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AI Search Plays Two Different Games

Google AI Mode keeps shoppers inside its own pages for products, yet still links out for local services. One search, two games, a different playbook for each.

A quiet city street at dusk with one glowing shopfront, a person walking toward it, warm amber light, deep blue evening sky

Google just told us, in its own awkward way, that AI search is not one thing. On Alphabet's third-quarter earnings call, chief business officer Philipp Schindler said AI Mode queries carried "lower monetization" than regular search. Search revenue growth slowed anyway, and the stock took a beating the next day. Days later, Google expanded ads in AI Mode to ten more countries and switched on multiturn ads in the United States, so a sponsored placement can follow a shopper into the second and third question, not just the first.

Read those two moves together and the strategy is plain. Google earns less per AI answer, so it will sell more of the answer itself. More placements inside the answer, more follow-up placements, more shopping handled without a click out. That is the part most coverage stopped at. The part nobody priced in is the split inside the answer. A new study shows AI Mode treats a product question and a service question like two different searches, with two different winners.

That split is the whole post. Sell a product, and your fight is now inside Google's storefront. Sell a service, and your fight is still for a link out. Run the wrong playbook and you will optimize perfectly for a surface that was never going to send you traffic.

The Split, in One Study

The numbers come from Findrix, an AI visibility platform, in a study reported by Search Engine Land on October 29, 2026. Findrix tested 18,400 buyer questions across 35 US markets from October 14 to 17, collecting 55,198 answers from ChatGPT, Gemini, and Google AI Mode, one answer per question per platform. The findings measure links shown in AI answers, not clicks or purchases. That limit matters, and I will come back to it. The direction of travel is still hard to ignore.

For product questions, 57 percent of the links in Google AI Mode answers pointed to Google Shopping product pages. In 46.5 percent of US product answers, every link pointed to a Google-owned page. Fashion and beauty led that pattern. In swimwear, 60.4 percent of answers linked only to Google pages. In women's everyday fashion, the figure was 57 percent.

For local service questions, plumbers, lawyers, dentists, and the like, only 5.1 percent of AI Mode links went to Google pages. The rest went somewhere else. Somewhere a business could actually own.

Stop and hold those two numbers side by side. 57 percent against 5.1 percent. Same answer engine, same week, opposite behavior. A product answer is a shelf Google stocks itself. A service answer is still a set of directions to someone else's door. The reason is not a mystery. Findrix co-founder Yosif Merman pointed to Google's product database, with prices, ratings, and inventory in one place, which lets AI Mode build a product answer with fewer links out. Services have no equivalent database, so Google still has to point.

Google AI Mode links in product answers versus local service answers. Product answers: 57 percent of links go to Google Shopping. Local service answers: only 5.1 percent of links go to Google pages.
Same engine, opposite behavior. Products stay inside Google. Services still link out.

Where Products Actually Go

Here is the trap inside the product number. Seeing that 57 percent of links go to Shopping, a brand might assume a strong Shopping presence means a strong AI Mode presence. It does not. A separate Productrise study, covering more than 2 million listings across 100,000 search results pages from August 9 to 31, 2026, found only 1.28 percent of products in the traditional Google Shopping carousel also appeared in AI Mode for the same query on the same day. AI Mode showed an average of 3.9 products per query. The traditional carousel showed 27.8. Google confirmed both surfaces draw from the same Shopping Graph, but it has not verified the study's figures.

The carousel is a warehouse aisle with room for everyone. The AI answer is a shelf with room for four. Your product can be in the warehouse and still never make the shelf. Worse, when a product did appear in both, the first-listed seller differed 49.6 percent of the time, and AI Mode showed the higher price in 68.4 percent of cases where prices differed, with a median gap of 22.2 percent above the carousel price.

So the product game is not "rank in Shopping." It is "get picked for a four-product shelf, at a price and seller you control." Feed health stops being a back-office chore and becomes the listing itself. A disapproved product, a stale price, or a missing size can quietly remove you from a shelf that only holds four items. And because the answer engine does the comparing, the product page has to match the feed exactly, or the engine has a reason to pick the seller whose numbers agree.

I wrote recently about how the auction moved inside the AI answer, and this is the product version of that shift. The click used to be the contest. Now the contest is the mention, and for products the mention often lives on a Google page, not yours.

The shopper here is not browsing your site. She is comparing inside an answer. For a product brand, that answer is now the storefront.

A shopper in a clothing store holding a phone, comparing a garment on a rack with the phone screen, warm amber light, deep blue evening outside
The answer is the storefront now.

The Second Question Decides It

There is a third piece, and it applies to both games. Google said AI Mode queries run about three times longer than regular searches, and that most of them are extra searches, not replacements. People are not just asking once and leaving. They are asking, then asking again. Multiturn ads exist because the conversation continues. That makes the follow-up question the new homepage.

The first question is usually broad. "Best waterproof hiking boots under $150." "Plumber near me for a leaking water heater." The second question is where the buyer gets specific, and where most pages go silent. Which boots hold up on wet rock. Whether the water heater repair needs a permit. What the warranty covers. What breaks first. What it costs when it breaks at night.

Most content stops at the first question, because that is what the keyword tool shows. A product page that answers only the spec sheet loses the follow-up to the review or the competitor page that answered the durability question in plain words. A service page that answers only the service list loses the follow-up to the page that stated the price logic and the response time.

Build for the second question on purpose. Take your ten best-selling products or your ten most-booked services. For each one, write down the three questions customers ask after the first answer. Then check whether your page answers all three in its first screen of facts, not buried in a blog post from last year. That check decides whether the answer engine keeps your name in the conversation or swaps in someone else's when the buyer gets serious.

Run Two Playbooks, Not One

Here is how I would split the work, by game, starting this week.

If you sell products, audit the shelf before you buy more traffic. Pull your top 20 products by revenue. Check each one in Merchant Center for disapprovals, price mismatches against the live page, and missing attributes, especially size, color, availability, and ratings. Then ask AI Mode the buying question for each one and record three things: does your product appear, at what price, and from which seller. Fix the feed first, because a feed error removes you before any ad or content can help.

If you sell services, audit the citation before you buy more traffic. Pull your ten most-booked services. For each one, check whether your page states the service, the area, the price logic, what is included, and one piece of proof, in facts a stranger could repeat. Then ask AI Mode the service question and record who gets cited, and what sentence it quotes. If the quote comes from a directory or a competitor, your page did not give the engine a better sentence. Write one.

For both games, stop grading AI search by click rate alone. For products, grade it by shelf presence: how often your product appears, at the right price, from the right seller. For services, grade it by citation: how often your page is quoted, and whether that quote brings a call, a booking, or a form fill.

One more warning, from the earnings call itself. Google earns less per AI answer, and it just added more ads inside answers to fix that. Expect the line between a sponsored product slot and an organic product slot to get harder to see, not easier. Google already says click rates are similar for sponsored and organic product listings inside AI Mode, using its own internal US data. Similar click rates do not mean similar value. Watch your own numbers, product by product, before you trust the platform average.

Two playbooks. Product game: feed, Shopping Graph, and a four product AI answer shelf. Service game: quotable page, AI citation, and a click out to the business.
Products win a shelf. Services win a citation. The work, and the scoreboard, are different.

Pick Your Game

AI search did not kill marketing. It split it. Products now compete for a shelf inside Google, where the feed is the listing and four slots is the whole contest. Services still compete for a citation, where the page that answers the question gets the introduction.

The brands that waste the next quarter will run one AI strategy for both games, grade both by clicks, and wonder why the product traffic never arrives and the service page never gets quoted. The brands that gain will pick their game on purpose, then do the work that game rewards: clean feeds for products, quotable facts for services, and follow-up answers for everyone.

Ask AI Mode your own buying question tonight. See which game you are already in, and whether you are winning it.

FAQs

What did the Findrix study find about AI Mode product links?

Findrix tested 18,400 buyer questions across 35 US markets in October 2026, collecting 55,198 AI answers. It found 57 percent of links in Google AI Mode product answers pointed to Google Shopping pages, and 46.5 percent of US product answers linked only to Google-owned pages. The study measures links shown, not clicks or purchases.

Why do AI Mode answers link out more for local services?

Google has a product database with prices, ratings, and inventory, so it can build a product answer from its own pages. It has no equivalent database for a plumber, lawyer, or dentist, so it still has to cite an outside page. In the Findrix study, only 5.1 percent of local service links went to Google pages.

Does a strong Google Shopping presence guarantee AI Mode visibility?

No. A Productrise study found only 1.28 percent of products in the traditional Shopping carousel also appeared in AI Mode for the same query on the same day. AI Mode showed about 3.9 products per query, against 27.8 in the carousel. Feed health, price accuracy, and availability decide whether a product makes the much smaller AI shelf.

What is a multiturn ad in AI Mode?

A multiturn ad is a sponsored placement that can appear in follow-up questions inside the same AI Mode conversation, not only in the first answer. Google switched multiturn ads on in the United States alongside its October 2026 expansion of AI Mode ads to ten more countries.

How should a product brand measure AI search performance?

Measure shelf presence first: how often your product appears in the AI answer, at what price, and from which seller. Click rate alone misleads, because the shopper may buy from the seller shown in the answer, or from a different seller at a different price, without ever visiting your page.

How should a service business measure AI search performance?

Measure citations and what follows them: how often your page is the source quoted in the answer, and whether that quote leads to a call, a booking, or a form fill. A page that states the service, the area, the price logic, and proof in repeatable facts is the page most likely to be quoted.

Can a business opt out of AI Mode and keep its old search traffic?

Not cleanly, based on the small test available. Cyrus Shepard's one-site test found opting out of AI features also lowered clicks on regular organic results. Treat that as a signal from one site, not a rule, but do not plan around a clean exit that the test did not show.

Pick your game.
Then do the work it rewards.