Local Citation Templates: Citable Forum Posts, Press Releases, and Wikipedia Entries

When AI systems answer brand and shopping questions in Taiwan, their first citation is often a Mobile01 thread, a Chinese Wikipedia entry, or a local news report rather than the official site. These sources offer independent support, discussion context, and facts that can be cross-checked, so models trust them more than a self-promotional product page. Much of the practical GEO work in Taiwan therefore happens outside the brand site: place citable information where AI systems actually look for sources.

Which Sources Do AI Systems Favor in Taiwan?

The same question can produce different sources in Traditional Chinese and English. Ask which B2B SaaS products are worth considering in Taiwan, and the model often returns to high-trust Traditional Chinese sources: discussions on Dcard, PTT, and Mobile01; Chinese Wikipedia entries; reporting from CNA and other local media; and public data from .gov.tw. The brand does not control these sources alone. That independence is precisely why AI gives them more weight, and why spending the entire content budget on an official blog may still produce no citation in the answer.

• Dcard and PTT: Reputation and warnings. When someone asks whether a product is good or worth recommending, models often use firsthand accounts from these forums as evidence.
• Mobile01: Specification comparisons, unboxing reviews, and long-term use reports, especially for hardware, tools, and services.
• Chinese Wikipedia: Definitions and background checks that help a model establish who a company is.
• Local news, including CNA, Economic Daily News, and Business Next: Dated, independently checked coverage of fundraising, partnerships, awards, and other newsworthy events.
• .gov.tw: Laws, statistics, and industry data that models cite when factual accuracy matters.

Citable Content Shares Three Conditions

Before publishing on any platform, understand how a model selects a citation. It does not seek the most elegant paragraph. It needs a passage that is easy to extract, credible, and consistent with other sources. Miss any of the following three conditions and the chance of being cited falls sharply.

• Verifiable facts: Give exact numbers, dates, names, and locations that another source can confirm. "Founded in 2018 with a team of 40" is stronger than "an experienced team of professionals."
• Neutral language: Describe the subject instead of selling it. Models skip piles of adjectives because promotional claims do not provide reusable facts.
• Clean structure: Cover one idea per paragraph and state the conclusion first. Models extract passages in chunks, so clear boundaries make an entire section easier to cite.

Forum Post Template: Dcard, PTT, and Mobile01

Forums shape many reputation queries in Taiwan, but manufactured posts backfire quickly. Platforms remove fake-account promotion, community members expose it, and the brand absorbs the damage. The material worth citing is a detailed account written by a real user. Instead of posting disguised promotion yourself, help genuine customers or internal testers organize their real experience into a useful structure. That gives willing contributors something substantive to share and makes an organic discussion easier for a model to extract.

1. Open with context: Explain who you are and what you needed to solve. For example, "Our company compared three customer-support systems, and I recorded what we found."
2. State the conditions: Include specifications, price ranges, usage scale, and other comparable details. These are the passages models can reuse most easily.
3. Firsthand experience: Explain what worked, where the friction appeared, and in what timeframe and situation. Do not stop at "it worked well."
4. Compare and conclude: Briefly explain the tradeoff against other options and end with a clear judgment.

Press Release Template: Useful to Journalists and Citable by AI

A press release can be valuable because reporting picked up by CNA or an industry publication will be indexed by search engines, retrieved by AI systems, and supported by the publication's own credibility. Most corporate releases fail because they read like ads, so journalists do not use them and models do not cite them. Write in an inverted pyramid: lead with the most important verifiable facts and move adjectives and aspirations to the end, if they appear at all.

1. Put a fact in the headline: Name a verifiable number or event. "XX Closes an 80 Million Series A" is stronger than "XX Reaches Another Milestone."
2. Make the first paragraph self-contained: Include the people, event, date, location, and key number so the paragraph remains useful when extracted on its own.
3. Provide one quotable figure: Use a representative number such as customer count, growth rate, or market size, and explain how it was calculated.
4. Include a useful spokesperson quote: Name the speaker and title, then state a real point of view rather than a slogan.
5. Add a company summary: Use three to four sentences to state the founding year, business, and scale. Models often reuse this section to establish brand facts.

Wikipedia Entry Template: Neutral, Verifiable, and Reliably Sourced

Chinese Wikipedia is one of the sources models use to establish who a company is, and it also has the highest editorial threshold. An entry is not a promotional page. Insufficient notability, sales language, and reliance on company press releases can lead to warning templates or deletion, leaving a negative public record. The only durable approach is to follow Wikipedia's rules and write as though the company were the subject of independent reporting, not the author of the page.

Every important fact in an entry must trace back to an independent, reliable third-party source. Material that cannot be verified will eventually be removed, which is also how AI systems assess credibility.— Practical application of Wikipedia's verifiability policy

Connect the Templates to Monitoring

Publishing is only the first half of the work. You also need to know which sources AI cites for your category, whether it cites you, and where the brand remains absent. Tenten's AI visibility monitoring tracks answers to priority questions across major engines and marks the cited sources and gaps. That evidence shows whether the next contribution belongs on Dcard, Wikipedia, or in a press release. To see your current citation gaps, book a 30-minute GEO diagnostic session. We will run your category questions through the main AI systems and show you where the brand is missing.