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Taiwan B2B, which AI engine? Actual data on transfer traffic and reference overlap

ChatGPT, Perplexity, Google AI Overviews. We use the tracking data from Taiwan's B2B site to dismantle the transfer traffic of the AI engines and the cross-engine reference overlap, giving you a resource priority that can be followed directly.

Tenten GEO TeamPublished 2026-07-125 min read
Taiwan B2B sales team evaluates the conceptual perception of referral traffic and citing sources between several AI engines.

If only one pointer determines the AI traffic, do not click on the referral point. The B2B buyer in Taiwan sees you in the AI answer, remembers you, calls directly or fills out the forms a few days later, which is much higher than he is now connecting to the answer point. The transfer flow is the tip of the iceberg, and it's really a trade, is it the engine that tells you in the answer?

Referral traffic is less than AI visibility

The answer to the AI engine is mostly zero. Users have read the consolidated answer, they have an impression of the brand, but they don't need any connection. You see in GA4 that the referral from bitgpt.com, perplexity.ai often accounts for only a percentage of total traffic, and it's easy to conclude that "AI doesn't bring anything." This conclusion is usually wrong. A buyer in ChatGPT asked "What's in Taiwan as CEO's B2B agent" that your name appeared in the answer, and he wrote it down and looked for your brand name in two days, and that traffic would be recorded as a brand search or a direct flow that would never count on AI. It didn't happen at the moment. It didn't mean it didn't happen.

So "what engine to throw" can't just read the report. There are two things that should be asked: which engine will actually send the buyer to my website and which engine, if not traffic, will endorse me. The former looks at the transfer, the latter at the reference. Once quoted, it may affect a decision-maker who has not yet been hit, but is comparing to the supplier.

Taiwan, B2B, the engine that really touches.

It's pointless to list every AI tool in the world, only those with physical contact points for Taiwan B2B. User base numbers, interfaces, and buyers' practical usage habits determine their respective weight in your strategy.

  • ChatGPT: Taiwan's largest user base AI assistant, built-in search will capture the web page with its source, which is the main source of reference that can be accessed.
  • Google AI Overviews and AI Mode: At the top of your original SEO search, touch the widest, but click zero.
  • Perplexity: Place the source of the reference in the most visible position, with a high number of hits in the single session, mostly for research and technical buyers.
  • Microsoft Copilot: In Microsoft 365 and Edge, users within the industry meet, in small numbers, but in decision-making.
  • Gemini and Claude: The situation for direct dialogue with suppliers is increasing, with fewer hits of traffic, but with a plastic buyer's candidate list.

Transmission of engines: Who actually sent people to your website?

In our pursuit of Taiwan's B2B site, the AI engine brought a clickable referral in a fairly consistent order. ChatGPT is clearly top of the list because of its large user base, which is the only source link attached to the built-in search. After that, it's often more efficient than ChatGPT, because the page is a direct source. In front of the user, the point source is its default interaction. Google AI Overviews, which has the widest reach, has barely been able to click, but has eaten a piece of the search traffic that would otherwise have reached the site, a place where many sites have been able to find no reason for the decline in natural flows in recent years.

There's an easy point to misjudge. Perplexity’s absolute transfer is usually small, but it often sends visitors who stay longer, look at more pages, and come closer to asking, because users come with clear questions. Prioritize only with flow size, underestimating its value to B2B. The referral needs to be both quantitative and qualitative.

Don't ask which engine is in the highest traffic, which engine is the closest to the next list.Tenten GEO consultant team
Information diagram: Cross-engine reference overlap between the high and low transmission traffic of the various AI engines.
Look at ChatGPT, try to see Perplexity, touch Google, and quotes spill over the engine.

Quote overlap: Winning the next one, often equals winning the second half.

The good news is that these engines are highly replicated. If a page is selected as a source because it is well structured and the answer can be directly extracted, it is not as likely to be quoted by ChatGPT and Google AI Overviews, because the web index behind it is similar to the preferences: it can be quoted, structured and powerful. In our tracking, the cross-engine references under the same set of questions overlapped, roughly half to 70 percent. But the overlap is not full. Perplexity prefers new, time-efficient content, Google AI Overviews more trusting in long-run, high-powered domains, ChatGPT walking in the middle. The correct solution is not to write one for each engine, but to make a text that is sufficiently qualified to be quoted by any engine, then fine-tune it by difference.

What about the budget and the strength?

Most Bay B2B teams have limited resources and share them on average, rather than investing in the following sequence, then building the foundations. Each step is based on the results of the previous step and is not individual.

  1. First of all, make the most recalcitrant content: clear questions, clean answers, paragraph extracts and structure markers. This step also feeds all engines.
  2. Take care of Google's line: AI Overviews has the widest touch, and its preferred domain authority is the very foundation of the traditional SEO, reporting the most stable.
  3. For Perplexity Plus Time Signal: Distribution and Update Date, Data Source, Validable Numbers, in exchange for high-intensity visitors.
  4. Magnify the volume with ChatGPT: Confirm brand name, product name correctly depicted in the conversation, which is the largest base number and first contact with buyers.
  5. And finally, one by one, Copilot, Gemini, these long tail engines, which are usually done in the first four steps, bring them along.

A priority for Taiwan's B2B.

Summarizing the sentence: using Google as a foundation, using quoteable content as a common base for five engines, using Perplexity as a high-profile visitor, using ChatGPT to zoom in. It's not the engine that really needs to be looked at, it's the same key, I've been quoted several times in five engines, I've been told several times, and that's what Brand Radar is tracking. You want to know where your brand is right now, with a 30-minute GEO diagnosis, and we'll run you over your own key questions.

Frequently asked questions

Taiwan B2B, which AI engine do you prefer?
Play the Google AI Overviews line first, touching the widest and traditional SEO ground-based overlap; then spill the quoted content over to ChatGPT and Portexity. Perplexity sent the highest number of visitors and deserves to be added to the time signal.
Why is the transmission traffic of the AI engine in GA4 so little?
Because AI answers mostly zero clicks. Users read the full and well-defined answers, creating the impression that they are not necessarily connected to the site, or even searching for brand names one day. The referrals reflect only the tip of the iceberg, and the real impact depends on the number of times you are quoted and correctly described in the engines.
Does the AI engine need to write a set of contents?
No. The sources of reference for the engines are highly overlapping, with about half to 70 per cent of the same problems. A well-structured version of what can be extracted from the entire section goes through the reference box, then replaces the Proplexity Timework, and adds Google's cumulative domain authority.

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