The question of which engine to attack first is to treat ChatGPT, Perplexity, Google AI as three separate battles, which are the most important assumptions to be thrown out before being sorted. The three engines were caught behind the same signal, not "which machine first" but "what kind of buying situation is right first." For the B2B SaaS in Taiwan, the correct order is not usually the first to have the largest flow.
Three engines, same signal.
Breaking the three engines apart for each other is the most common waste of resources. ChatGPT, Perplexity and AI overviews highly overlap when selecting which paragraph to quote: clear physical definition, structured paragraphs, clean answers, and testimony from outside third parties, such as comments, lists, community discussions and media references. The information structure of the same article is right, and it will be read by three engines at the same time, not just one. When we run GEO on behalf of our clients, about 70 percent of the jobs are usually shared across engines: the location of the product, its suitability, the difference with the competition, and the form in which the machine can directly quote. The remaining 30 percent is the difference between engines – users ask different questions, the transparency of citing sources, and the manner in which they decide whether to reveal your brand. Sort of, that's 30 percent.
Why is "the biggest traffic first" wrong?
Google AI has the widest touch because it is directly on the search results page, and anyone searching for an information type keyword can see it. But most of them appear at the top of the funnel: users are looking at what "GEO" is, "AEO should do," rather than choosing suppliers. There are many people who see, and they rarely make choices at that moment; plus a lot of zero clicks, the answers go and even the chance to bring people to your website is diluted. Put it first, which means investing the maximum amount of resources far away from the deal.
ChatGPT is the opposite. When someone calls "Show me some software for B2B roll-out", "What's the customer service tool for the 20-person team recommended," it's already on the list. This conversation has a direct impact on who gets to the short list of decision makers. It has a high degree of decision-making, and even if the whole search does not necessarily win, its contribution to the deal is closer to the end.
Perplexity has the smallest audience, but it deserves priority. It clearly lists the source of the reference next to the answer, and you can see it when you're not quoted. The loop is the fastest of the three engines. And it attracts researchers, analysts and technologists who can verify, point and source -- people who often choose for companies. Small size, but high gold each time.
Four determinations of sort
- Where is the shopping situation? The closer we get, the better we should.
- Source transparency: Will the engine mark who it quotes? You see, you can only measure and change.
- Business intentions for queries: Users are asking for definition, or are they asking, "Who, which scheme?"
- Can you measure: there's no visible trace, any sort of guess.
2026 gives Taiwan the order of business to B2B SaaS
If we can only proceed in one default order to most Bays B2B Saas, I'll line up like this: ChatGPT, then Progress, and finally take AI as an extension of SEO. The reason is not what's hot, but which's the closest deal, and which is the most vulnerable.
- ChatGPT does it first: it takes up up to the most "recommended tool for X" type of conversation, with ready on-the-spot search and a reference to online sources, and has a high degree of discretion and impact.
- Perplexity II: The transparent reference allows you to see in two weeks whether the content has been extracted, suitable for testing the structure of the content for the validity of the gold, and then to put the learned back into other engines.
- AI has a third overview: the most extensive, but the hardest to get out of the traditional SEO alone. Instead of being a stand-alone offensive, it should be considered as the natural result of a solid SEO build-up.
Gemini, Copilot, Grok do not need to open a single front. They follow the same signals and sources, and you stabilize the first three, and most of them improve. Instead of spreading it to an average of seven or eight engines, it's better to put pressure on two or three of the most effective engines.
When are we gonna change the order?
The assumptions above are not iron, but at least three kinds of adjustments. Selling it to the developer or the tech team, Perplexity should be in advance, because your buyer would have lived in a tool to verify the source. As a local service, or as a consumer, the AI overview is first, and it's the most tightly tied to the local search, where the exposure is most direct. By selling almost exclusively out of business, firms concentrate their resources on ChatGPT, so as not to be distracted.
Landing: first, then row.
Sort of presupposes that you can see the situation. Most of the teams didn't even measure their visibility in the engines, so they decided which one to start with. In fact, we're going to use Brand Radar for a while: to take the same key questions, divided by ChatGPT, Perplexity, AI, and see three numbers -- the proportion of brands that are referred to by initiative, whether the cited source is the page you control, and how many voices the opponent has on the same list. With this bottom map, it's not a guess, it's a row by size.
First order and then row, often overturns your instincts. Some clients think they're weak on ChatGPT, and then they find out that the real crack is being arranged in the AI General. If you want to know where you've got a gap on the three engines, you can schedule a 30-minute GEO diagnosis, and we'll show you what you can see and decide the sequence.
