Google AI Mode shows products 21.6% pricier than search
Google AI Mode prices matched products 21.6% higher than traditional search and shares just 1.28% of listings, a Productrise study finds.
Bunny Team · · 6 min read
On this page ↓
- What the data says
- Why it matters if you are launching or doing SEO
- What to watch
- Key takeaways
- FAQ
- What did the Productrise study find about Google AI Mode pricing?
- How much product overlap is there between Google AI Mode and traditional search?
- Has Google verified the Productrise study's numbers?
- What powers shopping results in Google AI Mode?
Productrise, a company that tracks organic product visibility in Google Shopping, published a study on 1 September 2026 showing that Google AI Mode lists the same products at higher prices than traditional search does. Founder Hugo Huijer's team tracked more than 2 million product listings across over 100,000 SERPs and AI Mode responses between 9 and 31 August 2026, running identical shopping searches through both surfaces on the same day at the same moment. The study reached 364 points on Hacker News on 4 September 2026.
When the exact same product ranks in both Google AI Mode and traditional search, Productrise found it priced 21.6% higher in AI Mode on average. The two rarely show the same products at all: just 1.28% of products ranking in traditional search also appear in AI Mode for the same search on the same day.
What the data says
AI Mode's higher prices are not limited to matched products. Looking at every priced listing Productrise tracked, not just the ones appearing on both sides, AI Mode's typical price was still higher: a median of $149 against $100 in traditional search, a 49% gap.
Matched products do not always disagree on price. Productrise found a price mismatch on 38.1% of matched products, and when the two sides disagreed, AI Mode was the pricier one 68.4% of the time. On the products where AI Mode cost more, the median gap was 22.2% (the average, 88.5%, was pulled up by outliers, such as a used item in traditional search matched against a new one in AI Mode). Where AI Mode was cheaper instead, the gap was smaller: a median of 7.8% and an average of 11.9%.
The comparison is narrower than all of Google Search. On the traditional side it only counts the Popular products carousel, and it matches products using Google's own product ID, comparing the first-listed offer on each side for price and seller, according to Search Engine Journal. The study ran in the US and UK. Even within that narrower, matched comparison, the seller listed first differs 49.6% of the time. AI Mode also shows far fewer products to begin with: an average of 3.9 per search against 27.8 in the carousel, making up just 12.3% of all the priced listings Productrise tracked.
Both surfaces draw on the same catalog and answer the same search on the same day, yet they still land on different products at different prices most of the time. Search Engine Journal reported that Google says AI Mode and the Popular products carousel pull from the same Shopping Graph, a dataset Google describes as covering more than 50 billion products, 2 billion of which are updated every hour, and which it says also powers shopping in the Gemini app, according to a 7 April 2026 blog post about AI shopping features rolling out in India.
This is not the first time Productrise has found AI Mode thin on products. An earlier study covering three weeks in July 2026, reported by PPC Land, found that standard search returned at least one product on 88% of shopping queries against 23% in AI Mode, and that when products did appear on both, standard search showed an average of 22.5 listings against 4.3 in AI Mode.
Why it matters if you are launching or doing SEO
Ranking in Google's Popular products carousel does not carry over to AI Mode, so a product feed built for one is not automatically visible on the other. With only 1.28% overlap between the two surfaces, tracking Shopping visibility now means checking two separate placements, not one.
The seller mismatch is the sharper problem. If Google names a different seller as the lead offer on your own product almost half the time, a shopper reading an AI Mode answer can end up buying from a competitor while looking at a description of your product. Checking who Google names as the seller, and at what price, is now part of tracking AI visibility alongside tracking rankings.
AI Mode also shows far fewer products per search than the carousel does, so the few that do appear are competing against much less choice than they would in traditional search. That means keeping product feed data accurate, including fields like Product Highlights and Product Details, matters more, since Google draws on the same Shopping Graph to decide what to show and who to credit as the seller.
No single placement, including a spot in Google Shopping, covers all of a product's visibility, and this study's overlap numbers are a reminder why. This post is published on bunny.directory's blog, a launch directory for startups where a founder submits a product, a person reviews it, and the listing gets a permanent product page with a dofollow link back to the product's site. A directory listing is a separate placement from Shopping Graph visibility, and the two do not substitute for each other.
What to watch
The open question is whether Google's expanding monetization in AI Mode changes these numbers. Google told Futurism it has not verified Productrise's figures, Search Engine Journal reported on 3 September 2026, and noted that Productrise's queries are drawn from products it already tracks rather than a random sample of Google searches. Google introduced a shopping ad format built for AI Mode on 11 February 2026, and by late May 2026 sponsored listings there had become hard to tell apart from organic results, according to PPC Land. Jason Berkowitz, founder of Break The Web, asked when Productrise published its July findings whether AI Mode's thin product results were permanent or a phase that would fade as those placements grew. Neither this study nor Google's response settles that yet.
Key takeaways
- Productrise's 23-day study found that matched products cost 21.6% more in Google AI Mode than in traditional search.
- Only 1.28% of products that rank in traditional search's Popular products carousel also show up in AI Mode for the same search on the same day.
- Across every priced listing tracked, not just matches, AI Mode's median price was $149 against $100 in traditional search.
- The seller listed first for a matched product differs between AI Mode and traditional search 49.6% of the time.
- Google told Futurism it has not verified Productrise's figures, according to Search Engine Journal.
FAQ
What did the Productrise study find about Google AI Mode pricing?
Productrise's 23-day study, covering 9 to 31 August 2026, found that when the same product ranks in both Google AI Mode and traditional search, AI Mode lists it 21.6% more expensive on average. Across every priced listing tracked, not just matched products, AI Mode's typical price was 49% higher than traditional search's, a median of $149 against $100.
How much product overlap is there between Google AI Mode and traditional search?
Very little. Productrise found that only 1.28% of products ranking in traditional search's Popular products carousel also appeared in AI Mode for the same search on the same day, even though Google says both surfaces draw on the same Shopping Graph, according to Search Engine Journal.
Has Google verified the Productrise study's numbers?
No. Google told Futurism it has not verified Productrise's figures, Search Engine Journal reported on 3 September 2026. Productrise's queries are also drawn from products already tracked on its own platform rather than a random sample of Google searches.
What powers shopping results in Google AI Mode?
Google's Shopping Graph, a dataset the company describes as covering more than 50 billion products with 2 billion updated every hour, combined with its Gemini models, according to a 7 April 2026 Google blog post about AI shopping features. Google says both AI Mode and the traditional Popular products carousel pull from that same graph.
Source: Productrise Discussion: Hacker News
If you are trying to be found in both classic search and AI answers at once, bunny.directory's startup launch checklist is a free way to check you have covered the basics before you launch.