Platforms and commerce6 min read

AI Shopping Traffic Grew 71%. Those Visits Now Earn 83% More Than Other Visits.

Adobe's retail data shows two things rising at once: the number of shoppers arriving from AI assistants, and how much each of those visits is worth. A year ago, an AI visit was worth less than half of a typical one. One number is still missing: AI's share of all traffic.

AI shopping visits: more of them, and each one worth moreUS retail sites, September 2026Copy link

The first bar compares with September 2025. The other two compare AI visits with other visits in the same month, so the three numbers cannot be multiplied together. Source: Adobe, AI traffic and revenue per visit (29 October 2026).

When a shopper asks an AI assistant which laptop or vacuum to buy and then clicks through to a store, that visit now counts. Adobe says visits to US retail sites from generative AI sources grew 71% in September 2026 compared with a year earlier (Adobe, 29 October 2026).

Growth alone would be a familiar story. The more unusual part is the value of each visit. In the same month, AI visits generated 83% more revenue per visit than visits from other sources, such as email, paid search and social media. About a year earlier, Adobe says, an AI visit was worth less than half of a typical one.

Revenue from any channel is visits × revenue per visit. For AI shopping traffic, both sides of that equation are moving in the same direction, and the second is moving faster.

Where the data comes from

All figures in this article come from Adobe Digital Insights, which measures transactions on retail sites that use Adobe’s software. Adobe says this release covers more than 1 trillion visits to US retail sites, 100 million products and 18 product categories. A visit counts as AI traffic when a shopper clicks a link in a generative AI tool and lands on a retail site.

That is a very large sample, but it is Adobe’s sample, with Adobe’s definitions. Retailers that do not use Adobe’s tools are not in it, and AI answers that lead to a purchase without a click are not counted at all.

The reversal: from weaker visits to stronger ones

When AI shopping referrals first appeared, they behaved like curious browsing: people clicked, looked and left. Adobe’s figures show how quickly that has changed.

An AI visit has gone from worth less than a typical visit to worth almost twice as muchAI-referred visits compared with other visits to US retail sites (other visits = 1.0×)Copy link

Adobe describes the earlier revenue figure only as 'less than half' of a typical visit, so that bar is drawn at 0.5× as an upper limit. Source: Adobe, AI traffic and revenue per visit (29 October 2026).

Going from less than 0.5× to 1.83× means that, compared with other traffic, an AI visit is now worth at least 3.7 times as much as it was a year ago Calculated by NodeZero. This is a relative measure: Adobe does not publish revenue per visit in dollars, so the change could come partly from other traffic becoming less valuable.

The 90% figure is also relative. It means AI visitors were 1.9 times as likely to buy as other visitors, not that 90% of them bought something.

Why AI visitors may be better customers

Adobe’s engagement figures point the same way. Compared with other visitors in September 2026, people arriving from AI tools:

AI visitors stay longer and buy more oftenAI-referred visits compared with other visits to US retail sites, September 2026Copy link

Source: Adobe, AI traffic and revenue per visit (29 October 2026).

A likely explanation is intent. Someone who has already asked an assistant to compare products, check reviews or find a specific model may arrive later in the buying process than someone who clicked a social media ad. Adobe’s survey of more than 5,000 US consumers adds one more sign: 69% said they are less likely to return an item they bought with the help of an AI assistant Surveyed.

That explanation is plausible but not proven by this data. Adobe shows that AI visitors behave differently, not why.

Volume: how fast AI traffic is growing

Adobe has tracked AI traffic to retail sites since October 2024 and says it has grown substantially every month since. Its two most recent releases give these figures:

Measure Figure Published
AI traffic growth, August 2026 +127% year over year Adobe holiday forecast
AI traffic growth, September 2026 +71% year over year 29 October 2026
Forecast, November–December 2026 +130% year over year Adobe holiday forecast
Forecast, Thanksgiving +141%, later revised to +159% Holiday forecast; 29 October 2026
Forecast, Black Friday +95% 29 October 2026
Forecast, Cyber Monday +88% 29 October 2026

Sources: Adobe holiday shopping report and Adobe, 29 October 2026 Observed. Forecasts are Adobe’s Estimated.

Two cautions. First, monthly growth rates move around: August’s +127% and September’s +71% compare with different months a year earlier, so the drop does not necessarily mean the trend is slowing. Second, Adobe’s Thanksgiving forecast appears in two versions; this article uses the newer one where they differ.

Adobe expects AI shopping traffic to surge during Cyber WeekYear-over-year growth in AI-referred visits to US retail sites: September actual, holiday forecastsCopy link

Source: Adobe, AI traffic and revenue per visit (29 October 2026).

For scale, Adobe forecasts total US online holiday spending of $275.1 billion in November and December, up 6.7% from $257.8 billion in 2025 (Adobe forecast). AI traffic is growing far faster than spending overall, but from a base whose size Adobe does not state.

The missing number: AI’s share of traffic

The obvious next step would be to multiply the pieces: if AI visits grew 71% and each is worth 83% more, how much of online sales does AI now drive? The data does not allow it, for three reasons:

  1. No share. Without AI’s share of all visits, a large percentage increase could still be a small amount of money.
  2. Different comparisons. The 71% compares September 2026 with September 2025. The 83% compares AI visits with other visits in the same month. Multiplying them would mix two different questions.
  3. Attribution. A shopper who researches with an assistant and later types the store’s address directly is not counted as AI traffic.

So the honest conclusion is narrower: AI referrals are growing quickly, and the visits they send are now among the most valuable a retailer gets. How big the channel is overall remains unknown from this data.

Being readable by AI

Adobe also scores how much of a web page AI systems can understand and cite. In September 2026, the average US retail homepage scored 63%, meaning more than a third of its content was not usable by AI tools Observed.

Pages that explain are easier for AI to read than pages that promoteAdobe Citation Readability Score for US retail sites, September 2026 (share of page content AI can understand and cite)Copy link

Source: Adobe, AI traffic and revenue per visit (29 October 2026).

Electronics scores highest, which Adobe links to category and customer service pages full of setup guides, troubleshooting articles and specifications. General merchandise homepages, heavy on navigation and promotions, score lowest. The pattern is intuitive: content that answers questions is the content AI can recommend. The score is Adobe’s own measure, and its method is not published in detail.

What the numbers do not tell us

  • AI’s total share of retail traffic or sales. Neither release gives it.
  • Dollar values. Revenue per visit is given only relative to other traffic, not in dollars.
  • Why AI visitors convert better. Higher purchase intent is a likely explanation, not a measured one.
  • The whole market. Adobe’s data covers retailers using its tools, which may not represent every retailer.
  • Forecasts are forecasts. Adobe’s holiday predictions can be checked against its own results after Cyber Monday.

What to watch next

  • Cyber Week results. In past years, Adobe has published results during and after the holiday shopping days. If AI traffic grows near the forecast +95% on Black Friday while staying more valuable per visit, the channel’s weight in holiday sales will be clearer.
  • Revenue per visit. Adobe forecasts that AI’s revenue-per-visit advantage will double this holiday season. That is a strong claim to check against the results.
  • Discounts. Adobe expects discounts to deepen from 14% in early November to 30% during Cyber Week. Lower prices tend to raise conversion and lower revenue per order, so the holiday season will test whether AI visitors stay more valuable when everyone is shopping on price.

Key terms

  • AI-referred visit (AI traffic): a visit to a retail site that starts with a click on a link in a generative AI tool, such as a chatbot or AI search assistant.
  • Conversion rate: the share of visits that end in a purchase.
  • Revenue per visit: total revenue divided by the number of visits, here compared between AI and other traffic.
  • Citation Readability Score: Adobe’s measure of how much of a web page’s content AI systems can understand and cite.

Notes on the data

  • Traffic, conversion, engagement, revenue-per-visit and readability figures are from Adobe Digital Insights, based on more than 1 trillion visits to US retail sites. They are observed in Adobe’s dataset, which covers retailers using Adobe’s tools.
  • The return-intent figure (69%) comes from Adobe’s survey of more than 5,000 US consumers, conducted in September 2026.
  • “More than tripled” is a NodeZero calculation: 1.83 ÷ 0.5 = 3.66, and because Adobe gives the earlier value only as “less than half”, the true increase is at least that large.
  • Holiday forecasts are Adobe’s. Its Thanksgiving forecast appears as +141% in the holiday report and +159% in the later 29 October release; we use the later figure in charts.

Sources

Adobe: AI traffic now generates 83% higher revenue per visit (29 Oct 2026) · 2026 holiday shopping report · Topline holiday spending forecast

  • AI shopping
  • ecommerce
  • holiday shopping
  • Adobe
  • price vs volume

Every figure in this article links to its source and was checked against that source before publishing. How we check figures