEO content engine, usually starts here.
You want to know which pages of your page are really pumped by AI, which high-value questions you haven't shown up yet, and you can schedule a 30-minute GEO diagnosis. We'll run through it in your own key words and point the gap to you, not give you a generic suggestion.
