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Ecommerce Statistics 2026: AI, LLMs, and Agentic Commerce.

The numbers that actually matter for AI, LLMs, and agentic commerce, verified against primary sources and updated on a rolling basis. Where vendor data and peer-reviewed research disagree, both are shown.

4,700%
YoY growth in AI-driven visits to US retail sites, July 2025
$14.2B
Global online sales influenced by AI and agents on Black Friday 2025
76%
of consumers say they want AI-powered shopping assistants
97%
of retailers have implemented AI or have a program in development
01 · Growth

The rise of AI-driven shopping traffic

AI referrals to retail sites went from statistical rounding error to a tracked channel inside 18 months. The growth rates are enormous, but they compound off a tiny base.

4,700%
YoY growth in AI-driven visits to US retail sites, July 2025
Based on 1+ trillion visits to US retail sites.
805%
YoY growth in AI-driven traffic to US retail sites on Black Friday 2025
300%
Growth in third-party AI agent traffic to retailers in the first half of Black Friday 2025
~7×
Growth in AI-referred traffic to Shopify merchants, January through Q3 2025
Reported on Shopify's Q3 2025 earnings call (November 2025).
3,300%
YoY growth in GenAI-referred traffic to US retail sites during Prime Day 2025
0%1,250%2,500%3,750%5,000%1,300%Nov–Dec 20241,100%Jan 20251,200%Feb 20253,100%Apr 20254,700%Jul 2025805%BF 2025
Source: Adobe Analytics, YoY growth in AI-referred visits to US retail sites. The November 2025 data point compares the Black Friday week only. Growth rates are expected to compress as the base grows.

The headline 4,700% figure is real but early. It measures a channel that still represents well under 1% of total retail traffic. The more interesting story is durability, not slope. Adobe, Salesforce, and Shopify all report the channel holding up week on week in 2026, not just during promotional peaks.

02 · Demand

Consumer adoption of AI shopping

Consumers are ahead of retailers. Awareness is nearly universal, satisfaction is high, and replacement behavior (AI instead of Google) is already normal for a third of US adults.

76%
want AI-powered shopping assistants
63%
want to shop with help from generative AI
58%
have replaced traditional search with generative AI for product research
71%
want generative AI integrated into shopping experiences
38%
of US consumers have used generative AI for online shopping
Another 52% plan to.
85%
of AI users say the experience improved their shopping
73%
cite AI as their primary source of product research
87%
are more likely to use AI for larger or more complex purchases
86%
of US shoppers know they can use ChatGPT for shopping
55%
have knowingly used a retailer AI assistant (Rufus, Sparky)
Gen Z44%10%46%Millennials46%20%34%Gen X35%18%47%already useplan tonot planning
Source: Capital One Shopping AI Shopping Report, 2026. Percentages within each generation. Gen Z and Millennial AI users report the largest YoY jump in satisfaction (up from 70–79% in 2024 to 90–95% in 2026).

Satisfaction is the lead indicator, not adoption. When 85% of users say the experience improved their shopping and 73% call it their primary research source, the behavior becomes sticky. That is the gap retailers without an AI strategy are losing ground to, even if the traffic numbers still look small. The agentic commerce explainer covers what happens when that research step collapses into a transaction the shopper never sees.

03 · Peak

Black Friday and Cyber Week 2025

The first AI-native peak season. Agent traffic, agent conversations, and agent-executed actions all stepped up together, with a measurable conversion lift for AI-referred shoppers.

$14.2B
Global online sales driven by generative AI and agents, Black Friday 2025
~$3B
US Black Friday 2025 online sales attributed to AI and agents
~20%
of all global online orders during Cyber Week 2025 were AI-influenced (~$67B)
~17%
of US Cyber Week orders were AI or agent influenced (~$13.5B)
+38%
conversion lift for shoppers arriving from an AI service on Black Friday
+55%
week-on-week growth in agentic customer-service conversations
+70%
growth in agent-executed actions (address updates, returns)
32%
faster Cyber Week sales growth for retailers with their own branded AI agent
+5%
conversion lift for retailers using AI and agents during Cyber Week 2025
$0M$3.8B$7.5B$11.3B$15.0B$10.8B$11.8BUS online sales$100M$3.0BAI-driven sales, US$1.2B$14.2BAI-driven sales, global20242025
Source: Salesforce, based on shopping data from 1.5 billion consumers. Figures in US dollars. 2024 AI-driven baseline in the US is small enough to be a sliver on this scale.

The $14.2B global figure is influenced rather than attributed: it counts orders where generative AI or an agent touched the journey. The US figure is smaller because agentic commerce protocols rolled out into US checkouts first and had the most integration coverage.

04 · Reality

How AI traffic actually converts vs traditional channels

Peer-reviewed work from Kaiser and Schulze at Hamburg and Frankfurt School, across 973 retailers and ~$20B in combined revenue, tells a more cautious story than most vendor data.

973
ecommerce sites in the Kaiser & Schulze dataset (~$20B combined revenue)
50k+
ChatGPT referral transactions analysed vs 164M from traditional channels
<0.2%
share of total ecommerce traffic from organic LLM referrals
+86%
affiliate conversion rate lift over ChatGPT referrals
+13%
organic search conversion rate lift over ChatGPT referrals
Affiliate+86%Organic search+13%Paid search+5%ChatGPT referral0%Paid social-22%ChatGPT = baseline
Source: Kaiser & Schulze, SSRN 5585812 (October 2025). 973 retailers, 12 months, 50k+ ChatGPT transactions vs 164M traditional. ChatGPT = 0 baseline. Paid search figure estimated from the authors' channel ranking.

Both things are true. AI-referred traffic is growing fast and converts better than paid social. It is also still below organic search and affiliate on every conversion metric the academic work captured. The authors read the ChatGPT engagement pattern (long sessions, deep browsing, lower conversion) as research-stage behavior, not purchase-stage, and conclude parity with organic search inside a year is unlikely.

05 · Platforms

ChatGPT vs Perplexity vs Gemini vs Rufus

Not all LLM traffic is equal. ChatGPT dominates share. Perplexity converts at a higher AOV. Retailer-owned assistants are a separate channel again.

~97%
of LLM-referred ecommerce sessions come from ChatGPT
+57%
higher AOV per visit from Perplexity vs ChatGPT
1.81%
LLM-referral conversion rate vs 1.39% for non-branded organic search
−14.3%
AOV from LLM referrals ($204) vs non-branded organic ($238)
12% vs 7%
ChatGPT vs Google-referred conversion on Amazon, Black Friday 2025
+46%
longer time on site for ChatGPT-referred shoppers on Amazon
68%
of AI citations come from third-party sources, not brand-owned sites
16%
of brands currently track AI search performance systematically
ChatGPT97% of sessionsPerplexity1.8% of sessionsGemini0.8% of sessionsOther0.4% of sessions
Source: Alhena, 94 mid-market ecommerce brands tracked through 2025. ChatGPT's near-total share masks meaningful AOV differences: Perplexity visits convert at 57% higher AOV despite being a sliver of volume.

If the goal is getting cited inside these assistants rather than just measuring the traffic they send, the AI visibility tools directory tracks the platforms that monitor brand mentions across ChatGPT, Perplexity, Gemini, and Claude.

06 · Protocols

Agentic commerce: ACP, UCP, and MCP

The infrastructure shift most retail teams are underestimating. Three protocols, three sponsors, one outcome: AI agents transacting on behalf of shoppers without a browser in the middle.

ProtocolBuilt byCoversRuns inStatus
ACPOpenAI + StripeInstant Checkout inside ChatGPTChatGPT (Etsy, Shopify)Live since 29 Sep 2025
UCPGoogle + ShopifyUniversal agentic commerceGemini, Google Search, third-party agentsLaunched at NRF, 11 Jan 2026
MCPAnthropic (Linux Foundation)Model-to-tool connection standardClaude, Salesforce, Adobe, any MCP hostGeneral-purpose, stable
4%
OpenAI transaction fee charged to Shopify merchants on ChatGPT Instant Checkout orders, effective January 2026
~1 in 5
of Walmart's August 2025 referral clicks came from ChatGPT, +15% MoM (Similarweb)
$3–5T
projected global agentic commerce market size by 2030 ($1T US B2C retail only)

OpenAI launched Instant Checkout via ACP on 29 September 2025, starting with Etsy sellers and Shopify merchants, with a 4% merchant fee on completed purchases. Google followed at NRF on 11 January 2026 with UCP, co-developed with Shopify and endorsed by 20+ retailers including Home Depot, Lowe's, Best Buy, Macy's, Visa, and Mastercard. MCP, originally built by Anthropic and now governed by the Linux Foundation, is the general-purpose tool-connection standard that catalog integrations from Salesforce and Adobe already rely on. Merchants weighing where to invest are looking at ACP and UCP as complementary, not either-or.

07 · Supply side

Retailer AI adoption

Implementation has outrun measurement. Almost every retailer is doing something with AI. Far fewer can tell you what it is worth.

97%
of retailers have implemented AI or have a program in development. The more revealing stat is how few have attribution in place to know which of those programs is working.
~35%
of Amazon revenue attributed to AI product recommendations
32%
faster Cyber Week 2025 sales growth for retailers with branded AI agents

Amazon is the outlier. Approximately 35% of Amazon revenue is attributed to AI-driven product recommendations, which sets a ceiling the rest of the industry is nowhere near. For everyone else, the 2025 Cyber Week data is the clearest signal that branded AI agents compound advantage: retailers with their own AI agent grew 32% faster than those without. Salesforce / Digital Commerce 360, 2025

08 · Caution

The honest reality check

Three things worth saying out loud before anyone reorganises a roadmap around AI traffic.

  1. 01

    AI traffic growth is real and fast, but it is compounding off a very small base. A 4,700% jump on a channel that was rounding error a year ago still lands below 1% of total retail traffic in most datasets.

  2. 02

    Vendor-reported conversion and revenue-influence numbers depend on attribution methodology. Salesforce's $14.2B is an influenced figure, not a direct-attributed one. Peer-reviewed work from Kaiser and Schulze, on first-party transaction data, tells a more cautious story that is equally true.

  3. 03

    The structural shift worth watching is not the traffic growth rate, it is the protocol layer. ACP, UCP, and MCP are how agents will transact in 2026 and 2027. That is the infrastructure bet, not the headline percentage.

09 · Methodology

How this page is researched and updated

This page is updated on a rolling basis as new primary data is published. Every statistic links to a primary source (vendor research, peer-reviewed papers, or retailer disclosures). Where two credible sources disagree, both are shown rather than blended. The page was last reviewed on 2026-04-19 and is maintained by Carl Hendy. Contact details are at the site footer.

Sources cited on this page