For AI citations, the order of Dcard, PTT, and Mobile01 is almost the reverse of their popularity in Taiwan. Active users do not decide whether ChatGPT, Perplexity, or Google AI Overview will use a forum as a source. What matters is whether the content can be crawled, attributed to a clear subject, and quoted safely. By those standards, Mobile01 has the strongest starting position, PTT is a double-edged sword, and much of Dcard remains outside AI's view.
The Three Conditions AI Systems Look For in Forum Content
AI systems do not choose sources the way people in Taiwan choose forums. They first need public text that a crawler can read. Next, the passage must identify a clear subject: the brand, product, or model under discussion. Finally, the language and evidence must be credible enough to quote without creating unnecessary risk. Miss any one of these conditions and even a busy thread may never enter an AI answer. Sections within the same forum can also perform very differently. Technology boards on PTT and product-specific sections on Mobile01 tend to name their subjects clearly, while casual or highly emotional boards rarely provide a passage an AI system can use with confidence.
PTT: Easy for Models to Read, Harder for Them to Trust
PTT's web pages are public, text-heavy, and free of a login wall, which makes them unusually accessible to crawlers and language models. Many models have also encountered large volumes of PTT discussions, so its views often surface in answers about Taiwan. The risk comes from the format: anonymous posts, fragmented replies, sarcasm, and emotional comments can make serious assessments difficult to separate from casual attacks. A model may turn one negative review or an unverified complaint into a supposed consensus, then support it with a post whose claims stopped being true three or four years ago.
Dcard: High Engagement Behind a Wall AI Cannot Read
Dcard has the highest engagement of the three forums, and its younger audience often reflects current language and attitudes. Yet more of its content now sits behind login requirements or inside the app, and visitors who are not signed in may see only the opening posts in a popular thread. A crawler cannot extract a discussion it cannot read. The reputation built on Dcard can therefore influence people while remaining nearly invisible to AI. The platform still matters when younger consumers are the audience, but much of that investment will not support an AI-citation goal.
Mobile01: Structured Long-Form Reviews That AI Can Cite
Mobile01 fills the gaps left by the other two forums. Its public, crawlable discussions often feature long illustrated reviews that name the model, specifications, use case, strengths, and weaknesses. AI systems can identify the subject and extract a conclusion with relatively little citation risk. When someone asks whether a model is worth buying or which option fits a particular use, Mobile01 threads are more likely to be cited than content from the other two platforms. These reviews also age well: a three-year-old article can remain useful while its specifications are current. For 3C products, hardware, and tool-oriented B2B offerings, the platform often provides the strongest return of the three.
How the Opportunities and Risks Compare
- PTT: Highly readable and well represented in model training data. Its anonymous replies and isolated negative posts can be mistaken for consensus, while much of the content grows less current each year.
- Dcard: Strong engagement and a voice that resonates with younger audiences. Login barriers hide much of its content from AI, and its audience is more consumer-oriented than the typical B2B buying committee.
- Mobile01: Clear subjects and structured long-form reviews make its content easy to cite. Its audience skews older, and overly sponsored material can undermine credibility.
How B2B Brands Should Allocate Forum Resources
Start by defining the objective. If the goal is to enter AI answers, prioritize public long-form platforms such as Mobile01 and make every review specific about the model, real use case, and verifiable conclusion. On PTT, monitoring is usually more valuable than trying to manufacture volume: catch false or outdated claims before models repeat them. Treat Dcard as a channel for community relationships and human word of mouth, with limited expectations for AI exposure. Content meant for people and content meant to remain available to machines do not always belong on the same platform.
Before planning new content, find out which existing source is shaping the brand narrative. A company may assume PTT criticism is responsible when the model is citing an outdated post, or miss a favorable Mobile01 review that already strengthens its position. Tenten's Brand Radar identifies the platform, article, and model behind each answer. A GEO diagnostic session lasting an estimated 30 minutes can show how AI currently uses all three forums and where the source gaps remain.
