SEO 與 GEO 之爭方向錯誤：AI 搜尋流量較少，訪客購買意向更強

Everyone is arguing SEO versus GEO, as if one of them has to win. The numbers coming out of real analytics accounts suggest the argument itself is broken — because it is measuring the wrong thing.

Traffic was always a proxy. It stood in for attention, then for interest, then — hopefully — for revenue. AI search has broken that chain in an interesting way: it sends fewer visitors, but the visitors it does send are much closer to buying. If your dashboard only counts sessions, AI search looks like a disaster. If it counts signups, it looks like the best channel you have.

The numbers that break the old dashboard

Ahrefs shared their own data: AI search accounted for just 0.5% of their traffic, but 12.1% of their signups. That is not a rounding error. It is a completely different ratio from organic search, where a large volume of visits produces a small share of conversions.

An Opollo study across 312 IT firms points the same way: AI referrals converted at 14.2%, against 2.8% for Google organic. Again, the story is not volume. It is intent. By the time an AI answer sends someone to your site, that person has usually already had the comparison, the objection handling, and the shortlisting done for them — inside the answer.

And Ethan Smith's analysis adds the part most teams miss: roughly 45 billion monthly AI sessions, with about 83% happening inside apps — ChatGPT, Gemini, Perplexity, Claude — rather than on the open web. Most AI activity is not happening on websites at all. Your site is not the destination any more. It is the source the answer was built from, and occasionally the place the buyer lands to finish the job.

Put those three data points together and the picture changes. The funnel did not disappear. It moved upstream, into the answer itself. The click is no longer the start of the buying journey. It is near the end of it.

Why an AI referral converts differently

A Google click is often the start of research. Someone types a broad query, opens five tabs, and bounces from four of them. An AI referral is different because the filtering already happened before the visit.

The AI has already:

• Understood the question in full sentences, not keywords
• Compared options against the buyer's actual criteria
• Answered the obvious objections in the answer itself
• Recommended a shortlist, with reasons

So the visitor who arrives is pre-qualified in a way a search click rarely is. They are not asking "what is this?" They are asking "is this the one, and how do I start?" That is why a tiny share of traffic can produce an outsized share of signups. The denominator shrank. The numerator did not shrink nearly as much.

This also explains why the usual SEO panic is misplaced. Yes, AI answers will eat some informational traffic — the "what is X" visits that never converted anyway. Losing those visits hurts a traffic chart. It does not necessarily hurt revenue. The visits worth keeping are the ones attached to a buying question, and those are exactly the visits AI answers are now routing.

Stop optimising for clicks. Start optimising for the answer.

If the click is now the end of the journey, the work moves earlier: into being the source the answer quotes, and into being the obvious next step once it does.

1. Say what you do in one quotable paragraph

AI answers quote pages that state a claim plainly, with evidence on the same page. A homepage that says "we help businesses grow with innovative solutions" gives an answer engine nothing to quote — because it says nothing specific. A page that says who you serve, what problem you solve, and how you are different, in the first paragraph, gives it a sentence it can lift whole.

Write the paragraph you would want quoted. Then check whether it actually appears on the page, in crawlable HTML, not buried in a JavaScript widget.

2. Answer the buyer's real question, not the keyword

Ranking content targets a keyword. Answer content targets a question a buyer actually asks, in the words they ask it: "which tool is best for a small team on a budget?", "what does it cost after the first year?", "what breaks when you scale past 10,000 users?" Pages built around those questions — with a direct answer first and the detail after — are the pages AI systems reach for.

3. Make the conversion step obvious from the answer

If an AI answer sends a buyer to your pricing page, that page has to finish the job: clear pricing, a visible next step, and proof — testimonials, case results, a comparison — on the same page. A buyer who arrives pre-sold and then has to hunt for a signup button is a buyer you will lose to a competitor whose page does not make them hunt.

4. Measure signups per AI referral, not AI sessions

This is the dashboard change that matters most. Split your analytics so AI referrals are a separate source, and track them all the way to signup, not just to session. A simple way to start is to segment referral traffic from the major AI platforms and compare its signup rate against organic search over the same period:

// Segment AI referrals in your analytics by referrer
const aiReferrers = ["chatgpt.com", "perplexity.ai", "claude.ai", "gemini.google.com"];
const isAiReferral = aiReferrers.some((domain) =>
  document.referrer.includes(domain)
);
// Tag the session, then compare signup rate: AI referrals vs organic

The point is not the code. It is the comparison. Once you can see that one AI referral is worth several organic visits, the internal argument about "losing traffic" ends, because the team is finally looking at the number that pays.

Ranking still matters — but the finish line moved

None of this means SEO is dead. Ranking still matters, for two reasons. First, the pages AI systems trust are usually the pages that already earned authority the old-fashioned way: consistent content, real expertise, third-party mentions. Second, not every buyer journey runs through an AI answer yet. Search still drives discovery for a huge share of queries.

What changed is the finish line. It used to be the most traffic. Now it is the most-quoted answer on the question buyers actually ask — followed by a page that converts the buyer who arrives. Traffic without that second half is just a chart going up. A cited answer with a working signup path is a business.

So stop asking whether SEO or GEO wins. Ask a better question: when an AI answer mentions your category, does it mention you — and when it sends you a buyer, does your page close?

That is the game now. The dashboards just have not caught up yet.

I break down systems like this daily — follow for more on web architecture, AI automation, and getting cited by the machines that now decide what gets read.